{"product_id":"intelligent-security-systems-9781119771531","title":"Intelligent Security Systems","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cb\u003eINTELLIGENT SECURITY SYSTEMS\u003c\/b\u003e \u003cp\u003e\u003cb\u003eDramatically improve your cybersecurity using AI and machine learning\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003eIn \u003ci\u003eIntelligent Security Systems,\u003c\/i\u003e 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. \u003c\/p\u003e\u003cp\u003eThis 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 eff\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eAcknowledgments ix\u003c\/p\u003e \u003cp\u003eIntroduction xi\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 Computer Security with Artificial Intelligence, Machine Learning, and Data Science Combination: What? How? Why? And Why Now and Together? 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e1.1 The Current Security Landscape 1\u003c\/p\u003e \u003cp\u003e1.2 Computer Security Basic Concepts 7\u003c\/p\u003e \u003cp\u003e1.3 Sources of Security Threats 9\u003c\/p\u003e \u003cp\u003e1.4 Attacks Against IoT and Wireless Sensor Networks 13\u003c\/p\u003e \u003cp\u003e1.5 Introduction into Artificial Intelligence, Machine Learning, and Data Science 18\u003c\/p\u003e \u003cp\u003e1.6 Fuzzy Logic and Systems 31\u003c\/p\u003e \u003cp\u003e1.7 Machine Learning 35\u003c\/p\u003e \u003cp\u003e1.8 Artificial Neural Networks (ANN) 43\u003c\/p\u003e \u003cp\u003e1.9 Genetic Algorithms (GA) 50\u003c\/p\u003e \u003cp\u003e1.10 Hybrid Intelligent Systems 51\u003c\/p\u003e \u003cp\u003eReview Questions 52\u003c\/p\u003e \u003cp\u003eExercises 53\u003c\/p\u003e \u003cp\u003eReferences 54\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 Firewall Design and Implementation: How to Configure Knowledge for the First Line of Defense? 57\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e2.1 Firewall Definition, History, and Functions: What Is It? And Where Does It Come From? 57\u003c\/p\u003e \u003cp\u003e2.2 Firewall Operational Models or How Do They Work? 65\u003c\/p\u003e \u003cp\u003e2.3 Basic Firewall Architectures or How Are They Built Up? 70\u003c\/p\u003e \u003cp\u003e2.4 Process of Firewall Design, Implementation, and Maintenance or What Is the Right Way to Put All Things Together? 75\u003c\/p\u003e \u003cp\u003e2.5 Firewall Policy Formalization with Rules or How Is the Knowledge Presented? 82\u003c\/p\u003e \u003cp\u003e2.6 Firewalls Evaluation and Current Developments or How Are They Getting More and More Intelligent? 96\u003c\/p\u003e \u003cp\u003eReview Questions 104\u003c\/p\u003e \u003cp\u003eExercises 106\u003c\/p\u003e \u003cp\u003eReferences 107\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 Intrusion Detection Systems: What Do They Do Beyond the First Line of Defense? 109\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e3.1 Definition, Goals, and Primary Functions 109\u003c\/p\u003e \u003cp\u003e3.2 IDS from a Historical Perspective 113\u003c\/p\u003e \u003cp\u003e3.3 Typical IDS Architecture Topologies, Components, and Operational Ranges 116\u003c\/p\u003e \u003cp\u003e3.4 IDS Types: Classification Approaches 121\u003c\/p\u003e \u003cp\u003e3.5 IDS Performance Evaluation 131\u003c\/p\u003e \u003cp\u003e3.6 Artificial Intelligence and Machine Learning Techniques in IDS Design 136\u003c\/p\u003e \u003cp\u003e3.7 Intrusion Detection Challenges and Their Mitigation in IDS Design and Deployment 159\u003c\/p\u003e \u003cp\u003e3.8 Intrusion Detection Tools 163\u003c\/p\u003e \u003cp\u003eReview Questions 172\u003c\/p\u003e \u003cp\u003eExercises 174\u003c\/p\u003e \u003cp\u003eReferences 175\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Malware and Vulnerabilities Detection and Protection: What Are We Looking for and How? 177\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e4.1 Malware Definition, History, and Trends in Development 177\u003c\/p\u003e \u003cp\u003e4.2 Malware Classification 182\u003c\/p\u003e \u003cp\u003e4.3 Spam 214\u003c\/p\u003e \u003cp\u003e4.4 Software Vulnerabilities 216\u003c\/p\u003e \u003cp\u003e4.5 Principles of Malware Detection and Anti-malware Protection 219\u003c\/p\u003e \u003cp\u003e4.6 Malware Detection Algorithms 229\u003c\/p\u003e \u003cp\u003e4.7 Anti-malware Tools 237\u003c\/p\u003e \u003cp\u003eReview Questions 240\u003c\/p\u003e \u003cp\u003eExercises 242\u003c\/p\u003e \u003cp\u003eReferences 243\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 Hackers versus Normal Users: Who Is Our Enemy and How to Differentiate Them from Us? 247\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e5.1 Hacker’s Activities and Protection Against 247\u003c\/p\u003e \u003cp\u003e5.2 Data Science Investigation of Ordinary Users’ Practice 273\u003c\/p\u003e \u003cp\u003e5.3 User’s Authentication 288\u003c\/p\u003e \u003cp\u003e5.4 User’s Anonymity, Attacks Against It, and Protection 301\u003c\/p\u003e \u003cp\u003eReview Questions 309\u003c\/p\u003e \u003cp\u003eExercises 310\u003c\/p\u003e \u003cp\u003eReferences 311\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 Adversarial Machine Learning: Who Is Machine Learning Working For? 315\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e6.1 Adversarial Machine Learning Definition 315\u003c\/p\u003e \u003cp\u003e6.2 Adversarial Attack Taxonomy 316\u003c\/p\u003e \u003cp\u003e6.3 Defense Strategies 320\u003c\/p\u003e \u003cp\u003e6.4 Investigation of the Adversarial Attacks Influence on the Classifier Performance Use Case 322\u003c\/p\u003e \u003cp\u003e6.5 Generative Adversarial Networks 327\u003c\/p\u003e \u003cp\u003eReview Questions 333\u003c\/p\u003e \u003cp\u003eExercises 334\u003c\/p\u003e \u003cp\u003eReferences 335\u003c\/p\u003e \u003cp\u003eIndex 337\u003c\/p\u003e","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":49407146688855,"sku":"9781119771531","price":74.66,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781119771531.jpg?v=1730498332","url":"https:\/\/bookcurl.com\/products\/intelligent-security-systems-9781119771531","provider":"Book Curl","version":"1.0","type":"link"}