Network Intrusion Detection

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Network Intrusion Detection And Prevention

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Author : Ali A. Ghorbani
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-10-10

Network Intrusion Detection And Prevention written by Ali A. Ghorbani and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-10-10 with Computers categories.

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.

Network Intrusion Detection

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Author : Stephen Northcutt
language : en
Publisher: Sams Publishing
Release Date : 2002

Network Intrusion Detection written by Stephen Northcutt and has been published by Sams Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Computers categories.

This book is a training aid and reference for intrusion detection analysts. While the authors refer to research and theory, they focus their attention on providing practical information. New to this edition is coverage of packet dissection, IP datagram fields, forensics, and snort filters.

Study Guide To Network Intrusion Detection

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Author : Cybellium
language : en
Publisher: Cybellium Ltd
Release Date : 2024-10-26

Study Guide To Network Intrusion Detection written by Cybellium and has been published by Cybellium Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-26 with Computers categories.

Designed for professionals, students, and enthusiasts alike, our comprehensive books empower you to stay ahead in a rapidly evolving digital world. * Expert Insights: Our books provide deep, actionable insights that bridge the gap between theory and practical application. * Up-to-Date Content: Stay current with the latest advancements, trends, and best practices in IT, Al, Cybersecurity, Business, Economics and Science. Each guide is regularly updated to reflect the newest developments and challenges. * Comprehensive Coverage: Whether you're a beginner or an advanced learner, Cybellium books cover a wide range of topics, from foundational principles to specialized knowledge, tailored to your level of expertise. Become part of a global network of learners and professionals who trust Cybellium to guide their educational journey. www.cybellium.com

Network Intrusion Detection

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Author : Stephen Northcutt
language : en
Publisher: New Riders Publishing
Release Date : 2001

Network Intrusion Detection written by Stephen Northcutt and has been published by New Riders Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Computers categories.

Intrusion detection is one of the hottest growing areas of network security. As the number of corporate, government, and educational networks grow and as they become more and more interconnected through the Internet, there is a correlating increase in the types and numbers of attacks to penetrate those networks. Intrusion Detection, Second Edition is a training aid and reference for intrusion detection analysts. This book is meant to be practical. The authors are literally the most recognized names in this specialized field, with unparalleled experience in defending our country s government and military computer networks. People travel from all over the world to hear them speak, and this book will be a distillation of that experience. The book's approach is to introduce and ground topics through actual traffic patterns. The authors have been through the trenches and give you access to unusual and unique data.

Network Intrusion Detection Using Deep Learning

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Author : Kwangjo Kim
language : en
Publisher: Springer
Release Date : 2018-09-25

Network Intrusion Detection Using Deep Learning written by Kwangjo Kim and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-25 with Computers categories.

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.

Network Anomaly Detection

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Author : Dhruba Kumar Bhattacharyya
language : en
Publisher: CRC Press
Release Date : 2013-06-18

Network Anomaly Detection written by Dhruba Kumar Bhattacharyya and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-18 with Computers categories.

With the rapid rise in the ubiquity and sophistication of Internet technology and the accompanying growth in the number of network attacks, network intrusion detection has become increasingly important. Anomaly-based network intrusion detection refers to finding exceptional or nonconforming patterns in network traffic data compared to normal behavior. Finding these anomalies has extensive applications in areas such as cyber security, credit card and insurance fraud detection, and military surveillance for enemy activities. Network Anomaly Detection: A Machine Learning Perspective presents machine learning techniques in depth to help you more effectively detect and counter network intrusion. In this book, you’ll learn about: Network anomalies and vulnerabilities at various layers The pros and cons of various machine learning techniques and algorithms A taxonomy of attacks based on their characteristics and behavior Feature selection algorithms How to assess the accuracy, performance, completeness, timeliness, stability, interoperability, reliability, and other dynamic aspects of a network anomaly detection system Practical tools for launching attacks, capturing packet or flow traffic, extracting features, detecting attacks, and evaluating detection performance Important unresolved issues and research challenges that need to be overcome to provide better protection for networks Examining numerous attacks in detail, the authors look at the tools that intruders use and show how to use this knowledge to protect networks. The book also provides material for hands-on development, so that you can code on a testbed to implement detection methods toward the development of your own intrusion detection system. It offers a thorough introduction to the state of the art in network anomaly detection using machine learning approaches and systems.

Network Intrusion Detection System For Detecting Unknown Network Attacks Using Machine Learning Methods

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Author : Saif Mohammad Yousef Alzubi
language : en
Publisher:
Release Date : 2022

Network Intrusion Detection System For Detecting Unknown Network Attacks Using Machine Learning Methods written by Saif Mohammad Yousef Alzubi and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with categories.

Building A Network Intrusion Detection System

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Author :
language : sv
Publisher:
Release Date : 2000

Building A Network Intrusion Detection System written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with categories.

The Tao Of Network Security Monitoring

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Author : Richard Bejtlich
language : en
Publisher: Pearson Education
Release Date : 2004-07-12

The Tao Of Network Security Monitoring written by Richard Bejtlich and has been published by Pearson Education this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-07-12 with Computers categories.

"The book you are about to read will arm you with the knowledge you need to defend your network from attackers—both the obvious and the not so obvious.... If you are new to network security, don't put this book back on the shelf! This is a great book for beginners and I wish I had access to it many years ago. If you've learned the basics of TCP/IP protocols and run an open source or commercial IDS, you may be asking 'What's next?' If so, this book is for you." —Ron Gula, founder and CTO, Tenable Network Security, from the Foreword "Richard Bejtlich has a good perspective on Internet security—one that is orderly and practical at the same time. He keeps readers grounded and addresses the fundamentals in an accessible way." —Marcus Ranum, TruSecure "This book is not about security or network monitoring: It's about both, and in reality these are two aspects of the same problem. You can easily find people who are security experts or network monitors, but this book explains how to master both topics." —Luca Deri, ntop.org "This book will enable security professionals of all skill sets to improve their understanding of what it takes to set up, maintain, and utilize a successful network intrusion detection strategy." —Kirby Kuehl, Cisco Systems Every network can be compromised. There are too many systems, offering too many services, running too many flawed applications. No amount of careful coding, patch management, or access control can keep out every attacker. If prevention eventually fails, how do you prepare for the intrusions that will eventually happen? Network security monitoring (NSM) equips security staff to deal with the inevitable consequences of too few resources and too many responsibilities. NSM collects the data needed to generate better assessment, detection, and response processes—resulting in decreased impact from unauthorized activities. In The Tao of Network Security Monitoring , Richard Bejtlich explores the products, people, and processes that implement the NSM model. By focusing on case studies and the application of open source tools, he helps you gain hands-on knowledge of how to better defend networks and how to mitigate damage from security incidents. Inside, you will find in-depth information on the following areas. The NSM operational framework and deployment considerations. How to use a variety of open-source tools—including Sguil, Argus, and Ethereal—to mine network traffic for full content, session, statistical, and alert data. Best practices for conducting emergency NSM in an incident response scenario, evaluating monitoring vendors, and deploying an NSM architecture. Developing and applying knowledge of weapons, tactics, telecommunications, system administration, scripting, and programming for NSM. The best tools for generating arbitrary packets, exploiting flaws, manipulating traffic, and conducting reconnaissance. Whether you are new to network intrusion detection and incident response, or a computer-security veteran, this book will enable you to quickly develop and apply the skills needed to detect, prevent, and respond to new and emerging threats.

Network Intrusion Detection System Using String Matching

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Author :
language : en
Publisher:
Release Date :

Network Intrusion Detection System Using String Matching written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.

Network intrusion detection system is a retrofit approach for providing a sense of security in existing computers and data networks, while allowing them to operate in their current open mode. The goal of a network intrusion detection system is to identify, preferably in real time, unauthorized use, misuse and abuse of computer systems by insiders as well as from outside perpetrators. At the heart of every network intrusion detection system is packet inspection which employs nothing but string matching. This string matching is the bottleneck of performance for the whole network intrusion detection system. Thus, the need to increase the performance of string matching cannot be more exemplified. In this project, we have studied some of the standard string matching algorithms and implemented them. We have then compared the performance of the various algorithms with varying input sizes. The main focus of the project was the Aho-Corasick algorithm. In addition to using the default implementation of suffix trees, we have used a dense hash set and a sparse hash set implementation- which are libraries from the Google code repository- and we show that the performance for these implementations are better. They give noticeable enhancement in performance when the input size increases.