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A Machine-Learning Approach to Phishing Detection and Defense

A Machine-Learning Approach to Phishing Detection and Defense
A Book

by I. S. Amiri,O. A. Akanbi,Elahe Fazeldehkordi

  • Publisher : Syngress Publishing
  • Release : 2014-12-08
  • Pages : 100
  • ISBN : 9780128029275
  • Language : En, Es, Fr & De
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Phishing is one of the most widely-perpetrated forms of cyber attack, used to gather sensitive information such as credit card numbers, bank account numbers, and user logins and passwords, as well as other information entered via a web site. The authors of A Machine-Learning Approach to Phishing Detetion and Defense have conducted research to demonstrate how a machine learning algorithm can be used as an effective and efficient tool in detecting phishing websites and designating them as information security threats. This methodology can prove useful to a wide variety of businesses and organizations who are seeking solutions to this long-standing threat. A Machine-Learning Approach to Phishing Detetion and Defense also provides information security researchers with a starting point for leveraging the machine algorithm approach as a solution to other information security threats. Discover novel research into the uses of machine-learning principles and algorithms to detect and prevent phishing attacks Help your business or organization avoid costly damage from phishing sources Gain insight into machine-learning strategies for facing a variety of information security threats

A Machine-Learning Approach to Phishing Detection and Defense

A Machine-Learning Approach to Phishing Detection and Defense
A Book

by Iraj Sadegh Amiri,O.A. Akanbi,E. Fazeldehkordi

  • Publisher : Syngress
  • Release : 2014-12-05
  • Pages : 100
  • ISBN : 0128029463
  • Language : En, Es, Fr & De
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Phishing is one of the most widely-perpetrated forms of cyber attack, used to gather sensitive information such as credit card numbers, bank account numbers, and user logins and passwords, as well as other information entered via a web site. The authors of A Machine-Learning Approach to Phishing Detetion and Defense have conducted research to demonstrate how a machine learning algorithm can be used as an effective and efficient tool in detecting phishing websites and designating them as information security threats. This methodology can prove useful to a wide variety of businesses and organizations who are seeking solutions to this long-standing threat. A Machine-Learning Approach to Phishing Detetion and Defense also provides information security researchers with a starting point for leveraging the machine algorithm approach as a solution to other information security threats. Discover novel research into the uses of machine-learning principles and algorithms to detect and prevent phishing attacks Help your business or organization avoid costly damage from phishing sources Gain insight into machine-learning strategies for facing a variety of information security threats

Machine Learning in Image Analysis and Pattern Recognition

Machine Learning in Image Analysis and Pattern Recognition
A Book

by Munish Kumar , R. K. Sharma,Ishwar Sethi

  • Publisher : MDPI
  • Release : 2021-09-08
  • Pages : 112
  • ISBN : 3036517146
  • Language : En, Es, Fr & De
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This book is to chart the progress in applying machine learning, including deep learning, to a broad range of image analysis and pattern recognition problems and applications. In this book, we have assembled original research articles making unique contributions to the theory, methodology and applications of machine learning in image analysis and pattern recognition.

Artificial Cognitive Architecture with Self-Learning and Self-Optimization Capabilities

Artificial Cognitive Architecture with Self-Learning and Self-Optimization Capabilities
Case Studies in Micromachining Processes

by Gerardo Beruvides

  • Publisher : Springer
  • Release : 2018-12-14
  • Pages : 195
  • ISBN : 3030039498
  • Language : En, Es, Fr & De
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This book introduces three key issues: (i) development of a gradient-free method to enable multi-objective self-optimization; (ii) development of a reinforcement learning strategy to carry out self-learning and finally, (iii) experimental evaluation and validation in two micromachining processes (i.e., micro-milling and micro-drilling). The computational architecture (modular, network and reconfigurable for real-time monitoring and control) takes into account the analysis of different types of sensors, processing strategies and methodologies for extracting behavior patterns from representative process’ signals. The reconfiguration capability and portability of this architecture are supported by two major levels: the cognitive level (core) and the executive level (direct data exchange with the process). At the same time, the architecture includes different operating modes that interact with the process to be monitored and/or controlled. The cognitive level includes three fundamental modes such as modeling, optimization and learning, which are necessary for decision-making (in the form of control signals) and for the real-time experimental characterization of complex processes. In the specific case of the micromachining processes, a series of models based on linear regression, nonlinear regression and artificial intelligence techniques were obtained. On the other hand, the executive level has a constant interaction with the process to be monitored and/or controlled. This level receives the configuration and parameterization from the cognitive level to perform the desired monitoring and control tasks.

Computational Collective Intelligence

Computational Collective Intelligence
7th International Conference, ICCCI 2015, Madrid, Spain, September 21-23, 2015, Proceedings, Part II

by Manuel Núñez,Ngoc Thanh Nguyen,David Camacho,Bogdan Trawiński

  • Publisher : Springer
  • Release : 2015-09-09
  • Pages : 661
  • ISBN : 3319243063
  • Language : En, Es, Fr & De
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This two-volume set (LNAI 9329 and LNAI 9330) constitutes the refereed proceedings of the 7th International Conference on Collective Intelligence, ICCCI 2014, held in Madrid, Spain, in September 2015. The 110 full papers presented were carefully reviewed and selected from 186 submissions. They are organized in topical sections such as multi-agent systems; social networks and NLP; sentiment analysis; computational intelligence and games; ontologies and information extraction; formal methods and simulation; neural networks, SMT and MIS; collective intelligence in Web systems – Web systems analysis; computational swarm intelligence; cooperative strategies for decision making and optimization; advanced networking and security technologies; IT in biomedicine; collective computational intelligence in educational context; science intelligence and data analysis; computational intelligence in financial markets; ensemble learning; big data mining and searching.

Integrated Micro-Ring Photonics

Integrated Micro-Ring Photonics
Principles and Applications as Slow Light Devices, Soliton Generation and Optical Transmission

by Iraj Sadegh Amiri,Abdolkarim Afroozeh,Harith Ahmad

  • Publisher : CRC Press
  • Release : 2016-12-08
  • Pages : 164
  • ISBN : 1317404831
  • Language : En, Es, Fr & De
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Micro-ring resonators (MRRs) are employed to generate signals used for optical communication applications, where they can be integrated in a single system. These structures are ideal candidates for very large-scale integrated (VLSI) photonic circuits, since they provide a wide range of optical signal processing functions while being ultra-compact. Soliton pulses have sufficient stability for preservation of their shape and velocity. Technological progress in fields such as tunable narrow band laser systems, multiple transmission, and MRR systems constitute a base for the development of new transmission techniques. Controlling the speed of a light signal has many potential applications in fiber optic communication and quantum computing. The slow light effect has many important applications and is a key technology for all optical networks such as optical signal processing. Generation of slow light in MRRs is based on the nonlinear optical fibers. Slow light can be generated within the micro-ring devices, which will be able to be used with the mobile telephone. Therefore, the message can be kept encrypted via quantum cryptography. Thus perfect security in a mobile telephone network is plausible. This research study involves both numerical experiments and theoretical work based on MRRs for secured communication.

Developments and Advances in Defense and Security

Developments and Advances in Defense and Security
Proceedings of MICRADS 2019

by Álvaro Rocha,Robson Pacheco Pereira

  • Publisher : Springer
  • Release : 2019-06-13
  • Pages : 534
  • ISBN : 9811391556
  • Language : En, Es, Fr & De
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This book gathers the proceedings of the Multidisciplinary International Conference of Research Applied to Defense and Security (MICRADS), held at the Military Engineering Institute, Rio de Janeiro, Brazil, from 8 to 10th May 2019. It covers a variety of topics in systems, communication and defense; strategy and political-administrative vision in defense; and engineering and technologies applied to defense. Given its scope, it offers a valuable resource for practitioners, researchers, and students alike.

Intelligent Systems and Applications

Intelligent Systems and Applications
Proceedings of the 2020 Intelligent Systems Conference (IntelliSys).. Volume 2

by Kohei Arai,Supriya Kapoor,Rahul Bhatia

  • Publisher : Springer Nature
  • Release : 2020
  • Pages : 794
  • ISBN : 3030551873
  • Language : En, Es, Fr & De
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The book Intelligent Systems and Applications - Proceedings of the 2020 Intelligent Systems Conference is a remarkable collection of chapters covering a wider range of topics in areas of intelligent systems and artificial intelligence and their applications to the real world. The Conference attracted a total of 545 submissions from many academic pioneering researchers, scientists, industrial engineers, students from all around the world. These submissions underwent a double-blind peer review process. Of those 545 submissions, 177 submissions have been selected to be included in these proceedings. As intelligent systems continue to replace and sometimes outperform human intelligence in decision-making processes, they have enabled a larger number of problems to be tackled more effectively.This branching out of computational intelligence in several directions and use of intelligent systems in everyday applications have created the need for such an international conference which serves as a venue to report on up-to-the-minute innovations and developments. This book collects both theory and application based chapters on all aspects of artificial intelligence, from classical to intelligent scope. We hope that readers find the volume interesting and valuable; it provides the state of the art intelligent methods and techniques for solving real world problems along with a vision of the future research.

Data and Applications Security and Privacy XXXIII

Data and Applications Security and Privacy XXXIII
33rd Annual IFIP WG 11.3 Conference, DBSec 2019, Charleston, SC, USA, July 15–17, 2019, Proceedings

by Simon N. Foley

  • Publisher : Springer
  • Release : 2019-07-04
  • Pages : 419
  • ISBN : 3030224791
  • Language : En, Es, Fr & De
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This book constitutes the refereed proceedings of the 33rd Annual IFIP WG 11.3 Conference on Data and Applications Security and Privacy, DBSec 2019, held in Charleston, SC, USA, in July 2018. The 21 full papers presented were carefully reviewed and selected from 52 submissions. The papers present high-quality original research from academia, industry, and government on theoretical and practical aspects of information security. They are organized in topical sections on attacks, mobile and Web security, privacy, security protocol practices, distributed systems, source code security, and malware.

Mobile Malware Attacks and Defense

Mobile Malware Attacks and Defense
A Book

by Ken Dunham

  • Publisher : Syngress
  • Release : 2008-11-12
  • Pages : 440
  • ISBN : 9780080949192
  • Language : En, Es, Fr & De
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Malware has gone mobile, and the security landscape is changing quickly with emerging attacks on cell phones, PDAs, and other mobile devices. This first book on the growing threat covers a wide range of malware targeting operating systems like Symbian and new devices like the iPhone. Examining code in past, current, and future risks, protect your banking, auctioning, and other activities performed on mobile devices. * Visual Payloads View attacks as visible to the end user, including notation of variants. * Timeline of Mobile Hoaxes and Threats Understand the history of major attacks and horizon for emerging threates. * Overview of Mobile Malware Families Identify and understand groups of mobile malicious code and their variations. * Taxonomy of Mobile Malware Bring order to known samples based on infection, distribution, and payload strategies. * Phishing, SMishing, and Vishing Attacks Detect and mitigate phone-based phishing (vishing) and SMS phishing (SMishing) techniques. * Operating System and Device Vulnerabilities Analyze unique OS security issues and examine offensive mobile device threats. * Analyze Mobile Malware Design a sandbox for dynamic software analysis and use MobileSandbox to analyze mobile malware. * Forensic Analysis of Mobile Malware Conduct forensic analysis of mobile devices and learn key differences in mobile forensics. * Debugging and Disassembling Mobile Malware Use IDA and other tools to reverse-engineer samples of malicious code for analysis. * Mobile Malware Mitigation Measures Qualify risk, understand threats to mobile assets, defend against attacks, and remediate incidents. * Understand the History and Threat Landscape of Rapidly Emerging Mobile Attacks * Analyze Mobile Device/Platform Vulnerabilities and Exploits * Mitigate Current and Future Mobile Malware Threats

Proceeding of International Conference on Computational Science and Applications

Proceeding of International Conference on Computational Science and Applications
ICCSA 2019

by Subhash Bhalla,Peter Kwan,Mangesh Bedekar,Rashmi Phalnikar,Sumedha Sirsikar

  • Publisher : Springer Nature
  • Release : 2020-01-04
  • Pages : 460
  • ISBN : 9811507902
  • Language : En, Es, Fr & De
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The book consists of high-quality papers presented at the International Conference on Computational Science and Applications (ICCSA 2019), held at Maharashtra Institute of Technology World Peace University, Pune, India, from 7 to 9 August 2019. It covers the latest innovations and developments in information and communication technology, discussing topics such as soft computing and intelligent systems, web of sensor networks, drone operating systems, web of sensor networks, wearable smart sensors, automated guided vehicles and many more.

Machine Learning for Computer and Cyber Security

Machine Learning for Computer and Cyber Security
Principle, Algorithms, and Practices

by Brij B. Gupta,Quan Z. Sheng

  • Publisher : CRC Press
  • Release : 2019-02-05
  • Pages : 352
  • ISBN : 0429995717
  • Language : En, Es, Fr & De
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While Computer Security is a broader term which incorporates technologies, protocols, standards and policies to ensure the security of the computing systems including the computer hardware, software and the information stored in it, Cyber Security is a specific, growing field to protect computer networks (offline and online) from unauthorized access, botnets, phishing scams, etc. Machine learning is a branch of Computer Science which enables computing machines to adopt new behaviors on the basis of observable and verifiable data and information. It can be applied to ensure the security of the computers and the information by detecting anomalies using data mining and other such techniques. This book will be an invaluable resource to understand the importance of machine learning and data mining in establishing computer and cyber security. It emphasizes important security aspects associated with computer and cyber security along with the analysis of machine learning and data mining based solutions. The book also highlights the future research domains in which these solutions can be applied. Furthermore, it caters to the needs of IT professionals, researchers, faculty members, scientists, graduate students, research scholars and software developers who seek to carry out research and develop combating solutions in the area of cyber security using machine learning based approaches. It is an extensive source of information for the readers belonging to the field of Computer Science and Engineering, and Cyber Security professionals. Key Features: This book contains examples and illustrations to demonstrate the principles, algorithms, challenges and applications of machine learning and data mining for computer and cyber security. It showcases important security aspects and current trends in the field. It provides an insight of the future research directions in the field. Contents of this book help to prepare the students for exercising better defense in terms of understanding the motivation of the attackers and how to deal with and mitigate the situation using machine learning based approaches in better manner.

Cybersecurity Data Science

Cybersecurity Data Science
Best Practices in an Emerging Profession

by Scott Mongeau,Andrzej Hajdasinski

  • Publisher : Springer Nature
  • Release : 2021-10-01
  • Pages : 388
  • ISBN : 3030748960
  • Language : En, Es, Fr & De
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This book encompasses a systematic exploration of Cybersecurity Data Science (CSDS) as an emerging profession, focusing on current versus idealized practice. This book also analyzes challenges facing the emerging CSDS profession, diagnoses key gaps, and prescribes treatments to facilitate advancement. Grounded in the management of information systems (MIS) discipline, insights derive from literature analysis and interviews with 50 global CSDS practitioners. CSDS as a diagnostic process grounded in the scientific method is emphasized throughout Cybersecurity Data Science (CSDS) is a rapidly evolving discipline which applies data science methods to cybersecurity challenges. CSDS reflects the rising interest in applying data-focused statistical, analytical, and machine learning-driven methods to address growing security gaps. This book offers a systematic assessment of the developing domain. Advocacy is provided to strengthen professional rigor and best practices in the emerging CSDS profession. This book will be of interest to a range of professionals associated with cybersecurity and data science, spanning practitioner, commercial, public sector, and academic domains. Best practices framed will be of interest to CSDS practitioners, security professionals, risk management stewards, and institutional stakeholders. Organizational and industry perspectives will be of interest to cybersecurity analysts, managers, planners, strategists, and regulators. Research professionals and academics are presented with a systematic analysis of the CSDS field, including an overview of the state of the art, a structured evaluation of key challenges, recommended best practices, and an extensive bibliography.

Machine Learning Approaches in Cyber Security Analytics

Machine Learning Approaches in Cyber Security Analytics
A Book

by Tony Thomas,Athira P. Vijayaraghavan,Sabu Emmanuel

  • Publisher : Springer Nature
  • Release : 2019-12-16
  • Pages : 209
  • ISBN : 9811517061
  • Language : En, Es, Fr & De
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This book introduces various machine learning methods for cyber security analytics. With an overwhelming amount of data being generated and transferred over various networks, monitoring everything that is exchanged and identifying potential cyber threats and attacks poses a serious challenge for cyber experts. Further, as cyber attacks become more frequent and sophisticated, there is a requirement for machines to predict, detect, and identify them more rapidly. Machine learning offers various tools and techniques to automate and quickly predict, detect, and identify cyber attacks.

Research Anthology on Securing Mobile Technologies and Applications

Research Anthology on Securing Mobile Technologies and Applications
A Book

by Management Association, Information Resources

  • Publisher : IGI Global
  • Release : 2021-02-05
  • Pages : 837
  • ISBN : 1799886018
  • Language : En, Es, Fr & De
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Mobile technologies have become a staple in society for their accessibility and diverse range of applications that are continually growing and advancing. Users are increasingly using these devices for activities beyond simple communication including gaming and e-commerce and to access confidential information including banking accounts and medical records. While mobile devices are being so widely used and accepted in daily life, and subsequently housing more and more personal data, it is evident that the security of these devices is paramount. As mobile applications now create easy access to personal information, they can incorporate location tracking services, and data collection can happen discreetly behind the scenes. Hence, there needs to be more security and privacy measures enacted to ensure that mobile technologies can be used safely. Advancements in trust and privacy, defensive strategies, and steps for securing the device are important foci as mobile technologies are highly popular and rapidly developing. The Research Anthology on Securing Mobile Technologies and Applications discusses the strategies, methods, and technologies being employed for security amongst mobile devices and applications. This comprehensive book explores the security support that needs to be required on mobile devices to avoid application damage, hacking, security breaches and attacks, or unauthorized accesses to personal data. The chapters cover the latest technologies that are being used such as cryptography, verification systems, security policies and contracts, and general network security procedures along with a look into cybercrime and forensics. This book is essential for software engineers, app developers, computer scientists, security and IT professionals, practitioners, stakeholders, researchers, academicians, and students interested in how mobile technologies and applications are implementing security protocols and tactics amongst devices.

Encyclopedia of Organizational Knowledge, Administration, and Technology

Encyclopedia of Organizational Knowledge, Administration, and Technology
A Book

by Khosrow-Pour D.B.A., Mehdi

  • Publisher : IGI Global
  • Release : 2020-09-29
  • Pages : 2734
  • ISBN : 1799834743
  • Language : En, Es, Fr & De
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For any organization to be successful, it must operate in such a manner that knowledge and information, human resources, and technology are continually taken into consideration and managed effectively. Business concepts are always present regardless of the field or industry – in education, government, healthcare, not-for-profit, engineering, hospitality/tourism, among others. Maintaining organizational awareness and a strategic frame of mind is critical to meeting goals, gaining competitive advantage, and ultimately ensuring sustainability. The Encyclopedia of Organizational Knowledge, Administration, and Technology is an inaugural five-volume publication that offers 193 completely new and previously unpublished articles authored by leading experts on the latest concepts, issues, challenges, innovations, and opportunities covering all aspects of modern organizations. Moreover, it is comprised of content that highlights major breakthroughs, discoveries, and authoritative research results as they pertain to all aspects of organizational growth and development including methodologies that can help companies thrive and analytical tools that assess an organization’s internal health and performance. Insights are offered in key topics such as organizational structure, strategic leadership, information technology management, and business analytics, among others. The knowledge compiled in this publication is designed for entrepreneurs, managers, executives, investors, economic analysts, computer engineers, software programmers, human resource departments, and other industry professionals seeking to understand the latest tools to emerge from this field and who are looking to incorporate them in their practice. Additionally, academicians, researchers, and students in fields that include but are not limited to business, management science, organizational development, entrepreneurship, sociology, corporate psychology, computer science, and information technology will benefit from the research compiled within this publication.

Frontier Computing

Frontier Computing
Theory, Technologies and Applications (FC 2019)

by Jason C. Hung,Neil Y. Yen,Jia-Wei Chang

  • Publisher : Springer Nature
  • Release : 2020-02-25
  • Pages : 1831
  • ISBN : 9811532508
  • Language : En, Es, Fr & De
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This book gathers the proceedings of the 9th International Conference on Frontier Computing, held in Kyushu, Japan on July 9–12, 2019, and provides comprehensive coverage of the latest advances and trends in information technology, science and engineering. It addresses a number of broad themes, including communication networks, business intelligence and knowledge management, web intelligence, and related fields that inspire the development of information technology. The respective contributions cover a wide range of topics: database and data mining, networking and communications, web and internet of things, embedded systems, soft computing, social network analysis, security and privacy, optical communication, and ubiquitous/pervasive computing. Many of the papers outline promising future research directions, and the book will benefit students, researchers and professionals alike. Further, it offers a useful reference guide for newcomers to the field.

Handbook of Computer Networks and Cyber Security

Handbook of Computer Networks and Cyber Security
Principles and Paradigms

by Brij B. Gupta,Gregorio Martinez Perez,Dharma P. Agrawal,Deepak Gupta

  • Publisher : Springer Nature
  • Release : 2019-12-31
  • Pages : 959
  • ISBN : 3030222772
  • Language : En, Es, Fr & De
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This handbook introduces the basic principles and fundamentals of cyber security towards establishing an understanding of how to protect computers from hackers and adversaries. The highly informative subject matter of this handbook, includes various concepts, models, and terminologies along with examples and illustrations to demonstrate substantial technical details of the field. It motivates the readers to exercise better protection and defense mechanisms to deal with attackers and mitigate the situation. This handbook also outlines some of the exciting areas of future research where the existing approaches can be implemented. Exponential increase in the use of computers as a means of storing and retrieving security-intensive information, requires placement of adequate security measures to safeguard the entire computing and communication scenario. With the advent of Internet and its underlying technologies, information security aspects are becoming a prime concern towards protecting the networks and the cyber ecosystem from variety of threats, which is illustrated in this handbook. This handbook primarily targets professionals in security, privacy and trust to use and improve the reliability of businesses in a distributed manner, as well as computer scientists and software developers, who are seeking to carry out research and develop software in information and cyber security. Researchers and advanced-level students in computer science will also benefit from this reference.

Game Theory and Machine Learning for Cyber Security

Game Theory and Machine Learning for Cyber Security
A Book

by Charles A. Kamhoua,Christopher D. Kiekintveld,Fei Fang,Quanyan Zhu

  • Publisher : John Wiley & Sons
  • Release : 2021-09-15
  • Pages : 544
  • ISBN : 1119723922
  • Language : En, Es, Fr & De
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Move beyond the foundations of machine learning and game theory in cyber security to the latest research in this cutting-edge field In Game Theory and Machine Learning for Cyber Security, a team of expert security researchers delivers a collection of central research contributions from both machine learning and game theory applicable to cybersecurity. The distinguished editors have included resources that address open research questions in game theory and machine learning applied to cyber security systems and examine the strengths and limitations of current game theoretic models for cyber security. Readers will explore the vulnerabilities of traditional machine learning algorithms and how they can be mitigated in an adversarial machine learning approach. The book offers a comprehensive suite of solutions to a broad range of technical issues in applying game theory and machine learning to solve cyber security challenges. Beginning with an introduction to foundational concepts in game theory, machine learning, cyber security, and cyber deception, the editors provide readers with resources that discuss the latest in hypergames, behavioral game theory, adversarial machine learning, generative adversarial networks, and multi-agent reinforcement learning. Readers will also enjoy: A thorough introduction to game theory for cyber deception, including scalable algorithms for identifying stealthy attackers in a game theoretic framework, honeypot allocation over attack graphs, and behavioral games for cyber deception An exploration of game theory for cyber security, including actionable game-theoretic adversarial intervention detection against persistent and advanced threats Practical discussions of adversarial machine learning for cyber security, including adversarial machine learning in 5G security and machine learning-driven fault injection in cyber-physical systems In-depth examinations of generative models for cyber security Perfect for researchers, students, and experts in the fields of computer science and engineering, Game Theory and Machine Learning for Cyber Security is also an indispensable resource for industry professionals, military personnel, researchers, faculty, and students with an interest in cyber security.

Communications, Signal Processing, and Systems

Communications, Signal Processing, and Systems
Proceedings of the 8th International Conference on Communications, Signal Processing, and Systems

by Qilian Liang,Wei Wang,Xin Liu,Zhenyu Na,Min Jia,Baoju Zhang

  • Publisher : Springer Nature
  • Release : 2020-04-04
  • Pages : 2688
  • ISBN : 9811394091
  • Language : En, Es, Fr & De
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This book brings together papers from the 2019 International Conference on Communications, Signal Processing, and Systems, which was held in Urumqi, China, on July 20–22, 2019. Presenting the latest developments and discussing the interactions and links between these multidisciplinary fields, the book spans topics ranging from communications to signal processing and systems. It is chiefly intended for undergraduate and graduate students in electrical engineering, computer science and mathematics, researchers and engineers from academia and industry, as well as government employees.