Introduction to Artificial Intelligence for Security Professionals

Introduction to Artificial Intelligence for Security Professionals
Author: The Cylance Data Science Team Staff
Publsiher: Unknown
Total Pages: 176
Release: 2017-07-15
ISBN: 9780998016900
Category: Electronic Book
Language: EN, FR, DE, ES & NL

Introduction to Artificial Intelligence for Security Professionals Book Excerpt:

Introducing information security professionals to the world of artificial intelligence and machine learning through explanation and examples.

EXPLAINABLE ARTIFICIAL INTELLIGENCE FOR CYBER SECURITY

EXPLAINABLE ARTIFICIAL INTELLIGENCE FOR CYBER SECURITY
Author: Mohiuddin Ahmed
Publsiher: Springer Nature
Total Pages: 283
Release: 2022
ISBN: 3030966305
Category: Electronic books
Language: EN, FR, DE, ES & NL

EXPLAINABLE ARTIFICIAL INTELLIGENCE FOR CYBER SECURITY Book Excerpt:

Machine Learning Techniques and Analytics for Cloud Security

Machine Learning Techniques and Analytics for Cloud Security
Author: Rajdeep Chakraborty,Anupam Ghosh,Jyotsna Kumar Mandal
Publsiher: John Wiley & Sons
Total Pages: 470
Release: 2021-12-14
ISBN: 1119762251
Category: Computers
Language: EN, FR, DE, ES & NL

Machine Learning Techniques and Analytics for Cloud Security Book Excerpt:

The aim of this book is to integrate machine learning approaches to meet various analytical issues in cloud security. Cloud-security with ML has long-standing challenges that require methodological and theoretical handling. The conventional cryptography approach is less applied in resource constrained devices. To solve these issues, machine learning approach may be effectively used in providing security to the vast growing cloud environment. Machine learning algorithms can also be used to meet various cloud security issues, like effective intrusion detection system, zero knowledge authentication system, measures for passive attacks, protocols design, privacy system design and application and many more. This book also contains case study / projects to implement various security features using machine learning algorithms and analytics. This book will provide a learning paradigm in field of Artificial Intelligence and deep learning community with related datasets to help dive deeper into Machine Learning applications in cloud security.

Artificial Intelligence Safety and Security

Artificial Intelligence Safety and Security
Author: Roman V. Yampolskiy
Publsiher: CRC Press
Total Pages: 444
Release: 2018-07-27
ISBN: 1351251368
Category: Computers
Language: EN, FR, DE, ES & NL

Artificial Intelligence Safety and Security Book Excerpt:

The history of robotics and artificial intelligence in many ways is also the history of humanity’s attempts to control such technologies. From the Golem of Prague to the military robots of modernity, the debate continues as to what degree of independence such entities should have and how to make sure that they do not turn on us, its inventors. Numerous recent advancements in all aspects of research, development and deployment of intelligent systems are well publicized but safety and security issues related to AI are rarely addressed. This book is proposed to mitigate this fundamental problem. It is comprised of chapters from leading AI Safety researchers addressing different aspects of the AI control problem as it relates to the development of safe and secure artificial intelligence. The book is the first edited volume dedicated to addressing challenges of constructing safe and secure advanced machine intelligence. The chapters vary in length and technical content from broad interest opinion essays to highly formalized algorithmic approaches to specific problems. All chapters are self-contained and could be read in any order or skipped without a loss of comprehension.

Cyber Security Artificial Intelligence Data Protection the Law

Cyber Security  Artificial Intelligence  Data Protection   the Law
Author: Robert Walters,Marko Novak
Publsiher: Springer Nature
Total Pages: 458
Release: 2021-08-24
ISBN: 9811616655
Category: Law
Language: EN, FR, DE, ES & NL

Cyber Security Artificial Intelligence Data Protection the Law Book Excerpt:

This book provides a comparison and practical guide of the data protection laws of Canada, China (Hong Kong, Macau, Taiwan), Laos, Philippines, South Korea, United States and Vietnam. The book builds on the first book Data Protection Law. A Comparative Analysis of Asia-Pacific and European Approaches, Robert Walters, Leon Trakman, Bruno Zeller. As the world comes to terms with Artificial Intelligence (AI), which now pervades the daily lives of everyone. For instance, our smart or Iphone, and smart home technology (robots, televisions, fridges and toys) access our personal data at an unprecedented level. Therefore, the security of that data is increasingly more vulnerable and can be compromised. This book examines the interface of cyber security, AI and data protection. It highlights and recommends that regulators and governments need to undertake wider research and law reform to ensure the most vulnerable in the community have their personal data protected adequately, while balancing the future benefits of the digital economy.

Artificial Intelligence Ethical Social and Security Impacts for the Present and the Future

Artificial Intelligence   Ethical  Social and Security Impacts for the Present and the Future
Author: Julie Mehan
Publsiher: IT Governance Ltd
Total Pages: 322
Release: 2022-06-30
ISBN: 1787783715
Category: Computers
Language: EN, FR, DE, ES & NL

Artificial Intelligence Ethical Social and Security Impacts for the Present and the Future Book Excerpt:

This book will provide a global perspective on AI and the challenges it represents, and will focus on the digital ethics surrounding AI technology.

Security and Organization within IoT and Smart Cities

Security and Organization within IoT and Smart Cities
Author: Kayhan Zrar Ghafoor,Kevin Curran,Linghe Kong,Ali Safa Sadiq
Publsiher: CRC Press
Total Pages: 296
Release: 2020-12-17
ISBN: 1000293173
Category: Computers
Language: EN, FR, DE, ES & NL

Security and Organization within IoT and Smart Cities Book Excerpt:

This book aims to provide the latest research developments and results in the domain of AI techniques for smart cyber ecosystems. It presents a holistic insight into AI-enabled theoretic approaches and methodology in IoT networking, security analytics using AI tools, and network automation, which ultimately enable intelligent cyber space. This book will be a valuable resource for students, researchers, engineers, policy makers working in various areas related to cybersecurity and privacy for Smart cities. This book includes chapters titled “An Overview of the Artificial Intelligence Evolution and its Fundamental Concepts, and their relationship with IoT Security”, “Smart City: Evolution and fundamental concepts”, “Advances in AI-Based Security for Internet of Things in Wireless Virtualization Environment”, “A conceptual model for optimal resource sharing of networked microgrids focusing uncertainty – paving path to eco-friendly smart cities”, “A Novel Framework for Cyber Secure Smart City", “Contemplate Security Challenges & Threats for Smart Cities”, “Self-Monitoring Obfuscated IoT Network”, “Introduction to Side Channel Attacks and Investigation of Power Analysis & Fault Injection Attack Techniques”, “Collaborative Digital Forensic Investigations Model for Law Enforcement: Oman as a Case Study”, “Internet of Things Security and Privacy in Smart Cities: Status and Challenges”, “5G Security and the Internet of Things”, “The Problem of Deepfake Videos and How to Counteract Them in Smart Cities”, “The Rise of Ransomware aided by Vulnerable IoT devices”, and “Security Issues in Self-Driving Cars within Smart Cities”, “PhishFree: A Honeybee Inspired System for Smart City Free of Phishing Attacks”, “Trust Aware Crowd Associated Network-based Approach for Optimal Waste Management in Smart Cities” This book provides state-of-the-art of research results and discusses current issues, challenges, solutions and recent trends related to security and organization within IoT and Smart Cities. We expect this book to be of significant importance not only to researchers and practitioners in academia, government agencies and industries, but also for policy makers and system managers. We anticipate this book to be a valuable resource for all those working in this new and exciting area, and a “must have” for all university libraries.

Artificial Intelligence and Security

Artificial Intelligence and Security
Author: Xingming Sun,Zhaoqing Pan,Elisa Bertino
Publsiher: Springer
Total Pages: 665
Release: 2019-07-18
ISBN: 303024265X
Category: Computers
Language: EN, FR, DE, ES & NL

Artificial Intelligence and Security Book Excerpt:

The 4-volume set LNCS 11632 until LNCS 11635 constitutes the refereed proceedings of the 5th International Conference on Artificial Intelligence and Security, ICAIS 2019, which was held in New York, USA, in July 2019. The conference was formerly called “International Conference on Cloud Computing and Security” with the acronym ICCCS. The total of 230 full papers presented in this 4-volume proceedings was carefully reviewed and selected from 1529 submissions. The papers were organized in topical sections as follows: Part I: cloud computing; Part II: artificial intelligence; big data; and cloud computing and security; Part III: cloud computing and security; information hiding; IoT security; multimedia forensics; and encryption and cybersecurity; Part IV: encryption and cybersecurity.

Advances in Artificial Intelligence and Security

Advances in Artificial Intelligence and Security
Author: Xingming Sun
Publsiher: Springer Nature
Total Pages: 135
Release: 2022
ISBN: 3031067614
Category: Electronic Book
Language: EN, FR, DE, ES & NL

Advances in Artificial Intelligence and Security Book Excerpt:

Hands On Artificial Intelligence for Cybersecurity

Hands On Artificial Intelligence for Cybersecurity
Author: Alessandro Parisi
Publsiher: Packt Publishing Ltd
Total Pages: 342
Release: 2019-08-02
ISBN: 1789805171
Category: Computers
Language: EN, FR, DE, ES & NL

Hands On Artificial Intelligence for Cybersecurity Book Excerpt:

Build smart cybersecurity systems with the power of machine learning and deep learning to protect your corporate assets Key FeaturesIdentify and predict security threats using artificial intelligenceDevelop intelligent systems that can detect unusual and suspicious patterns and attacksLearn how to test the effectiveness of your AI cybersecurity algorithms and toolsBook Description Today's organizations spend billions of dollars globally on cybersecurity. Artificial intelligence has emerged as a great solution for building smarter and safer security systems that allow you to predict and detect suspicious network activity, such as phishing or unauthorized intrusions. This cybersecurity book presents and demonstrates popular and successful AI approaches and models that you can adapt to detect potential attacks and protect your corporate systems. You'll learn about the role of machine learning and neural networks, as well as deep learning in cybersecurity, and you'll also learn how you can infuse AI capabilities into building smart defensive mechanisms. As you advance, you'll be able to apply these strategies across a variety of applications, including spam filters, network intrusion detection, botnet detection, and secure authentication. By the end of this book, you'll be ready to develop intelligent systems that can detect unusual and suspicious patterns and attacks, thereby developing strong network security defenses using AI. What you will learnDetect email threats such as spamming and phishing using AICategorize APT, zero-days, and polymorphic malware samplesOvercome antivirus limits in threat detectionPredict network intrusions and detect anomalies with machine learningVerify the strength of biometric authentication procedures with deep learningEvaluate cybersecurity strategies and learn how you can improve themWho this book is for If you’re a cybersecurity professional or ethical hacker who wants to build intelligent systems using the power of machine learning and AI, you’ll find this book useful. Familiarity with cybersecurity concepts and knowledge of Python programming is essential to get the most out of this book.

Artificial Intelligence and Data Mining Approaches in Security Frameworks

Artificial Intelligence and Data Mining Approaches in Security Frameworks
Author: Neeraj Bhargava,Ritu Bhargava,Pramod Singh Rathore,Rashmi Agrawal
Publsiher: John Wiley & Sons
Total Pages: 320
Release: 2021-08-11
ISBN: 1119760437
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Artificial Intelligence and Data Mining Approaches in Security Frameworks Book Excerpt:

Artificial intelligence (AI) and data mining is the fastest growing field in computer science. AI and data mining algorithms and techniques are found to be useful in different areas like pattern recognition, automatic threat detection, automatic problem solving, visual recognition, fraud detection, detecting developmental delay in children, and many other applications. However, applying AI and data mining techniques or algorithms successfully in these areas needs a concerted effort, fostering integrative research between experts ranging from diverse disciplines from data science to Artificial Intelligence. Successful application of security frameworks to enable meaningful, cost effective, personalize security service is a primary aim of engineers and researchers today. However realizing this goal requires effective understanding, application and amalgamation of AI and Data Mining and several other computing technologies to deploy such system in an effective manner. This book provides state of the art approaches of artificial intelligence and data mining in these areas. It includes areas of detection, prediction, as well as future framework identification, development, building service systems and analytical aspects. In all these topics, applications of AI and data mining, such as artificial neural networks, fuzzy logic, genetic algorithm and hybrid mechanisms, are explained and explored. This book is aimed at the modeling and performance prediction of efficient security framework systems, bringing to light a new dimension in the theory and practice. This groundbreaking new volume presents these topics and trends, bridging the research gap on AI and data mining to enable wide-scale implementation. Whether for the veteran engineer or the student, this is a must-have for any library.

Research Anthology on Artificial Intelligence Applications in Security

Research Anthology on Artificial Intelligence Applications in Security
Author: Management Association, Information Resources
Publsiher: IGI Global
Total Pages: 2253
Release: 2020-11-27
ISBN: 1799877485
Category: Computers
Language: EN, FR, DE, ES & NL

Research Anthology on Artificial Intelligence Applications in Security Book Excerpt:

As industries are rapidly being digitalized and information is being more heavily stored and transmitted online, the security of information has become a top priority in securing the use of online networks as a safe and effective platform. With the vast and diverse potential of artificial intelligence (AI) applications, it has become easier than ever to identify cyber vulnerabilities, potential threats, and the identification of solutions to these unique problems. The latest tools and technologies for AI applications have untapped potential that conventional systems and human security systems cannot meet, leading AI to be a frontrunner in the fight against malware, cyber-attacks, and various security issues. However, even with the tremendous progress AI has made within the sphere of security, it’s important to understand the impacts, implications, and critical issues and challenges of AI applications along with the many benefits and emerging trends in this essential field of security-based research. Research Anthology on Artificial Intelligence Applications in Security seeks to address the fundamental advancements and technologies being used in AI applications for the security of digital data and information. The included chapters cover a wide range of topics related to AI in security stemming from the development and design of these applications, the latest tools and technologies, as well as the utilization of AI and what challenges and impacts have been discovered along the way. This resource work is a critical exploration of the latest research on security and an overview of how AI has impacted the field and will continue to advance as an essential tool for security, safety, and privacy online. This book is ideally intended for cyber security analysts, computer engineers, IT specialists, practitioners, stakeholders, researchers, academicians, and students interested in AI applications in the realm of security research.

Artificial Intelligence in Cyber Security Impact and Implications

Artificial Intelligence in Cyber Security  Impact and Implications
Author: Reza Montasari
Publsiher: Springer Nature
Total Pages: 135
Release: 2022
ISBN: 3030880400
Category: Electronic Book
Language: EN, FR, DE, ES & NL

Artificial Intelligence in Cyber Security Impact and Implications Book Excerpt:

Advances in Artificial Intelligence for Privacy Protection and Security

Advances in Artificial Intelligence for Privacy Protection and Security
Author: Anonim
Publsiher: Unknown
Total Pages: 135
Release: 2022
ISBN: 9814472034
Category: Electronic Book
Language: EN, FR, DE, ES & NL

Advances in Artificial Intelligence for Privacy Protection and Security Book Excerpt:

ICCWS 2019 14th International Conference on Cyber Warfare and Security

ICCWS 2019 14th International Conference on Cyber Warfare and Security
Author: Noëlle van der Waag-Cowling,Louise Leenen
Publsiher: Academic Conferences and publishing limited
Total Pages: 135
Release: 2019-02-28
ISBN: 1912764121
Category: Language Arts & Disciplines
Language: EN, FR, DE, ES & NL

ICCWS 2019 14th International Conference on Cyber Warfare and Security Book Excerpt:

Game Theory and Machine Learning for Cyber Security

Game Theory and Machine Learning for Cyber Security
Author: Charles A. Kamhoua,Christopher D. Kiekintveld,Fei Fang,Quanyan Zhu
Publsiher: John Wiley & Sons
Total Pages: 544
Release: 2021-09-08
ISBN: 1119723949
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Game Theory and Machine Learning for Cyber Security Book Excerpt:

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.

Intelligent Security Systems

Intelligent Security Systems
Author: Leon Reznik
Publsiher: John Wiley & Sons
Total Pages: 368
Release: 2021-09-23
ISBN: 1119771560
Category: Computers
Language: EN, FR, DE, ES & NL

Intelligent Security Systems Book Excerpt:

INTELLIGENT SECURITY SYSTEMS Dramatically improve your cybersecurity using AI and machine learning In Intelligent Security Systems, distinguished professor and computer scientist Dr. Leon Reznik delivers an expert synthesis of artificial intelligence, machine learning and data science techniques, applied to computer security to assist readers in hardening their computer systems against threats. Emphasizing practical and actionable strategies that can be immediately implemented by industry professionals and computer device’s owners, the author explains how to install and harden firewalls, intrusion detection systems, attack recognition tools, and malware protection systems. He also explains how to recognize and counter common hacking activities. This book bridges the gap between cybersecurity education and new data science programs, discussing how cutting-edge artificial intelligence and machine learning techniques can work for and against cybersecurity efforts. Intelligent Security Systems includes supplementary resources on an author-hosted website, such as classroom presentation slides, sample review, test and exam questions, and practice exercises to make the material contained practical and useful. The book also offers: A thorough introduction to computer security, artificial intelligence, and machine learning, including basic definitions and concepts like threats, vulnerabilities, risks, attacks, protection, and tools An exploration of firewall design and implementation, including firewall types and models, typical designs and configurations, and their limitations and problems Discussions of intrusion detection systems (IDS), including architecture topologies, components, and operational ranges, classification approaches, and machine learning techniques in IDS design A treatment of malware and vulnerabilities detection and protection, including malware classes, history, and development trends Perfect for undergraduate and graduate students in computer security, computer science and engineering, Intelligent Security Systems will also earn a place in the libraries of students and educators in information technology and data science, as well as professionals working in those fields.

Implications of Artificial Intelligence for Cybersecurity

Implications of Artificial Intelligence for Cybersecurity
Author: National Academies of Sciences, Engineering, and Medicine,Division on Engineering and Physical Sciences,Intelligence Community Studies Board,Computer Science and Telecommunications Board
Publsiher: National Academies Press
Total Pages: 98
Release: 2020-01-27
ISBN: 0309494508
Category: Computers
Language: EN, FR, DE, ES & NL

Implications of Artificial Intelligence for Cybersecurity Book Excerpt:

In recent years, interest and progress in the area of artificial intelligence (AI) and machine learning (ML) have boomed, with new applications vigorously pursued across many sectors. At the same time, the computing and communications technologies on which we have come to rely present serious security concerns: cyberattacks have escalated in number, frequency, and impact, drawing increased attention to the vulnerabilities of cyber systems and the need to increase their security. In the face of this changing landscape, there is significant concern and interest among policymakers, security practitioners, technologists, researchers, and the public about the potential implications of AI and ML for cybersecurity. The National Academies of Sciences, Engineering, and Medicine convened a workshop on March 12-13, 2019 to discuss and explore these concerns. This publication summarizes the presentations and discussions from the workshop.

Artificial Intelligence for Cyber Security Methods Issues and Possible Horizons or Opportunities

Artificial Intelligence for Cyber Security  Methods  Issues and Possible Horizons or Opportunities
Author: Sanjay Misra,Amit Kumar Tyagi
Publsiher: Springer Nature
Total Pages: 467
Release: 2021-05-31
ISBN: 3030722368
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Artificial Intelligence for Cyber Security Methods Issues and Possible Horizons or Opportunities Book Excerpt:

This book provides stepwise discussion, exhaustive literature review, detailed analysis and discussion, rigorous experimentation results (using several analytics tools), and an application-oriented approach that can be demonstrated with respect to data analytics using artificial intelligence to make systems stronger (i.e., impossible to breach). We can see many serious cyber breaches on Government databases or public profiles at online social networking in the recent decade. Today artificial intelligence or machine learning is redefining every aspect of cyber security. From improving organizations’ ability to anticipate and thwart breaches, protecting the proliferating number of threat surfaces with Zero Trust Security frameworks to making passwords obsolete, AI and machine learning are essential to securing the perimeters of any business. The book is useful for researchers, academics, industry players, data engineers, data scientists, governmental organizations, and non-governmental organizations.

Illumination of Artificial Intelligence in Cybersecurity and Forensics

Illumination of Artificial Intelligence in Cybersecurity and Forensics
Author: Sanjay Misra,Chamundeswari Arumugam
Publsiher: Springer Nature
Total Pages: 372
Release: 2022
ISBN: 3030934535
Category: Artificial intelligence
Language: EN, FR, DE, ES & NL

Illumination of Artificial Intelligence in Cybersecurity and Forensics Book Excerpt:

This book covers a variety of topics that span from industry to academics: hybrid AI model for IDS in IoT, intelligent authentication framework for IoMT mobile devices for extracting bioelectrical signals, security audit in terms of vulnerability analysis to protect the electronic medical records in healthcare system using AI, classification using CNN a multi-face recognition attendance system with anti-spoofing capability, challenges in face morphing attack detection, a dimensionality reduction and feature-level fusion technique for morphing attack detection (MAD) systems, findings and discussion on AI-assisted forensics, challenges and open issues in the application of AI in forensics, a terrorist computational model that uses Baum-Welch optimization to improve the intelligence and predictive accuracy of the activities of criminal elements, a novel method for detecting security violations in IDSs, graphical-based city block distance algorithm method for E-payment systems, image encryption, and AI methods in ransomware mitigation and detection. It assists the reader in exploring new research areas, wherein AI can be applied to offer solutions through the contribution from researchers and academia.