Intrusion Detection and Correlation

Intrusion Detection and Correlation

Author: Christopher Kruegel

Publisher: Springer Science & Business Media

Published: 2005-12-29

Total Pages: 124

ISBN-13: 0387233997

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Details how intrusion detection works in network security with comparisons to traditional methods such as firewalls and cryptography Analyzes the challenges in interpreting and correlating Intrusion Detection alerts


The Tao of Network Security Monitoring

The Tao of Network Security Monitoring

Author: Richard Bejtlich

Publisher: Pearson Education

Published: 2004-07-12

Total Pages: 913

ISBN-13: 0132702045

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"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.


Intrusion Detection Systems

Intrusion Detection Systems

Author: Roberto Di Pietro

Publisher: Springer Science & Business Media

Published: 2008-06-12

Total Pages: 265

ISBN-13: 0387772669

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To defend against computer and network attacks, multiple, complementary security devices such as intrusion detection systems (IDSs), and firewalls are widely deployed to monitor networks and hosts. These various IDSs will flag alerts when suspicious events are observed. This book is an edited volume by world class leaders within computer network and information security presented in an easy-to-follow style. It introduces defense alert systems against computer and network attacks. It also covers integrating intrusion alerts within security policy framework for intrusion response, related case studies and much more.


Network Intrusion Detection and Prevention

Network Intrusion Detection and Prevention

Author: Ali A. Ghorbani

Publisher: Springer Science & Business Media

Published: 2009-10-10

Total Pages: 224

ISBN-13: 0387887717

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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 Traffic Anomaly Detection and Prevention

Network Traffic Anomaly Detection and Prevention

Author: Monowar H. Bhuyan

Publisher: Springer

Published: 2017-09-03

Total Pages: 278

ISBN-13: 3319651889

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This indispensable text/reference presents a comprehensive overview on the detection and prevention of anomalies in computer network traffic, from coverage of the fundamental theoretical concepts to in-depth analysis of systems and methods. Readers will benefit from invaluable practical guidance on how to design an intrusion detection technique and incorporate it into a system, as well as on how to analyze and correlate alerts without prior information. Topics and features: introduces the essentials of traffic management in high speed networks, detailing types of anomalies, network vulnerabilities, and a taxonomy of network attacks; describes a systematic approach to generating large network intrusion datasets, and reviews existing synthetic, benchmark, and real-life datasets; provides a detailed study of network anomaly detection techniques and systems under six different categories: statistical, classification, knowledge-base, cluster and outlier detection, soft computing, and combination learners; examines alert management and anomaly prevention techniques, including alert preprocessing, alert correlation, and alert post-processing; presents a hands-on approach to developing network traffic monitoring and analysis tools, together with a survey of existing tools; discusses various evaluation criteria and metrics, covering issues of accuracy, performance, completeness, timeliness, reliability, and quality; reviews open issues and challenges in network traffic anomaly detection and prevention. This informative work is ideal for graduate and advanced undergraduate students interested in network security and privacy, intrusion detection systems, and data mining in security. Researchers and practitioners specializing in network security will also find the book to be a useful reference.


Network Science and Cybersecurity

Network Science and Cybersecurity

Author: Robinson E. Pino

Publisher: Springer Science & Business Media

Published: 2013-06-14

Total Pages: 283

ISBN-13: 146147597X

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Network Science and Cybersecurity introduces new research and development efforts for cybersecurity solutions and applications taking place within various U.S. Government Departments of Defense, industry and academic laboratories. This book examines new algorithms and tools, technology platforms and reconfigurable technologies for cybersecurity systems. Anomaly-based intrusion detection systems (IDS) are explored as a key component of any general network intrusion detection service, complementing signature-based IDS components by attempting to identify novel attacks. These attacks may not yet be known or have well-developed signatures. Methods are also suggested to simplify the construction of metrics in such a manner that they retain their ability to effectively cluster data, while simultaneously easing human interpretation of outliers. This is a professional book for practitioners or government employees working in cybersecurity, and can also be used as a reference. Advanced-level students in computer science or electrical engineering studying security will also find this book useful .


Data Fusion Process Refinement in Intrusion Detection Alert Correlation Systems

Data Fusion Process Refinement in Intrusion Detection Alert Correlation Systems

Author: David Sheets

Publisher:

Published: 2009

Total Pages: 78

ISBN-13:

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"Computer systems are getting larger in size, contain a greater variety and volume of data, and communicate personal and confidential information, making security critical as well as making them appealing targets for malicious activities. The need to keep these systems secure has been approached from several different aspects, one of which is the employment of intrusion detection systems. An evolution of the intrusion detection system occurs in alert correlation systems, which take raw alerts from numerous sensors within a network and generate broader situational awareness by combining the individual findings of each sensor into a bigger picture state of the system. This study looks at improving the ability of an existing alert correlation system to pull all the relevant pieces of an intrusion into that picture in order to further reduce the output, enabling quicker analysis by a system administrator. Through experimentation and analysis, the benefits of utilizing the look-ahead system have demonstrated an ability to decrease the total number of alerts in the system, thereby reducing the work-load of system administrators by increasing the ability of the system to reduce the overall number of alerts the administrator must analyze."--Abstract.


Advances in Artificial Intelligence

Advances in Artificial Intelligence

Author: Sabine Bergler

Publisher: Springer

Published: 2008-05-20

Total Pages: 391

ISBN-13: 3540688250

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This book constitutes the refereed proceedings of the 21st Conference of the Canadian Society for Computational Studies of Intelligence, Canadian AI 2008, held in Windsor, Canada, in May 2008. The 30 revised full papers presented together with 5 revised short papers were carefully reviewed and selected from 75 submissions. The papers present original high-quality research in all areas of Artificial Intelligence and apply historical AI techniques to modern problem domains as well as recent techniques to historical problem settings.