Handbook Of Research On Intrusion Detection Systems

Businesses in today’s world are adopting technology-enabled operating models that aim to improve growth, revenue, and identify emerging markets. However, most of these businesses are not suited to defend themselves from the cyber risks that come with these data-driven practices. To further prevent these threats, they need to have a complete understanding of modern network security solutions and the ability to manage, address, and respond to security breaches. The Handbook of Research on Intrusion Detection Systems provides emerging research exploring the theoretical and practical aspects of prominent and effective techniques used to detect and contain breaches within the fields of data science and cybersecurity. Featuring coverage on a broad range of topics such as botnet detection, cryptography, and access control models, this book is ideally designed for security analysts, scientists, researchers, programmers, developers, IT professionals, scholars, students, administrators, and faculty members seeking research on current advancements in network security technology.

The definitive guide to understanding, selecting, and deploying intrusion detection in the enterprise! Product selection, planning, and operations Filled with real-life cases and stories of intrusion detection systems in action Covers host-based and network-based intrusion detection Foreword by Dorothy Denning, author of "Cryptography and Data Security" and "Information Warfare and Security" Technical Edit by Ira Winkler, author of "Corporate Espionage" In "The Practical Intrusion Detection Handbook," one of the field's leading experts shows exactly how to detect, deter, and respond to security threats using intrusion detection systems. Using real-world case studies and practical checklists, Paul E. Proctor shows what intrusion detection software can achieve, and how to integrate it into a comprehensive strategy for protecting information and e-commerce assets. No other guide to intrusion detection offers all this: Practical coverage of host-based, network-based, and hybrid solutions Detailed selection criteria and sample RFPs Key factors associated with successful deployment Intrusion detection in action: response, surveillance, damage assessment, data forensics, and beyond Six myths of intrusion detection and the realities Whether you're a senior IT decision-maker, system administrator, or infosecurity specialist, intrusion detection is a key weapon in your security arsenal. Now, there's a start-to-finish guide to making the most of it: "The Practical Intrusion Detection Handbook" by Paul E. Proctor. "Intrusion detection has gone from a theoretical concept to a practical solution, from a research dream to a major product area, from an idea worthy of study to a key element of the national plan for cyber defense. . . Nobody brought that about more than Paul Proctor. . . Paul brings his considerable knowledge and experience with commercial intrusion detection products to this first-of-a-kind book."

Intelligent technologies have emerged as imperative tools in computer science and information security. However, advanced computing practices have preceded new methods of attacks on the storage and transmission of data. Developing approaches such as image processing and pattern recognition are susceptible to breaches in security. Modern protection methods for these innovative techniques require additional research. The Handbook of Research on Intelligent Data Processing and Information Security Systems provides emerging research exploring the theoretical and practical aspects of cyber protection and applications within computer science and telecommunications. Special attention is paid to data encryption, steganography, image processing, and recognition, and it targets professionals who want to improve their knowledge in order to increase strategic capabilities and organizational effectiveness. As such, this book is ideal for analysts, programmers, computer engineers, software engineers, mathematicians, data scientists, developers, IT specialists, academicians, researchers, and students within fields of information technology, information security, robotics, artificial intelligence, image processing, computer science, and telecommunications.

On computer security

Data collection allows today’s businesses to cater to each customer’s individual needs and provides a necessary edge in a competitive market. However, any breach in confidentiality can cause serious consequences for both the consumer and the company. The Handbook of Research on Emerging Developments in Data Privacy brings together new ideas on how to deal with potential leaks of valuable customer information. Highlighting the legal aspects of identity protection, trust and security, and detection techniques, this comprehensive work is a valuable resource for any business, legal, or technology professional looking to improve information security within their organization.

The artificial intelligence subset machine learning has become a popular technique in professional fields as many are finding new ways to apply this trending technology into their everyday practices. Two fields that have majorly benefited from this are pattern recognition and information security. The ability of these intelligent algorithms to learn complex patterns from data and attain new performance techniques has created a wide variety of uses and applications within the data security industry. There is a need for research on the specific uses machine learning methods have within these fields, along with future perspectives. The Handbook of Research on Machine Learning Techniques for Pattern Recognition and Information Security is a collection of innovative research on the current impact of machine learning methods within data security as well as its various applications and newfound challenges. While highlighting topics including anomaly detection systems, biometrics, and intrusion management, this book is ideally designed for industrial experts, researchers, IT professionals, network developers, policymakers, computer scientists, educators, and students seeking current research on implementing machine learning tactics to enhance the performance of information security.

Provides research on security issues in various wireless communications, recent advances in wireless security, the wireless security model, and future directions in wireless security.

Network Intrusion Detection and Prevention: Concepts and Techniques provides detailed and concise information on different types of attacks, theoretical foundation of attack detection approaches, implementation, data collection, evaluation, and intrusion response. Additionally, it provides an overview of some of the commercially/publicly available intrusion detection and response systems. On the topic of intrusion detection system it is impossible to include everything there is to say on all subjects. However, we have tried to cover the most important and common ones. Network Intrusion Detection and Prevention: Concepts and Techniques is designed for researchers and practitioners in industry. This book is suitable for advanced-level students in computer science as a reference book as well.