Cybersecurity In Intelligent Networking Systems

Download Cybersecurity In Intelligent Networking Systems full books in PDF, epub, and Kindle. Read online Cybersecurity In Intelligent Networking Systems ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Cybersecurity in Intelligent Networking Systems

Author : Shengjie Xu
Publisher : John Wiley & Sons
ISBN 13 : 1119783917
Total Pages : 148 pages
Book Rating : 4.1/5 (197 download)

DOWNLOAD NOW!

Book Synopsis Cybersecurity in Intelligent Networking Systems by : Shengjie Xu

Download or read book Cybersecurity in Intelligent Networking Systems written by Shengjie Xu and published by John Wiley & Sons. This book was released on 2023-01-24 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt: CYBERSECURITY IN INTELLIGENT NETWORKING SYSTEMS Help protect your network system with this important reference work on cybersecurity Cybersecurity and privacy are critical to modern network systems. As various malicious threats have been launched that target critical online services—such as e-commerce, e-health, social networks, and other major cyber applications—it has become more critical to protect important information from being accessed. Data-driven network intelligence is a crucial development in protecting the security of modern network systems and ensuring information privacy. Cybersecurity in Intelligent Networking Systems provides a background introduction to data-driven cybersecurity, privacy preservation, and adversarial machine learning. It offers a comprehensive introduction to exploring technologies, applications, and issues in data-driven cyber infrastructure. It describes a proposed novel, data-driven network intelligence system that helps provide robust and trustworthy safeguards with edge-enabled cyber infrastructure, edge-enabled artificial intelligence (AI) engines, and threat intelligence. Focusing on encryption-based security protocol, this book also highlights the capability of a network intelligence system in helping target and identify unauthorized access, malicious interactions, and the destruction of critical information and communication technology. Cybersecurity in Intelligent Networking Systems readers will also find: Fundamentals in AI for cybersecurity, including artificial intelligence, machine learning, and security threats Latest technologies in data-driven privacy preservation, including differential privacy, federated learning, and homomorphic encryption Key areas in adversarial machine learning, from both offense and defense perspectives Descriptions of network anomalies and cyber threats Background information on data-driven network intelligence for cybersecurity Robust and secure edge intelligence for network anomaly detection against cyber intrusions Detailed descriptions of the design of privacy-preserving security protocols Cybersecurity in Intelligent Networking Systems is an essential reference for all professional computer engineers and researchers in cybersecurity and artificial intelligence, as well as graduate students in these fields.

AI in Cybersecurity

Author : Leslie F. Sikos
Publisher : Springer
ISBN 13 : 9783319988412
Total Pages : 0 pages
Book Rating : 4.9/5 (884 download)

DOWNLOAD NOW!

Book Synopsis AI in Cybersecurity by : Leslie F. Sikos

Download or read book AI in Cybersecurity written by Leslie F. Sikos and published by Springer. This book was released on 2018-09-27 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a collection of state-of-the-art AI approaches to cybersecurity and cyberthreat intelligence, offering strategic defense mechanisms for malware, addressing cybercrime, and assessing vulnerabilities to yield proactive rather than reactive countermeasures. The current variety and scope of cybersecurity threats far exceed the capabilities of even the most skilled security professionals. In addition, analyzing yesterday’s security incidents no longer enables experts to predict and prevent tomorrow’s attacks, which necessitates approaches that go far beyond identifying known threats. Nevertheless, there are promising avenues: complex behavior matching can isolate threats based on the actions taken, while machine learning can help detect anomalies, prevent malware infections, discover signs of illicit activities, and protect assets from hackers. In turn, knowledge representation enables automated reasoning over network data, helping achieve cybersituational awareness. Bringing together contributions by high-caliber experts, this book suggests new research directions in this critical and rapidly growing field.

Introduction to Computer Networks and Cybersecurity

Author : Chwan-Hwa (John) Wu
Publisher : CRC Press
ISBN 13 : 1498760139
Total Pages : 2180 pages
Book Rating : 4.4/5 (987 download)

DOWNLOAD NOW!

Book Synopsis Introduction to Computer Networks and Cybersecurity by : Chwan-Hwa (John) Wu

Download or read book Introduction to Computer Networks and Cybersecurity written by Chwan-Hwa (John) Wu and published by CRC Press. This book was released on 2016-04-19 with total page 2180 pages. Available in PDF, EPUB and Kindle. Book excerpt: If a network is not secure, how valuable is it? Introduction to Computer Networks and Cybersecurity takes an integrated approach to networking and cybersecurity, highlighting the interconnections so that you quickly understand the complex design issues in modern networks. This full-color book uses a wealth of examples and illustrations to effective

Hands-On Artificial Intelligence for Cybersecurity

Author : Alessandro Parisi
Publisher : Packt Publishing Ltd
ISBN 13 : 1789805171
Total Pages : 331 pages
Book Rating : 4.7/5 (898 download)

DOWNLOAD NOW!

Book Synopsis Hands-On Artificial Intelligence for Cybersecurity by : Alessandro Parisi

Download or read book Hands-On Artificial Intelligence for Cybersecurity written by Alessandro Parisi and published by Packt Publishing Ltd. This book was released on 2019-08-02 with total page 331 pages. Available in PDF, EPUB and Kindle. 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.

Intelligent Security Systems

Author : Leon Reznik
Publisher : John Wiley & Sons
ISBN 13 : 1119771536
Total Pages : 372 pages
Book Rating : 4.1/5 (197 download)

DOWNLOAD NOW!

Book Synopsis Intelligent Security Systems by : Leon Reznik

Download or read book Intelligent Security Systems written by Leon Reznik and published by John Wiley & Sons. This book was released on 2021-10-19 with total page 372 pages. Available in PDF, EPUB and Kindle. 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.

Cyber Security of Industrial Control Systems in the Future Internet Environment

Author : Stojanovi?, Mirjana D.
Publisher : IGI Global
ISBN 13 : 179982912X
Total Pages : 374 pages
Book Rating : 4.7/5 (998 download)

DOWNLOAD NOW!

Book Synopsis Cyber Security of Industrial Control Systems in the Future Internet Environment by : Stojanovi?, Mirjana D.

Download or read book Cyber Security of Industrial Control Systems in the Future Internet Environment written by Stojanovi?, Mirjana D. and published by IGI Global. This book was released on 2020-02-21 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: In today’s modernized market, many fields are utilizing internet technologies in their everyday methods of operation. The industrial sector is no different as these technological solutions have provided several benefits including reduction of costs, scalability, and efficiency improvements. Despite this, cyber security remains a crucial risk factor in industrial control systems. The same public and corporate solutions do not apply to this specific district because these security issues are more complex and intensive. Research is needed that explores new risk assessment methods and security mechanisms that professionals can apply to their modern technological procedures. Cyber Security of Industrial Control Systems in the Future Internet Environment is a pivotal reference source that provides vital research on current security risks in critical infrastructure schemes with the implementation of information and communication technologies. While highlighting topics such as intrusion detection systems, forensic challenges, and smart grids, this publication explores specific security solutions within industrial sectors that have begun applying internet technologies to their current methods of operation. This book is ideally designed for researchers, system engineers, managers, networkers, IT professionals, analysts, academicians, and students seeking a better understanding of the key issues within securing industrial control systems that utilize internet technologies.

Emerging Trends in Intelligent Systems & Network Security

Author : Mohamed Ben Ahmed
Publisher : Springer Nature
ISBN 13 : 3031151917
Total Pages : 549 pages
Book Rating : 4.0/5 (311 download)

DOWNLOAD NOW!

Book Synopsis Emerging Trends in Intelligent Systems & Network Security by : Mohamed Ben Ahmed

Download or read book Emerging Trends in Intelligent Systems & Network Security written by Mohamed Ben Ahmed and published by Springer Nature. This book was released on 2022-08-31 with total page 549 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers selected research works presented at the fifth International Conference on Networking, Information Systems and Security (NISS 2022), organized by the Research Center for Data and Information Sciences at the National Research and Innovation Agency (BRIN), Republic of Indonesia, and Moroccan Mediterranean Association of Sciences and Sustainable Development, Morocco, during March 30–31, 2022, hosted in online mode in Bandung, Indonesia. Building on the successful history of the conference series in the recent four years, this book aims to present the paramount role of connecting researchers around the world to disseminate and share new ideas in intelligent information systems, cyber-security, and networking technologies. The 49 chapters presented in this book were carefully reviewed and selected from 115 submissions. They focus on delivering intelligent solutions through leveraging advanced information systems, networking, and security for competitive advantage and cost savings in modern industrial sectors as well as public, business, and education sectors. Authors are eminent academicians, scientists, researchers, and scholars in their respective fields from across the world.

Smart Cities Cybersecurity and Privacy

Author : Danda B. Rawat
Publisher : Elsevier
ISBN 13 : 0128150335
Total Pages : 303 pages
Book Rating : 4.1/5 (281 download)

DOWNLOAD NOW!

Book Synopsis Smart Cities Cybersecurity and Privacy by : Danda B. Rawat

Download or read book Smart Cities Cybersecurity and Privacy written by Danda B. Rawat and published by Elsevier. This book was released on 2018-12-04 with total page 303 pages. Available in PDF, EPUB and Kindle. Book excerpt: Smart Cities Cybersecurity and Privacy examines the latest research developments and their outcomes for safe, secure, and trusting smart cities residents. Smart cities improve the quality of life of citizens in their energy and water usage, healthcare, environmental impact, transportation needs, and many other critical city services. Recent advances in hardware and software, have fueled the rapid growth and deployment of ubiquitous connectivity between a city’s physical and cyber components. This connectivity however also opens up many security vulnerabilities that must be mitigated. Smart Cities Cybersecurity and Privacy helps researchers, engineers, and city planners develop adaptive, robust, scalable, and reliable security and privacy smart city applications that can mitigate the negative implications associated with cyber-attacks and potential privacy invasion. It provides insights into networking and security architectures, designs, and models for the secure operation of smart city applications. Consolidates in one place state-of-the-art academic and industry research Provides a holistic and systematic framework for design, evaluating, and deploying the latest security solutions for smart cities Improves understanding and collaboration among all smart city stakeholders to develop more secure smart city architectures

Cyber Security Intelligence and Analytics

Author : Zheng Xu
Publisher : Springer
ISBN 13 : 3030152359
Total Pages : 1453 pages
Book Rating : 4.0/5 (31 download)

DOWNLOAD NOW!

Book Synopsis Cyber Security Intelligence and Analytics by : Zheng Xu

Download or read book Cyber Security Intelligence and Analytics written by Zheng Xu and published by Springer. This book was released on 2019-04-24 with total page 1453 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the outcomes of the 2019 International Conference on Cyber Security Intelligence and Analytics (CSIA2019), an international conference dedicated to promoting novel theoretical and applied research advances in the interdisciplinary field of cyber security, particularly focusing on threat intelligence, analytics, and countering cyber crime. The conference provides a forum for presenting and discussing innovative ideas, cutting-edge research findings, and novel techniques, methods and applications on all aspects of Cyber Security Intelligence and Analytics.

Security in Distributed and Networking Systems

Author : Yang Xiao
Publisher : World Scientific
ISBN 13 : 9812770100
Total Pages : 508 pages
Book Rating : 4.8/5 (127 download)

DOWNLOAD NOW!

Book Synopsis Security in Distributed and Networking Systems by : Yang Xiao

Download or read book Security in Distributed and Networking Systems written by Yang Xiao and published by World Scientific. This book was released on 2007 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt: Security issues in distributed systems and network systems are extremely important. This edited book provides a comprehensive treatment on security issues in these systems, ranging from attacks to all kinds of solutions from prevention to detection approaches. The books includes security studies in a range of systems including peer-to-peer networks, distributed systems, Internet, wireless networks, Internet service, e-commerce, mobile and pervasive computing. Security issues in these systems include attacks, malicious node detection, access control, authentication, intrusion detection, privacy and anonymity, security architectures and protocols, security theory and tools, secrecy and integrity, and trust models. This volume provides an excellent reference for students, faculty, researchers and people in the industry related to these fields.

AI-Enabled Threat Detection and Security Analysis for Industrial IoT

Author : Hadis Karimipour
Publisher : Springer Nature
ISBN 13 : 3030766136
Total Pages : 250 pages
Book Rating : 4.0/5 (37 download)

DOWNLOAD NOW!

Book Synopsis AI-Enabled Threat Detection and Security Analysis for Industrial IoT by : Hadis Karimipour

Download or read book AI-Enabled Threat Detection and Security Analysis for Industrial IoT written by Hadis Karimipour and published by Springer Nature. This book was released on 2021-08-03 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: This contributed volume provides the state-of-the-art development on security and privacy for cyber-physical systems (CPS) and industrial Internet of Things (IIoT). More specifically, this book discusses the security challenges in CPS and IIoT systems as well as how Artificial Intelligence (AI) and Machine Learning (ML) can be used to address these challenges. Furthermore, this book proposes various defence strategies, including intelligent cyber-attack and anomaly detection algorithms for different IIoT applications. Each chapter corresponds to an important snapshot including an overview of the opportunities and challenges of realizing the AI in IIoT environments, issues related to data security, privacy and application of blockchain technology in the IIoT environment. This book also examines more advanced and specific topics in AI-based solutions developed for efficient anomaly detection in IIoT environments. Different AI/ML techniques including deep representation learning, Snapshot Ensemble Deep Neural Network (SEDNN), federated learning and multi-stage learning are discussed and analysed as well. Researchers and professionals working in computer security with an emphasis on the scientific foundations and engineering techniques for securing IIoT systems and their underlying computing and communicating systems will find this book useful as a reference. The content of this book will be particularly useful for advanced-level students studying computer science, computer technology, cyber security, and information systems. It also applies to advanced-level students studying electrical engineering and system engineering, who would benefit from the case studies.

Industrial Network Security

Author : Eric D. Knapp
Publisher : Elsevier
ISBN 13 : 0443137382
Total Pages : 520 pages
Book Rating : 4.4/5 (431 download)

DOWNLOAD NOW!

Book Synopsis Industrial Network Security by : Eric D. Knapp

Download or read book Industrial Network Security written by Eric D. Knapp and published by Elsevier. This book was released on 2024-03-26 with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt: As the sophistication of cyber-attacks increases, understanding how to defend critical infrastructure systems—energy production, water, gas, and other vital systems—becomes more important, and heavily mandated. Industrial Network Security, Third Edition arms you with the knowledge you need to understand the vulnerabilities of these distributed supervisory and control systems. Authors Eric Knapp and Joel Langill examine the unique protocols and applications that are the foundation of Industrial Control Systems (ICS), and provide clear guidelines for their protection. This comprehensive reference gives you thorough understanding of the challenges facing critical infrastructures, new guidelines and security measures for infrastructure protection, knowledge of new and evolving security tools, and pointers on SCADA protocols and security implementation. "...worth recommendation for people who are interested in modern industry control systems security. Additionally, it will be advantageous for university researchers and graduate students in the network security field, as well as to industry specialists in the area of ICS." --IEEE Communications Magazine All-new real-world examples of attacks against control systems such as Trisys, Pipedream, and more diagrams of systems Includes all-new chapters on USB security and OT Cyber Kill Chains, including the lifecycle of an incident response from detection to recovery Expanded coverage of network anomaly detection and Beachhead systems for extensive monitoring and detection New coverage of network spans, mirrors, and taps, as well as asset discovery, log collection, and industrial-focused SIEM solution

The Smart Cyber Ecosystem for Sustainable Development

Author : Pardeep Kumar
Publisher : John Wiley & Sons
ISBN 13 : 1119761662
Total Pages : 484 pages
Book Rating : 4.1/5 (197 download)

DOWNLOAD NOW!

Book Synopsis The Smart Cyber Ecosystem for Sustainable Development by : Pardeep Kumar

Download or read book The Smart Cyber Ecosystem for Sustainable Development written by Pardeep Kumar and published by John Wiley & Sons. This book was released on 2021-09-08 with total page 484 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Smart Cyber Ecosystem for Sustainable Development As the entire ecosystem is moving towards a sustainable goal, technology driven smart cyber system is the enabling factor to make this a success, and the current book documents how this can be attained. The cyber ecosystem consists of a huge number of different entities that work and interact with each other in a highly diversified manner. In this era, when the world is surrounded by many unseen challenges and when its population is increasing and resources are decreasing, scientists, researchers, academicians, industrialists, government agencies and other stakeholders are looking toward smart and intelligent cyber systems that can guarantee sustainable development for a better and healthier ecosystem. The main actors of this cyber ecosystem include the Internet of Things (IoT), artificial intelligence (AI), and the mechanisms providing cybersecurity. This book attempts to collect and publish innovative ideas, emerging trends, implementation experiences, and pertinent user cases for the purpose of serving mankind and societies with sustainable societal development. The 22 chapters of the book are divided into three sections: Section I deals with the Internet of Things, Section II focuses on artificial intelligence and especially its applications in healthcare, whereas Section III investigates the different cyber security mechanisms. Audience This book will attract researchers and graduate students working in the areas of artificial intelligence, blockchain, Internet of Things, information technology, as well as industrialists, practitioners, technology developers, entrepreneurs, and professionals who are interested in exploring, designing and implementing these technologies.

Artificial Intelligence and Security Challenges in Emerging Networks

Author : Abassi, Ryma
Publisher : IGI Global
ISBN 13 : 1522573542
Total Pages : 293 pages
Book Rating : 4.5/5 (225 download)

DOWNLOAD NOW!

Book Synopsis Artificial Intelligence and Security Challenges in Emerging Networks by : Abassi, Ryma

Download or read book Artificial Intelligence and Security Challenges in Emerging Networks written by Abassi, Ryma and published by IGI Global. This book was released on 2019-01-25 with total page 293 pages. Available in PDF, EPUB and Kindle. Book excerpt: The recent rise of emerging networking technologies such as social networks, content centric networks, Internet of Things networks, etc, have attracted significant attention from academia as well as industry professionals looking to utilize these technologies for efficiency purposes. However, the allure of such networks and resultant storage of high volumes of data leads to increased security risks, including threats to information privacy. Artificial Intelligence and Security Challenges in Emerging Networks is an essential reference source that discusses applications of artificial intelligence, machine learning, and data mining, as well as other tools and strategies to protect networks against security threats and solve security and privacy problems. Featuring research on topics such as encryption, neural networks, and system verification, this book is ideally designed for ITC procurement managers, IT consultants, systems and network integrators, infrastructure service providers, computer and software engineers, startup companies, academicians, researchers, managers, and students.

Cybersecurity in Digital Transformation

Author : Dietmar P.F. Möller
Publisher : Springer Nature
ISBN 13 : 3030605701
Total Pages : 126 pages
Book Rating : 4.0/5 (36 download)

DOWNLOAD NOW!

Book Synopsis Cybersecurity in Digital Transformation by : Dietmar P.F. Möller

Download or read book Cybersecurity in Digital Transformation written by Dietmar P.F. Möller and published by Springer Nature. This book was released on 2020-12-03 with total page 126 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book brings together the essential methodologies required to understand the advancement of digital technologies into digital transformation, as well as to protect them against cyber threat vulnerabilities (in this context cybersecurity attack ontology is included, modeling different types of adversary knowledge). It covers such essential methodologies as CIA Triad, Security Risk, Likelihood, and Consequence Level, Threat Attack Profiling, Threat Intelligence, Threat Lifecycle and more. The idea behind digital transformation is to use digital technologies not only to replicate an existing process in a digital form, but to use digital technology to transform that process into something intelligent (where anything is connected with everything at any time and accessible and controlled and designed advanced). Against this background, cyber threat attacks become reality, using advanced digital technologies with their extreme interconnected capability which call for sophisticated cybersecurity protecting digital technologies of digital transformation. Scientists, advanced-level students and researchers working in computer science, electrical engineering and applied mathematics will find this book useful as a reference guide. Professionals working in the field of big data analytics or digital/intelligent manufacturing will also find this book to be a valuable tool.

Cybersecurity Risk of IoT on Smart Cities

Author : Roberto O. Andrade
Publisher : Springer Nature
ISBN 13 : 3030885240
Total Pages : 95 pages
Book Rating : 4.0/5 (38 download)

DOWNLOAD NOW!

Book Synopsis Cybersecurity Risk of IoT on Smart Cities by : Roberto O. Andrade

Download or read book Cybersecurity Risk of IoT on Smart Cities written by Roberto O. Andrade and published by Springer Nature. This book was released on 2022-01-01 with total page 95 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the topics on cyber security in IoT systems used in different verticals such as agriculture, health, homes, transportation within the context of smart cities. The authors provide an analysis of the importance of developing smart cities by incorporating technologies such as IoT to achieve the sustainable development goals (SDGs) within the agenda 2030. Furthermore, it includes an analysis of the cyber security challenges generated by IoT systems due to factors such as heterogeneity, lack of security in design and few hardware resources in these systems, and how they should be addressed from a risk analysis approach, evaluating the risk analysis methodologies widely used in traditional IT systems.

Intelligent Security Systems

Author : Leon Reznik
Publisher : John Wiley & Sons
ISBN 13 : 1119771560
Total Pages : 372 pages
Book Rating : 4.1/5 (197 download)

DOWNLOAD NOW!

Book Synopsis Intelligent Security Systems by : Leon Reznik

Download or read book Intelligent Security Systems written by Leon Reznik and published by John Wiley & Sons. This book was released on 2021-09-23 with total page 372 pages. Available in PDF, EPUB and Kindle. 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.