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\"The book gives useful insight on various machine learning techniques for cyber security analytics. Nowadays around 98% objects and devices are connected with the outside world through sensors and actuators. They are increasingly networked with one another and on the internet.This book gives a comprehensive overview of security issues in cyber physical systems by examining and analyzing the vulnerabilities. It also brings current understanding of common web vulnerabilities and its analysis while maintaining awareness and knowledge of contemporary standards, practices, procedures and methods of Open Web Application Security Project. This book is a medium to funnel creative energy and develop new skills of hacking and analysis of security. It also aids to plunge into a career in cybersecurity to even the unlearned. This book also expedites the learning of the basics of investigating crimes, including intrusion from the outside and damaging practices from the inside, how criminals apply across devices, networks, and the internet at large and analysis of security data. It also expounds on how to analyse in order to recover information after a cybercrime\"-- Provided by publisher.

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. Table of Contents: A Deep Learning-Based System for Network Cyber Threat Detection Angel Luis Perales Gomez, Lorenzo Fernandez Maimo and Felix J. Garcia Clemente Machine learning for phishing detection and mitigation Mohammad Alauthman, Ammar Almomani, Mohammed Alweshah, Waleed Alomoush and Kamal Alieyan Next Generation Adaptable Opportunistic Sensing Based Wireless Sensor Networks: A Machine Learning Perspective Jasminder Sandhu, Anil Verma and Prashant Rana A Bio-inspired Approach to Cyber Security Siyakha Mthunzi, Elhadj Benkhelifa, Tomasz Bosakowski and Salim Hariri Applications of a Model to Evaluate and Utilize Users’ Interactions in Online Social Networks Izzat Alsmadi and Muhammad Al-Abdullah A deep-dive on Machine learning for Cybersecurity use cases Vinayakumar R, Soman Kp, Prabaharan Poornachandran and Pradeep Menon Droid-Sec: A Prototype Method to Discover Malwares in Android-Based Smart Phones through System Calls B. B. Gupta, Shashank Gupta, Shubham Goel, Nihit Bhardwaj, and Jaiveer Singh Metaheuristic Algorithms Based Feature Selection Approach for Intrusion Detection Mohammed Al-Weshah, Saleh Al Khalayleh, Ammar Almomani, Mohammed Al-Refai and Riyadh Qashi A Taxonomy of Bitcoin Security Issues and Defense Mechanisms Prachi Gulihar and B. B. Gupta Early Detection and Prediction of Lung Cancer using Machine Learning Algorithms Applied on a Secure Healthcare Data System Architecture Mohamed Alloghani, Thar Baker, Dhiya Al-Jumeily, Abir Hussain, Ahmed Kaky and Jamila Mustafina Preventing Black Hole Attack in AODV Routing Protocol using Dynamic Trust Handshake Based Malicious Behavior Detection Mechanism Bhawna Singla, A.K. Verma and L.R. Raheja Detecting Controller Interlock based Tax Evasion Groups in a Corporate Governance Network Jianfei Ruan, Zheng Yan, Bo Dong and Qinghua Zheng 　 Defending Web Applications against JavaScript Worms on Core Network of Cloud Platforms Shashank Tripathi, Pranav Saxena, Harsh Dwivedi and Shashank Gupta Importance of Providing Incentives and Economic Solutions in IT Security A. Dhahiya, and B. B. Gupta Teaching Johnny to Thwart Phishing Attacks: Incorporating the Role of Self-Efficacy into a Game Application Nalin Asanka Gamagedara Arachchilage, and Mumtaz Abdul Hameed Brij B. Gupta received PhD degree from Indian Institute of Technology Roorkee, India in Information and Cyber Security. He published more than 175 research papers in International Journals and Conferences of high repute including IEEE, Elsevier, ACM, Springer, Wiley, Taylor & Francis, Inderscience, etc. He has visited several countries, i.e. Canada, Japan, Malaysia, Australia, China, Hong-Kong, Italy, Spain etc to present his research work. His biography was selected and published in the 30th Edition of Marquis Who's Who in the World, 2012. Dr. Gupta also received Young Faculty research fellowship award from Ministry of Electronics and Information Technology, Government of India in 2017. He is also working as principal investigator of various R&D projects. He is serving as associate editor of IEEE Access, IEEE TII, and Executive editor of IJITCA, Inderscience, respectively. At present, Dr. Gupta is working as Assistant Professor in the Department of Computer Engineering, National Institute of Technology Kurukshetra India. His research interest includes Information security, Cyber Security, Mobile security, Cloud Computing, Web security, Intrusion detection and Phishing. Michael Sheng is a full Professor and Head of Department of Computing at Macquarie University. Before moving to Macquarie, Michael spent 10 years at School of Computer Science, the University of Adelaide (UoA). Michael holds a PhD degree in computer science from the University of New South Wales (UNSW) and did his post-doc as a research scientist at CSIRO ICT Centre. From 1999 to 2001, Sheng also worked at UNSW as a visiting research fellow. Prior to that, he spent 6 years as a senior software engineer in industries. Prof. Sheng has more than 280 publications as edited books and proceedings, refereed book chapters, and refereed technical papers in journals and conferences including ACM Computing Surveys, ACM TOIT, ACM TOMM, ACM TKDD, VLDB Journal, Computer (Oxford), IEEE TPDS, TKDE, DAPD, IEEE TSC, WWWJ, IEEE Computer, IEEE Internet Computing, Communications of the ACM, VLDB, ICDE, ICDM, CIKM, EDBT, WWW, ICSE, ICSOC, ICWS, and CAiSE. Dr. Michael Sheng is the recipient of the ARC Future Fellowship (2014), Chris Wallace Award for Outstanding Research Contribution (2012), and Microsoft Research Fellowship (2003). He is a member of the IEEE and the ACM. Homepage: https://web.science.mq.edu.au/~qsheng/

\"This book emphasizes the importance, and the benefits, of having a security architecture in place. The book will be aligned with most of the sub frameworks in the general framework called SABSA, or Sherwood Applied Business Security Architecture. SABSA is comprised of several individual frameworks and there are several certifications that you can take in SABSA. Aside from getting a validation of your skills, SABSA as a framework focusses on aligning the Security Architecture with the business and its strategy. Each of the chapters in this book will be aligned with one or more of the components in SABSA, the components will be described along with the introduction to each of the chapters\"-- Provided by publisher.

This book provides a scientific modeling approach for conducting metrics-based quantitative risk assessments of cybersecurity vulnerabilities and threats. This book provides a scientific modeling approach for conducting metrics-based quantitative risk assessments of cybersecurity threats. The author builds from a common understanding based on previous class-tested works to introduce the reader to the current and newly innovative approaches to address the maliciously-by-human-created (rather than by-chance-occurring) vulnerability and threat, and related cost-effective management to mitigate such risk. This book is purely statistical data-oriented (not deterministic) and employs computationally intensive techniques, such as Monte Carlo and Discrete Event  Simulation. The enriched JAVA ready-to-go applications and solutions to exercises provided by the author at the book's specifically preserved website will enable readers to utilize the course related problems. • Enables the reader to use the book's website's applications to implement and see results, and use them making 'budgetary' sense • Utilizes a data analytical approach and provides clear entry points for readers of varying skill sets and backgrounds • Developed out of necessity from real in-class experience while teaching advanced undergraduate and graduate courses by the author Cyber-Risk Informatics is a resource for undergraduate students, graduate students, and practitioners in the field of Risk Assessment and Management regarding Security and Reliability Modeling. Mehmet Sahinoglu, a Professor (1990) Emeritus (2000), is the founder of the Informatics Institute (2009) and its SACS-accredited (2010) and NSA-certified (2013) flagship Cybersystems and Information Security (CSIS) graduate program (the first such full degree in-class program in Southeastern USA) at AUM, Auburn University's metropolitan campus in Montgomery, Alabama. He is a fellow member of the SDPS Society, a senior member of the IEEE, and an elected member of ISI. Sahinoglu is the recipient of Microsoft's Trustworthy Computing Curriculum (TCC) award and the author of Trustworthy Computing (Wiley, 2007).  

\"This book posits that rather than cybersecurity being simply an issue of securing systems and networks, corporate leaders need to think in terms of assuring the integrity and durability of the interconnected business and social structures that sit on top of an increasingly complex technology landscape\"-- Provided by publisher.

This text illustrates algorithms and cryptosystems using examples and the open-source computer algebra system of Sage. It enables students to run their own programs and develop a deep and solid understanding of the mechanics of cryptography. The author, a noted educator in the field, covers the methods, algorithms, and applications of modern cryptographic systems. He provides a highly practical learning experience by progressing at a gentle pace, keeping mathematics at a manageable level, and including numerous end-of-chapter exercises.

This book discusses understand cybersecurity management in decentralized finance (DeFi). It commences with introducing fundamentals of DeFi and cybersecurity to readers. It emphasizes on the importance of cybersecurity for decentralized finance by illustrating recent cyber breaches, attacks, and financial losses. The book delves into understanding cyber threats and adversaries who can exploit those threats. It advances with cybersecurity threat, vulnerability, and risk management in DeFi. The book helps readers understand cyber threat landscape comprising different threat categories for that can exploit different types of vulnerabilities identified in DeFi. It puts forward prominent threat modelling strategies by focusing on attackers, assets, and software. The book includes the popular blockchains that support DeFi include Ethereum, Binance Smart Chain, Solana, Cardano, Avalanche, Polygon, among others. With so much monetary value associated with all these technologies, the perpetrators are always lured to breach security by exploiting the vulnerabilities that exist in these technologies. For simplicity and clarity, all vulnerabilities are classified into different categories: arithmetic bugs, re-Entrancy attack, race conditions, exception handling, using a weak random generator, timestamp dependency, transaction-ordering dependence and front running, vulnerable libraries, wrong initial assumptions, denial of service, flash loan attacks, and vampire Since decentralized finance infrastructures are the worst affected by cyber-attacks, it is imperative to understand various security issues in different components of DeFi infrastructures and proposes measures to secure all components of DeFi infrastructures. It brings the detailed cybersecurity policies and strategies that can be used to secure financial institutions. Finally, the book provides recommendations to secure DeFi infrastructures from cyber-attacks.

James M. Stewart, CISSP, is a security expert, technical trainer, and author of numerous publications, books, and courseware. Mike Chapple, PhD, CISSP, is an IT security professional at the University of Notre Dame. He was formerly CIO of Brand Institute. Darril Gibson, Security+, CISSP, ITIL v3, is the CEO of Security Consulting and Training, LLC.

\"Facing Cyber Threats Head On explains battle against hackers as a fight between people, not technologies. Brian Minick offers a new approach to defending against cyber attacks, one that balances business risk with the cost of creating defenses that can change as quickly and often as attackers can.\"-- Provided by publisher.

Over 700,000 IT Professionals Have Prepared for Exams with Syngress Authored Study GuidesThe Security+ Study Guide & Practice Exam is a one-of-a-kind integration of text and and Web-based exam simulation and remediation.