The State of the Art in Intrusion Prevention and Detection
The State of the Art in Intrusion Prevention and Detection analyzes the latest trends and issues surrounding intrusion detection systems in computer networks, especially in communications networks. Its broad scope of coverage includes wired, wireless, and mobile networks; next-generation converged networks; and intrusion in social networks.
Presenting cutting-edge research, the book presents novel schemes for intrusion detection and prevention. It discusses tracing back mobile attackers, secure routing with intrusion prevention, anomaly detection, and AI-based techniques. It also includes information on physical intrusion in wired and wireless networks and agent-based intrusion surveillance, detection, and prevention. The book contains 19 chapters written by experts from 12 different countries that provide a truly global perspective.
The text begins by examining traffic analysis and management for intrusion detection systems. It explores honeypots, honeynets, network traffic analysis, and the basics of outlier detection. It talks about different kinds of IDSs for different infrastructures and considers new and emerging technologies such as smart grids, cyber physical systems, cloud computing, and hardware techniques for high performance intrusion detection.
The book covers artificial intelligence-related intrusion detection techniques and explores intrusion tackling mechanisms for various wireless systems and networks, including wireless sensor networks, WiFi, and wireless automation systems. Containing some chapters written in a tutorial style, this book is an ideal reference for graduate students, professionals, and researchers working in the field of computer and network security.
NETWORK TRAFFIC ANALYSIS AND MANAGEMENT FOR IDS
Outlier Detection; Mohiuddin Ahmed, Abdun Naser Mahmood, and Jiankun Hu
Network Traffic Monitoring and Analysis; Jeferson Wilian de Godoy Stenico and Lee Luan Ling
Using Routers and Honeypots in Combination for Collecting Internet Worm Attacks; Mohssen Mohammed and Al-Sakib Khan Pathan
Attack Severity–Based Honeynet Management Framework; Asit More and Shashikala Tapaswi
IDS ISSUES FOR DIFFERENT INFRASTRUCTURES
Intrusion Detection Systems for Critical Infrastructure; Bernardi Pranggono, Kieran McLaughlin, Yi Yang, and Sakir Sezer
Cyber Security of Smart Grid Infrastructure; Adnan Anwar and Abdun Naser Mahmood
Intrusion Detection and Prevention in Cyber Physical Systems; Mohamed Azab and Mohamed Eltoweissy
Encrypted Ranked Proximity and Phrase Searching in the Cloud; Steven Zittrower and Cliff C. Zou
Intrusion Detection for SCADA Systems; Alaa Atassi, Imad H. Elhajj, Ali Chehab, and Ayman Kayssi
Hardware Techniques for High-Performance Network Intrusion Detection; Weirong Jiang and Viktor K. Prasanna
ARTIFICIAL INTELLIGENCE TECHNIQUES FOR IDS
New Unknown Attack Detection with the Neural Network–Based IDS; Przemysław Kukiełka and Zbigniew Kotulski
Artificial Intelligence-Based Intrusion Detection Techniques; Zahra Jadidi, Vallipuram Muthukkumarasamy, and Elankayer Sithirasenan
Applications of Machine Learning in Intrusion Detection; Yuxin Meng, Yang Xiang, and Lam-For Kwok
IDS FOR WIRELESS SYSTEMS
Introduction to Wireless Intrusion Detection Systems; Jonny Milliken
Cross Layer–Based Intrusion Detection Techniques in Wireless Networks: A Survey; Subir Halder and Amrita Ghosal
Intrusion Detection System Architecture for Wireless Sensor Network; Mohammad Saiful Islam Mamun
Unique Challenges in WiFi Intrusion Detection; Jonny Milliken
Intrusion Detection Systems for (Wireless) Automation Systems; Jana Krimmling and Peter Langendoerfer
An Innovative Approach of Blending Security Features in Energy-Efficient Routing for a Crowded Network of Wireless Sensors; Al-Sakib Khan Pathan and Tarem Ahmed