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Python Passive Network Mapping

Python Passive Network Mapping
P2NMAP

by Chet Hosmer

  • Publisher : Syngress
  • Release : 2015-06-10
  • Pages : 162
  • ISBN : 0128027428
  • Language : En, Es, Fr & De
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Python Passive Network Mapping: P2NMAP is the first book to reveal a revolutionary and open source method for exposing nefarious network activity. The "Heartbleed" vulnerability has revealed significant weaknesses within enterprise environments related to the lack of a definitive mapping of network assets. In Python Passive Network Mapping, Chet Hosmer shows you how to effectively and definitively passively map networks. Active or probing methods to network mapping have traditionally been used, but they have many drawbacks - they can disrupt operations, crash systems, and - most importantly - miss critical nefarious activity. You require an accurate picture of the environments you protect and operate in order to rapidly investigate, mitigate, and then recover from these new attack vectors. This book gives you a deep understanding of new innovations to passive network mapping, while delivering open source Python-based tools that can be put into practice immediately. Python Passive Network Mapping is for practitioners, forensic investigators, IT teams, and individuals who work together when performing incident response and investigating potential damage, or are examining the impacts of new malware threats. Those defending critical infrastructures will have a special interest in this book, as active or probing methods of network mapping are rarely used within these environments as any resulting impacts can be disastrous. Python Passive Network Mapping is ideally suited for use as a text in a variety of academic programs to expose and engage students in the art of passively mapping enterprise networks, with the added benefit of providing exposure to open source Python solutions. First book to show you how to use open source Python to conduct passive network mapping Provides a new method for conducting incident response and investigating the extent of potential damage to your systems Python code forensics toolkit for network mapping included on the companion website

Integrating Python with Leading Computer Forensics Platforms

Integrating Python with Leading Computer Forensics Platforms
A Book

by Chet Hosmer

  • Publisher : Syngress
  • Release : 2016-09-26
  • Pages : 216
  • ISBN : 012809950X
  • Language : En, Es, Fr & De
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Integrating Python with Leading Computer Forensic Platforms takes a definitive look at how and why the integration of Python advances the field of digital forensics. In addition, the book includes practical, never seen Python examples that can be immediately put to use. Noted author Chet Hosmer demonstrates how to extend four key Forensic Platforms using Python, including EnCase by Guidance Software, MPE+ by AccessData, The Open Source Autopsy/SleuthKit by Brian Carrier and WetStone Technologies, and Live Acquisition and Triage Tool US-LATT. This book is for practitioners, forensic investigators, educators, students, private investigators, or anyone advancing digital forensics for investigating cybercrime. Additionally, the open source availability of the examples allows for sharing and growth within the industry. This book is the first to provide details on how to directly integrate Python into key forensic platforms. Provides hands-on tools, code samples, detailed instruction, and documentation that can be immediately put to use Shows how to integrate Python with popular digital forensic platforms, including EnCase, MPE+, The Open Source Autopsy/SleuthKit, and US-LATT Presents complete coverage of how to use Open Source Python scripts to extend and modify popular digital forensic Platforms

Executing Windows Command Line Investigations

Executing Windows Command Line Investigations
While Ensuring Evidentiary Integrity

by Chet Hosmer,Joshua Bartolomie,Rosanne Pelli

  • Publisher : Syngress
  • Release : 2016-06-11
  • Pages : 228
  • ISBN : 0128092718
  • Language : En, Es, Fr & De
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The book Executing Windows Command Line Investigations targets the needs of cyber security practitioners who focus on digital forensics and incident response. These are the individuals who are ultimately responsible for executing critical tasks such as incident response; forensic analysis and triage; damage assessments; espionage or other criminal investigations; malware analysis; and responding to human resource violations. The authors lead readers through the importance of Windows CLI, as well as optimal configuration and usage. Readers will then learn the importance of maintaining evidentiary integrity, evidence volatility, and gain appropriate insight into methodologies that limit the potential of inadvertently destroying or otherwise altering evidence. Next, readers will be given an overview on how to use the proprietary software that accompanies the book as a download from the companion website. This software, called Proactive Incident Response Command Shell (PIRCS), developed by Harris Corporation provides an interface similar to that of a Windows CLI that automates evidentiary chain of custody and reduces human error and documentation gaps during incident response. Includes a free download of the Proactive Incident Response Command Shell (PIRCS) software Learn about the technical details of Windows CLI so you can directly manage every aspect of incident response evidence acquisition and triage, while maintaining evidentiary integrity

PowerShell and Python Together

PowerShell and Python Together
Targeting Digital Investigations

by Chet Hosmer

  • Publisher : Apress
  • Release : 2019-03-30
  • Pages : 216
  • ISBN : 1484245040
  • Language : En, Es, Fr & De
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Bring together the Python programming language and Microsoft’s PowerShell to address digital investigations and create state-of-the-art solutions for administrators, IT personnel, cyber response teams, and forensic investigators. You will learn how to join PowerShell's robust set of commands and access to the internals of both the MS Windows desktop and enterprise devices and Python's rich scripting environment allowing for the rapid development of new tools for investigation, automation, and deep analysis. PowerShell and Python Together takes a practical approach that provides an entry point and level playing field for a wide range of individuals, small companies, researchers, academics, students, and hobbyists to participate. What You’ll Learn Leverage the internals of PowerShell for: digital investigation, incident response, and forensics Leverage Python to exploit already existing PowerShell CmdLets and aliases to build new automation and analysis capabilities Create combined PowerShell and Python applications that provide: rapid response capabilities to cybersecurity events, assistance in the precipitous collection of critical evidence (from the desktop and enterprise), and the ability to analyze, reason about, and respond to events and evidence collected across the enterprise Who This Book Is For System administrators, IT personnel, incident response teams, forensic investigators, professors teaching in undergraduate and graduate programs in cybersecurity, students in cybersecurity and computer science programs, and software developers and engineers developing new cybersecurity defenses

Network Security Through Data Analysis

Network Security Through Data Analysis
From Data to Action

by Michael Collins

  • Publisher : "O'Reilly Media, Inc."
  • Release : 2017-09-08
  • Pages : 428
  • ISBN : 149196281X
  • Language : En, Es, Fr & De
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Traditional intrusion detection and logfile analysis are no longer enough to protect today’s complex networks. In the updated second edition of this practical guide, security researcher Michael Collins shows InfoSec personnel the latest techniques and tools for collecting and analyzing network traffic datasets. You’ll understand how your network is used, and what actions are necessary to harden and defend the systems within it. In three sections, this book examines the process of collecting and organizing data, various tools for analysis, and several different analytic scenarios and techniques. New chapters focus on active monitoring and traffic manipulation, insider threat detection, data mining, regression and machine learning, and other topics. You’ll learn how to: Use sensors to collect network, service, host, and active domain data Work with the SiLK toolset, Python, and other tools and techniques for manipulating data you collect Detect unusual phenomena through exploratory data analysis (EDA), using visualization and mathematical techniques Analyze text data, traffic behavior, and communications mistakes Identify significant structures in your network with graph analysis Examine insider threat data and acquire threat intelligence Map your network and identify significant hosts within it Work with operations to develop defenses and analysis techniques

Python Forensics

Python Forensics
A Workbench for Inventing and Sharing Digital Forensic Technology

by Chet Hosmer

  • Publisher : Elsevier
  • Release : 2014-05-19
  • Pages : 352
  • ISBN : 0124186831
  • Language : En, Es, Fr & De
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Python Forensics provides many never-before-published proven forensic modules, libraries, and solutions that can be used right out of the box. In addition, detailed instruction and documentation provided with the code samples will allow even novice Python programmers to add their own unique twists or use the models presented to build new solutions. Rapid development of new cybercrime investigation tools is an essential ingredient in virtually every case and environment. Whether you are performing post-mortem investigation, executing live triage, extracting evidence from mobile devices or cloud services, or you are collecting and processing evidence from a network, Python forensic implementations can fill in the gaps. Drawing upon years of practical experience and using numerous examples and illustrative code samples, author Chet Hosmer discusses how to: Develop new forensic solutions independent of large vendor software release schedules Participate in an open-source workbench that facilitates direct involvement in the design and implementation of new methods that augment or replace existing tools Advance your career by creating new solutions along with the construction of cutting-edge automation solutions to solve old problems Provides hands-on tools, code samples, and detailed instruction and documentation that can be put to use immediately Discusses how to create a Python forensics workbench Covers effective forensic searching and indexing using Python Shows how to use Python to examine mobile device operating systems: iOS, Android, and Windows 8 Presents complete coverage of how to use Python scripts for network investigation

Foundations of Python Network Programming

Foundations of Python Network Programming
The comprehensive guide to building network applications with Python

by John Goerzen,Tim Bower,Brandon Rhodes

  • Publisher : Apress
  • Release : 2011-02-24
  • Pages : 368
  • ISBN : 1430230045
  • Language : En, Es, Fr & De
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This second edition of Foundations of Python Network Programming targets Python 2.5 through Python 2.7, the most popular production versions of the language. Python has made great strides since Apress released the first edition of this book back in the days of Python 2.3. The advances required new chapters to be written from the ground up, and others to be extensively revised. You will learn fundamentals like IP, TCP, DNS and SSL by using working Python programs; you will also be able to familiarize yourself with infrastructure components like memcached and message queues. You can also delve into network server designs, and compare threaded approaches with asynchronous event-based solutions. But the biggest change is this edition's expanded treatment of the web. The HTTP protocol is covered in extensive detail, with each feature accompanied by sample Python code. You can use your HTTP protocol expertise by studying an entire chapter on screen scraping and you can then test lxml and BeautifulSoup against a real-world web site. The chapter on web application programming now covers both the WSGI standard for component interoperability, as well as modern web frameworks like Django. Finally, all of the old favorites from the first edition are back: E-mail protocols like SMTP, POP, and IMAP get full treatment, as does XML-RPC. You can still learn how to code Python network programs using the Telnet and FTP protocols, but you are likely to appreciate the power of more modern alternatives like the paramiko SSH2 library. If you are a Python programmer who needs to learn the network, this is the book that you want by your side.

Python Ethical Hacking from Scratch

Python Ethical Hacking from Scratch
Think like an ethical hacker, avoid detection, and successfully develop, deploy, detect, and avoid malware

by Fahad Ali Sarwar

  • Publisher : Packt Publishing Ltd
  • Release : 2021-06-25
  • Pages : 214
  • ISBN : 1838825312
  • Language : En, Es, Fr & De
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Explore the world of practical ethical hacking by developing custom network scanning and remote access tools that will help you test the system security of your organization Key Features Get hands-on with ethical hacking and learn to think like a real-life hacker Build practical ethical hacking tools from scratch with the help of real-world examples Leverage Python 3 to develop malware and modify its complexities Book Description Penetration testing enables you to evaluate the security or strength of a computer system, network, or web application that an attacker can exploit. With this book, you'll understand why Python is one of the fastest-growing programming languages for penetration testing. You'll find out how to harness the power of Python and pentesting to enhance your system security. Developers working with Python will be able to put their knowledge and experience to work with this practical guide. Complete with step-by-step explanations of essential concepts and practical examples, this book takes a hands-on approach to help you build your own pentesting tools for testing the security level of systems and networks. You'll learn how to develop your own ethical hacking tools using Python and explore hacking techniques to exploit vulnerabilities in networks and systems. Finally, you'll be able to get remote access to target systems and networks using the tools you develop and modify as per your own requirements. By the end of this ethical hacking book, you'll have developed the skills needed for building cybersecurity tools and learned how to secure your systems by thinking like a hacker. What you will learn Understand the core concepts of ethical hacking Develop custom hacking tools from scratch to be used for ethical hacking purposes Discover ways to test the cybersecurity of an organization by bypassing protection schemes Develop attack vectors used in real cybersecurity tests Test the system security of an organization or subject by identifying and exploiting its weaknesses Gain and maintain remote access to target systems Find ways to stay undetected on target systems and local networks Who this book is for If you want to learn ethical hacking by developing your own tools instead of just using the prebuilt tools, this book is for you. A solid understanding of fundamental Python concepts is expected. Some complex Python concepts are explained in the book, but the goal is to teach ethical hacking, not Python.

Passive and Active Measurement

Passive and Active Measurement
19th International Conference, PAM 2018, Berlin, Germany, March 26–27, 2018, Proceedings

by Robert Beverly,Georgios Smaragdakis,Anja Feldmann

  • Publisher : Springer
  • Release : 2018-03-01
  • Pages : 282
  • ISBN : 3319764810
  • Language : En, Es, Fr & De
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This book constitutes the proceedings of the 19th International Conference on Passive and Active Measurement, PAM 2018, held in Berlin, Germany, in March 2018. The 20 full papers presented in this volume were carefully reviewed and selected from 50 submissions. The papers demonstrate the import and extent to which measurements pervade systems – from protocols to performance to security. They are organized in the following topical sections: models and inference; security and privacy; CDNs; DNS; certificates; interdomain routing; and analyzing protocols.

Critical Infrastructure Protection XIII

Critical Infrastructure Protection XIII
13th IFIP WG 11.10 International Conference, ICCIP 2019, Arlington, VA, USA, March 11–12, 2019, Revised Selected Papers

by Jason Staggs,Sujeet Shenoi

  • Publisher : Springer Nature
  • Release : 2019-11-18
  • Pages : 328
  • ISBN : 3030346471
  • Language : En, Es, Fr & De
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The information infrastructure – comprising computers, embedded devices, networks and software systems – is vital to operations in every sector: chemicals, commercial facilities, communications, critical manufacturing, dams, defense industrial base, emergency services, energy, financial services, food and agriculture, government facilities, healthcare and public health, information technology, nuclear reactors, materials and waste, transportation systems, and water and wastewater systems. Global business and industry, governments, indeed society itself, cannot function if major components of the critical information infrastructure are degraded, disabled or destroyed. Critical Infrastructure Protection XIII describes original research results and innovative applications in the interdisciplinary field of critical infrastructure protection. Also, it highlights the importance of weaving science, technology and policy in crafting sophisticated, yet practical, solutions that will help secure information, computer and network assets in the various critical infrastructure sectors. Areas of coverage include: Themes and Issues; Infrastructure Protection; Vehicle Infrastructure Security; Telecommunications Infrastructure Security; Cyber-Physical Systems Security; and Industrial Control Systems Security. This book is the thirteenth volume in the annual series produced by the International Federation for Information Processing (IFIP) Working Group 11.10 on Critical Infrastructure Protection, an international community of scientists, engineers, practitioners and policy makers dedicated to advancing research, development and implementation efforts focused on infrastructure protection. The book contains a selection of sixteen edited papers from the Thirteenth Annual IFIP WG 11.10 International Conference on Critical Infrastructure Protection, held at SRI International, Arlington, Virginia, USA in the spring of 2019. Critical Infrastructure Protection XIII is an important resource for researchers, faculty members and graduate students, as well as for policy makers, practitioners and other individuals with interests in homeland security.

Passive and Active Measurement

Passive and Active Measurement
18th International Conference, PAM 2017, Sydney, NSW, Australia, March 30-31, 2017, Proceedings

by Mohamed Ali Kaafar,Steve Uhlig,Johanna Amann

  • Publisher : Springer
  • Release : 2017-03-16
  • Pages : 284
  • ISBN : 3319543288
  • Language : En, Es, Fr & De
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This book constitutes the proceedings of the 18th International Conference on Passive and Active Measurement, PAM 2017, held in Sydney, Australia, in March 2017. The 20 full papers presented in this volume were carefully reviewed and selected from 87 submissions. They are organized in topical sections on IPv6, Web and applications, security, performance, latency, characterization and troubleshooting, and wireless.

Practical Machine Learning for Data Analysis Using Python

Practical Machine Learning for Data Analysis Using Python
A Book

by Abdulhamit Subasi

  • Publisher : Academic Press
  • Release : 2020-06-05
  • Pages : 534
  • ISBN : 0128213809
  • Language : En, Es, Fr & De
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Practical Machine Learning for Data Analysis Using Python is a problem solver’s guide for creating real-world intelligent systems. It provides a comprehensive approach with concepts, practices, hands-on examples, and sample code. The book teaches readers the vital skills required to understand and solve different problems with machine learning. It teaches machine learning techniques necessary to become a successful practitioner, through the presentation of real-world case studies in Python machine learning ecosystems. The book also focuses on building a foundation of machine learning knowledge to solve different real-world case studies across various fields, including biomedical signal analysis, healthcare, security, economics, and finance. Moreover, it covers a wide range of machine learning models, including regression, classification, and forecasting. The goal of the book is to help a broad range of readers, including IT professionals, analysts, developers, data scientists, engineers, and graduate students, to solve their own real-world problems. Offers a comprehensive overview of the application of machine learning tools in data analysis across a wide range of subject areas Teaches readers how to apply machine learning techniques to biomedical signals, financial data, and healthcare data Explores important classification and regression algorithms as well as other machine learning techniques Explains how to use Python to handle data extraction, manipulation, and exploration techniques, as well as how to visualize data spread across multiple dimensions and extract useful features

Passive and Active Measurement

Passive and Active Measurement
16th International Conference, PAM 2015, New York, NY, USA, March 19-20, 2015, Proceedings

by Jelena Mirkovic,Yong Liu

  • Publisher : Springer
  • Release : 2015-03-03
  • Pages : 374
  • ISBN : 3319155091
  • Language : En, Es, Fr & De
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This book constitutes the refereed proceedings of the 16th International Conference on Passive and Active Measurement, PAM 2015, held in New York, NY, USA, in March 2015. The 27 full papers presented were carefully reviewed and selected from 100 submissions. The papers have been organized in the following topical sections: DNS and Routing, Mobile and Cellular, IPv6, Internet-Wide, Web and Peer-to-Peer, Wireless and Embedded, and Software Defined Networking.

Building the Network of the Future

Building the Network of the Future
Getting Smarter, Faster, and More Flexible with a Software Centric Approach

by John Donovan,Krish Prabhu

  • Publisher : CRC Press
  • Release : 2017-06-26
  • Pages : 427
  • ISBN : 1351804693
  • Language : En, Es, Fr & De
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From the Foreword: "This book lays out much of what we’ve learned at AT&T about SDN and NFV. Some of the smartest network experts in the industry have drawn a map to help you navigate this journey. Their goal isn’t to predict the future but to help you design and build a network that will be ready for whatever that future holds. Because if there’s one thing the last decade has taught us, it’s that network demand will always exceed expectations. This book will help you get ready." —Randall Stephenson, Chairman, CEO, and President of AT&T "Software is changing the world, and networks too. In this in-depth book, AT&T's top networking experts discuss how they're moving software-defined networking from concept to practice, and why it's a business imperative to do this rapidly." —Urs Hölzle, SVP Cloud Infrastructure, Google "Telecom operators face a continuous challenge for more agility to serve their customers with a better customer experience and a lower cost. This book is a very inspiring and vivid testimony of the huge transformation this means, not only for the networks but for the entire companies, and how AT&T is leading it. It provides a lot of very deep insights about the technical challenges telecom engineers are facing today. Beyond AT&T, I’m sure this book will be extremely helpful to the whole industry." —Alain Maloberti, Group Chief Network Officer, Orange Labs Networks "This new book should be read by any organization faced with a future driven by a "shift to software." It is a holistic view of how AT&T has transformed its core infrastructure from hardware based to largely software based to lower costs and speed innovation. To do so, AT&T had to redefine their technology supply chain, retrain their workforce, and move toward open source user-driven innovation; all while managing one of the biggest networks in the world. It is an amazing feat that will put AT&T in a leading position for years to come." —Jim Zemlin, Executive Director, The Linux Foundation This book is based on the lessons learned from AT&T’s software transformation journey starting in 2012 when rampant traffic growth necessitated a change in network architecture and design. Using new technologies such as NFV, SDN, Cloud, and Big Data, AT&T’s engineers outlined and implemented a radical network transformation program that dramatically reduced capital and operating expenditures. This book describes the transformation in substantial detail. The subject matter is of great interest to telecom professionals worldwide, as well as academic researchers looking to apply the latest techniques in computer science to solving telecom’s big problems around scalability, resilience, and survivability.

OpenCV 3.x with Python By Example

OpenCV 3.x with Python By Example
Make the most of OpenCV and Python to build applications for object recognition and augmented reality, 2nd Edition

by Gabriel Garrido Calvo,Prateek Joshi

  • Publisher : Packt Publishing Ltd
  • Release : 2018-01-17
  • Pages : 268
  • ISBN : 1788396766
  • Language : En, Es, Fr & De
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Learn the techniques for object recognition, 3D reconstruction, stereo imaging, and other computer vision applications using examples on different functions of OpenCV. Key Features Learn how to apply complex visual effects to images with OpenCV 3.x and Python Extract features from an image and use them to develop advanced applications Build algorithms to help you understand image content and perform visual searches Get to grips with advanced techniques in OpenCV such as machine learning, artificial neural network, 3D reconstruction, and augmented reality Book Description Computer vision is found everywhere in modern technology. OpenCV for Python enables us to run computer vision algorithms in real time. With the advent of powerful machines, we have more processing power to work with. Using this technology, we can seamlessly integrate our computer vision applications into the cloud. Focusing on OpenCV 3.x and Python 3.6, this book will walk you through all the building blocks needed to build amazing computer vision applications with ease. We start off by manipulating images using simple filtering and geometric transformations. We then discuss affine and projective transformations and see how we can use them to apply cool advanced manipulations to your photos like resizing them while keeping the content intact or smoothly removing undesired elements. We will then cover techniques of object tracking, body part recognition, and object recognition using advanced techniques of machine learning such as artificial neural network. 3D reconstruction and augmented reality techniques are also included. The book covers popular OpenCV libraries with the help of examples. This book is a practical tutorial that covers various examples at different levels, teaching you about the different functions of OpenCV and their actual implementation. By the end of this book, you will have acquired the skills to use OpenCV and Python to develop real-world computer vision applications. What you will learn Detect shapes and edges from images and videos How to apply filters on images and videos Use different techniques to manipulate and improve images Extract and manipulate particular parts of images and videos Track objects or colors from videos Recognize specific object or faces from images and videos How to create Augmented Reality applications Apply artificial neural networks and machine learning to improve object recognition Who this book is for This book is intended for Python developers who are new to OpenCV and want to develop computer vision applications with OpenCV and Python. This book is also useful for generic software developers who want to deploy computer vision applications on the cloud. It would be helpful to have some familiarity with basic mathematical concepts such as vectors, matrices, and so on.

Learning Python with Raspberry Pi

Learning Python with Raspberry Pi
A Book

by Alex Bradbury,Russel Winder,Ben Everard

  • Publisher : John Wiley & Sons
  • Release : 2014-03-10
  • Pages : 286
  • ISBN : 1118717058
  • Language : En, Es, Fr & De
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Explains how to leverage the revolutionary Raspberry Pi computer in order to learn the versatile Python programming language. Original.

Constructing an Ethical Hacking Knowledge Base for Threat Awareness and Prevention

Constructing an Ethical Hacking Knowledge Base for Threat Awareness and Prevention
A Book

by Dhavale, Sunita Vikrant

  • Publisher : IGI Global
  • Release : 2018-12-14
  • Pages : 281
  • ISBN : 1522576290
  • Language : En, Es, Fr & De
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In recent decades there has been incredible growth in the use of various internet applications by individuals and organizations who store sensitive information online on different servers. This greater reliance of organizations and individuals on internet technologies and applications increases the threat space and poses several challenges for implementing and maintaining cybersecurity practices. Constructing an Ethical Hacking Knowledge Base for Threat Awareness and Prevention provides innovative insights into how an ethical hacking knowledge base can be used for testing and improving the network and system security posture of an organization. It is critical for each individual and institute to learn hacking tools and techniques that are used by dangerous hackers in tandem with forming a team of ethical hacking professionals to test their systems effectively. Highlighting topics including cyber operations, server security, and network statistics, this publication is designed for technical experts, students, academicians, government officials, and industry professionals.

Computer Intrusion Detection and Network Monitoring

Computer Intrusion Detection and Network Monitoring
A Statistical Viewpoint

by David J. Marchette

  • Publisher : Springer Science & Business Media
  • Release : 2013-04-17
  • Pages : 333
  • ISBN : 1475734581
  • Language : En, Es, Fr & De
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This book covers the basic statistical and analytical techniques of computer intrusion detection. It is the first to present a data-centered approach to these problems. It begins with a description of the basics of TCP/IP, followed by chapters dealing with network traffic analysis, network monitoring for intrusion detection, host based intrusion detection, and computer viruses and other malicious code.

Passive and Active Measurement

Passive and Active Measurement
22nd International Conference, PAM 2021, Virtual Event, March 29 – April 1, 2021, Proceedings

by Oliver Hohlfeld,Andra Lutu,Dave Levin

  • Publisher : Springer Nature
  • Release : 2021-03-29
  • Pages : 582
  • ISBN : 3030725820
  • Language : En, Es, Fr & De
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This book constitutes the proceedings of the 22nd Conference on Passive and Active Measurement, PAM 2021, which was planned to be held in Cottbus, Germany, in March 2021. Due to the Corona pandemic, the conference was organized as a virtual meeting. The 33 full papers presented in this volume were carefully reviewed and selected from 75 submissions. They were organized in topical sections named: COVID-19; web security; video streaming; TLS; staying connected; DoS; performance; network security; DNS; capacity; and exposing hidden behaviors. Due to the Corona pandemic, PAM 2021 was held as a virtual conference.

MicroPython for the Internet of Things

MicroPython for the Internet of Things
A Beginner’s Guide to Programming with Python on Microcontrollers

by Charles Bell

  • Publisher : Apress
  • Release : 2017-11-24
  • Pages : 445
  • ISBN : 1484231236
  • Language : En, Es, Fr & De
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Quickly learn to program for microcontrollers and IoT devices without a lot of study and expense. MicroPython and controllers that support it eliminate the need for programming in a C-like language, making the creation of IoT applications and devices easier and more accessible than ever. MicroPython for the Internet of Things is ideal for readers new to electronics and the world of IoT. Specific examples are provided covering a range of supported devices, sensors, and MicroPython boards such as Pycom’s WiPy modules and MicroPython’s pyboard. Never has programming for microcontrollers been easier. The book takes a practical and hands-on approach without a lot of detours into the depths of theory. The book: Shows a faster and easier way to program microcontrollers and IoT devices Teaches MicroPython, a variant of one of the most widely used scripting languages Is friendly and accessible to those new to electronics, with fun example projects What You'll Learn Program in MicroPython Understand sensors and basic electronics Develop your own IoT projects Build applications for popular boards such as WiPy and pyboard Load MicroPython on the ESP8266 and similar boards Interface with hardware breakout boards Connect hardware to software through MicroPython Explore the easy-to-use Adafruit IO connecting your microcontroller to the cloud Who This Book Is For Anyone interested in building IoT solutions without the heavy burden of programming in C++ or C. The book also appeals to those wanting an easier way to work with hardware than is provided by the Arduino and the Raspberry Pi platforms.