Practical Intrusion Analysis

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  • Author : Ryan Trost
  • Publisher : Pearson Education
  • Pages : 480 pages
  • ISBN : 9780321591883
  • Rating : /5 from reviews
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Download or Read online Practical Intrusion Analysis full in PDF, ePub and kindle. this book written by Ryan Trost and published by Pearson Education which was released on 24 June 2009 with total page 480 pages. We cannot guarantee that Practical Intrusion Analysis book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. “Practical Intrusion Analysis provides a solid fundamental overview of the art and science of intrusion analysis.” –Nate Miller, Cofounder, Stratum Security The Only Definitive Guide to New State-of-the-Art Techniques in Intrusion Detection and Prevention Recently, powerful innovations in intrusion detection and prevention have evolved in response to emerging threats and changing business environments. However, security practitioners have found little reliable, usable information about these new IDS/IPS technologies. In Practical Intrusion Analysis, one of the field’s leading experts brings together these innovations for the first time and demonstrates how they can be used to analyze attacks, mitigate damage, and track attackers. Ryan Trost reviews the fundamental techniques and business drivers of intrusion detection and prevention by analyzing today’s new vulnerabilities and attack vectors. Next, he presents complete explanations of powerful new IDS/IPS methodologies based on Network Behavioral Analysis (NBA), data visualization, geospatial analysis, and more. Writing for security practitioners and managers at all experience levels, Trost introduces new solutions for virtually every environment. Coverage includes Assessing the strengths and limitations of mainstream monitoring tools and IDS technologies Using Attack Graphs to map paths of network vulnerability and becoming more proactive about preventing intrusions Analyzing network behavior to immediately detect polymorphic worms, zero-day exploits, and botnet DoS attacks Understanding the theory, advantages, and disadvantages of the latest Web Application Firewalls Implementing IDS/IPS systems that protect wireless data traffic Enhancing your intrusion detection efforts by converging with physical security defenses Identifying attackers’ “geographical fingerprints” and using that information to respond more effectively Visualizing data traffic to identify suspicious patterns more quickly Revisiting intrusion detection ROI in light of new threats, compliance risks, and technical alternatives Includes contributions from these leading network security experts: Jeff Forristal, a.k.a. Rain Forest Puppy, senior security professional and creator of libwhisker Seth Fogie, CEO, Airscanner USA; leading-edge mobile security researcher; coauthor of Security Warrior Dr. Sushil Jajodia, Director, Center for Secure Information Systems; founding Editor-in-Chief, Journal of Computer Security Dr. Steven Noel, Associate Director and Senior Research Scientist, Center for Secure Information Systems, George Mason University Alex Kirk, Member, Sourcefire Vulnerability Research Team

Practical Intrusion Analysis

Practical Intrusion Analysis
  • Author : Ryan Trost
  • Publisher : Pearson Education
  • Release : 24 June 2009
GET THIS BOOK Practical Intrusion Analysis

“Practical Intrusion Analysis provides a solid fundamental overview of the art and science of intrusion analysis.” –Nate Miller, Cofounder, Stratum Security The Only Definitive Guide to New State-of-the-Art Techniques in Intrusion Detection and Prevention Recently, powerful innovations in intrusion detection and prevention have evolved in response to emerging threats and changing business environments. However, security practitioners have found little reliable, usable information about these new IDS/IPS technologies. In Practical Intrusion Analysis, one of the field’s leading experts brings

Network Intrusion Analysis

Network Intrusion Analysis
  • Author : Joe Fichera,Steven Bolt
  • Publisher : Newnes
  • Release : 25 September 2021
GET THIS BOOK Network Intrusion Analysis

Network Intrusion Analysis addresses the entire process of investigating a network intrusion by: Providing a step-by-step guide to the tools and techniques used in the analysis and investigation of a network intrusion. Providing real-world examples of network intrusions, along with associated workarounds. Walking you through the methodology and practical steps needed to conduct a thorough intrusion investigation and incident response, including a wealth of practical, hands-on tools for incident assessment and mitigation. Network Intrusion Analysis addresses the entire process of

Network Intrusion Detection

Network Intrusion Detection
  • Author : Stephen Northcutt,Judy Novak
  • Publisher : Sams Publishing
  • Release : 25 September 2021
GET THIS BOOK Network Intrusion Detection

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.

Network Security Through Data Analysis

Network Security Through Data Analysis
  • Author : Michael Collins
  • Publisher : "O'Reilly Media, Inc."
  • Release : 08 September 2017
GET THIS BOOK Network Security Through Data Analysis

Traditional intrusion detection and logfile analysis are no longer enough to protect today’s complex networks. In the updated second edition of this practical guide, security researcher Michael Collins shows InfoSec personnel the latest techniques and tools for collecting and analyzing network traffic datasets. You’ll understand how your network is used, and what actions are necessary to harden and defend the systems within it. In three sections, this book examines the process of collecting and organizing data, various tools

Network Intrusion Detection and Prevention

Network Intrusion Detection and Prevention
  • Author : Ali A. Ghorbani,Wei Lu,Mahbod Tavallaee
  • Publisher : Springer Science & Business Media
  • Release : 10 October 2009
GET THIS BOOK Network Intrusion Detection and Prevention

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.

The Development of a Multimodal Decision Support System for Network Intrusion Detection Analysis

The Development of a Multimodal Decision Support System for Network Intrusion Detection Analysis
  • Author : Tanya Tamika Capers
  • Publisher : Unknown
  • Release : 25 September 2021
GET THIS BOOK The Development of a Multimodal Decision Support System for Network Intrusion Detection Analysis

The increasing accessibility of information and volumes of on-line transactions are a reflection of the growing number and sophistication of computer security incidents on the Internet. While an intrusion detection system may be one component of a good security model, implementing intrusion detection systems on networks and hosts requires a broad understanding of computer security, and the massive amounts of textual data retrieved by the system. Given the sensitivity of the security posture, interpretation for rapid response in maintaining operational

Analysis of Theoretical and Applied Machine Learning Models for Network Intrusion Detection

Analysis of Theoretical and Applied Machine Learning Models for Network Intrusion Detection
  • Author : Jonah Baron
  • Publisher : Unknown
  • Release : 25 September 2021
GET THIS BOOK Analysis of Theoretical and Applied Machine Learning Models for Network Intrusion Detection

Network Intrusion Detection Systems (IDS) devices play a crucial role in the realm of network security. ... Machine learning models can be trained using a combination of machine learning algorithms, network intrusion datasets, and optimization techniques. This study sought to identify which variation of these parameters yielded the best-performing network intrusion detection models, measured by their accuracy, precision, recall, and F1 score metrics. Additionally, this research aimed to validate theoretical models' metrics by applying them in a real-world environment to see

Network Traffic Anomaly Detection and Prevention

Network Traffic Anomaly Detection and Prevention
  • Author : Monowar H. Bhuyan,Dhruba K. Bhattacharyya,Jugal K. Kalita
  • Publisher : Springer
  • Release : 03 September 2017
GET THIS BOOK Network Traffic Anomaly Detection and Prevention

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,

Applied Network Security Monitoring

Applied Network Security Monitoring
  • Author : Chris Sanders,Jason Smith
  • Publisher : Elsevier
  • Release : 26 November 2013
GET THIS BOOK Applied Network Security Monitoring

Applied Network Security Monitoring is the essential guide to becoming an NSM analyst from the ground up. This book takes a fundamental approach to NSM, complete with dozens of real-world examples that teach you the key concepts of NSM. Network security monitoring is based on the principle that prevention eventually fails. In the current threat landscape, no matter how much you try, motivated attackers will eventually find their way into your network. At that point, it is your ability to

On the Application of Locality to Network Intrusion Detection

On the Application of Locality to Network Intrusion Detection
  • Author : Robert Lee
  • Publisher : Unknown
  • Release : 25 September 2021
GET THIS BOOK On the Application of Locality to Network Intrusion Detection

Keeping computer networks safe from attack requires ever-increasing vigilance. Our work on applying locality to network intrusion detection is presented in this dissertation. Network servers that allow connections from both the internal network and the Internet are vulnerable to attack from all sides. Analysis of the behavior of incoming connections for properties of locality can be used to create a normal profile for such network servers. Intrusions can then be detected due to their abnormal behavior. Data was collected from