Author: Yu-Cheng TingPublisher:
ISBN:
Category :
Languages : en
Pages : 160
Book Description
Specification-based Network Intrusion Detection Model
Author: Yu-Cheng TingNetwork Intrusion Detection and Prevention
Author: Ali A. GhorbaniPublisher: Springer Science & Business Media
ISBN: 0387887717
Category : Computers
Languages : en
Pages : 224
Book Description
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.
Recent Advances in Intrusion Detection
Author: Alfonso ValdesPublisher: Springer Science & Business Media
ISBN: 3540317783
Category : Business & Economics
Languages : en
Pages : 360
Book Description
This book constitutes the refereed proceedings of the 8th International Symposium on Recent Advances in Intrusion Detection held in September 2005. The 15 revised full papers and two practical experience reports were carefully reviewed and selected from 83 submissions. The papers are organized in topical sections on worm detection and containment, anomaly detection, intrusion prevention and response, intrusion detection based on system calls and network-based, as well as intrusion detection in mobile and wireless networks.
Applied Cryptography and Network Security
Author: Javier LópezPublisher: Springer Science & Business Media
ISBN: 364221553X
Category : Business & Economics
Languages : en
Pages : 562
Book Description
This book constitutes the refereed proceedings of the 9th International Conference on Applied Cryptography and Network Security, ACNS 2011, held in Nerja, Spain, in June 2011. The 31 revised full papers included in this volume were carefully reviewed and selected from 172 submissions. They are organized in topical sessions on malware and intrusion detection; attacks, applied crypto; signatures and friends; eclectic assortment; theory; encryption; broadcast encryption; and security services.
Lecture Notes in Real-Time Intelligent Systems
Author: Jolanta Mizera-PietraszkoPublisher: Springer
ISBN: 3319913379
Category : Technology & Engineering
Languages : en
Pages : 529
Book Description
The second volume of the book series highlights works presented at the 2nd International Conference on Real Time Intelligent Systems, held in Casablanca on October 18-20, 2017. The book offers a comprehensive, practical review of the state-of-the-art in designing and implementing real-time intelligent computing for the areas within the conference’s scope such as robotics, intelligent alert systems, IoT, remote access control, multi-agent systems, networking, mobile smart systems, crowdsourcing, broadband systems, cloud computing, streaming data and many other applications. Research in real-time computing supports decision making in dynamic environments. Some examples include ABS, FBW flight control, automatic air-conditioning, etc. Intelligent computing relies heavily on artificial intelligence (AI) to make computers act for humans. The authors are confident that the solutions discussed in this book will provide a unique source of information and inspiration for researchers working in AI, distributed coding algorithms or smart services and platforms, and for IT professionals, who can integrate the proposed methods into their practice.
Network Intrusion Detection using Deep Learning
Author: Kwangjo KimPublisher: Springer
ISBN: 9811314446
Category : Computers
Languages : en
Pages : 92
Book Description
This book presents recent advances in intrusion detection systems (IDSs) using state-of-the-art deep learning methods. It also provides a systematic overview of classical machine learning and the latest developments in deep learning. In particular, it discusses deep learning applications in IDSs in different classes: generative, discriminative, and adversarial networks. Moreover, it compares various deep learning-based IDSs based on benchmarking datasets. The book also proposes two novel feature learning models: deep feature extraction and selection (D-FES) and fully unsupervised IDS. Further challenges and research directions are presented at the end of the book. Offering a comprehensive overview of deep learning-based IDS, the book is a valuable reerence resource for undergraduate and graduate students, as well as researchers and practitioners interested in deep learning and intrusion detection. Further, the comparison of various deep-learning applications helps readers gain a basic understanding of machine learning, and inspires applications in IDS and other related areas in cybersecurity.
Intrusion Detection: A Machine Learning Approach
Author: Jeffrey J P TsaiPublisher: World Scientific
ISBN: 1908978260
Category : Computers
Languages : en
Pages : 185
Book Description
This important book introduces the concept of intrusion detection, discusses various approaches for intrusion detection systems (IDS), and presents the architecture and implementation of IDS. It emphasizes on the prediction and learning algorithms for intrusion detection and highlights techniques for intrusion detection of wired computer networks and wireless sensor networks. The performance comparison of various IDS via simulation will also be included.
Security and Resiliency Analytics for Smart Grids
Author: Ehab Al-ShaerPublisher: Springer
ISBN: 3319328719
Category : Computers
Languages : en
Pages : 156
Book Description
This book targets the key concern of protecting critical infrastructures such as smart grids. It explains various static and dynamic security analysis techniques that can automatically verify smart grid security and resiliency and identify potential attacks in a proactive manner. This book includes three main sections. The first presents the idea of formally verifying the compliance of smart grid configurations with the security and resiliency guidelines. It provides a formal framework that verifies the compliance of the advanced metering infrastructure (AMI) configurations with the security and resiliency requirements, and generates remediation plans for potential security violations. The second section covers the formal verification of the security and resiliency of smart grid control systems by using a formal model to analyze attack evasions on state estimation, a core control module of the supervisory control system in smart grids. The model identifies attack vectors that can compromise state estimation. This section also covers risk mitigation techniques that synthesize proactive security plans that make such attacks infeasible. The last part of the book discusses the dynamic security analysis for smart grids. It shows that AMI behavior can be modeled using event logs collected at smart collectors, which in turn can be verified using the specification invariants generated from the configurations of the AMI devices. Although the focus of this book is smart grid security and resiliency, the included formal analytics are generic enough to be extended to other cyber-physical systems, especially those related to industrial control systems (ICS). Therefore, industry professionals and academic researchers will find this book an exceptional resource to learn theoretical and practical aspects of applying formal methods for the protection of critical infrastructures.
Security and Privacy in Smart Sensor Networks
Author: Maleh, YassinePublisher: IGI Global
ISBN: 1522557377
Category : Computers
Languages : en
Pages : 464
Book Description
Security and privacy protection within computer networks can be a challenge. By examining the current problems and challenges this domain is facing, more efficient strategies can be established to safeguard personal information against invasive pressures. Security and Privacy in Smart Sensor Networks is a critical scholarly resource that examines recent developments and emerging trends in smart sensor security and privacy by providing new models, practical solutions, and technological advances related to security. Featuring coverage on a broad range of topics such as cloud security, encryption, and intrusion detection systems, this book is geared towards academicians, engineers, IT specialists, researchers, and students seeking current research on authentication and intrusion detection.
The Internet of Things: Breakthroughs in Research and Practice
Author: Management Association, Information ResourcesPublisher: IGI Global
ISBN: 1522518339
Category : Computers
Languages : en
Pages : 541
Book Description
The ubiquity of modern technologies has allowed for increased connectivity between people and devices across the globe. This connected infrastructure of networks creates numerous opportunities for applications and uses. The Internet of Things: Breakthroughs in Research and Practice is an authoritative reference source for the latest academic material on the interconnectivity of networks and devices in the digital era and examines best practices for integrating this advanced connectivity across multiple fields. Featuring extensive coverage on innovative perspectives, such as secure computing, regulatory standards, and trust management, this book is ideally designed for engineers, researchers, professionals, graduate students, and practitioners seeking scholarly insights on the Internet of Things.