Download Full eBooks in PDF
Intrusion Detection Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Intrusion Detection book. This book definitely worth reading, it is an incredibly well-written.
Author : Rebecca Gurley Bace
Publisher : Sams Publishing
Page : 384 pages
File Size : 53,5 Mb
Release : 2000
Category : Computers
ISBN : 1578701856
On computer security
Author : Zhenwei Yu,Jeffrey J.-P. Tsai
Publisher : World Scientific
Page : 185 pages
File Size : 48,7 Mb
Release : 2011
Category : Computers
ISBN : 9781848164475
Introduces the concept of intrusion detection, discusses various approaches for intrusion detection systems (IDS), and presents the architecture and implementation of IDS. This title also includes the performance comparison of various IDS via simulation.
Author : Ali A. Ghorbani,Wei Lu,Mahbod Tavallaee
Publisher : Springer Science & Business Media
Page : 224 pages
File Size : 53,6 Mb
Release : 2009-10-10
Category : Computers
ISBN : 9780387887715
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.
Author : Gupta, Brij B.,Srinivasagopalan, Srivathsan
Publisher : IGI Global
Page : 407 pages
File Size : 46,8 Mb
Release : 2020-02-07
Category : Computers
ISBN : 9781799822431
Businesses in today’s world are adopting technology-enabled operating models that aim to improve growth, revenue, and identify emerging markets. However, most of these businesses are not suited to defend themselves from the cyber risks that come with these data-driven practices. To further prevent these threats, they need to have a complete understanding of modern network security solutions and the ability to manage, address, and respond to security breaches. The Handbook of Research on Intrusion Detection Systems provides emerging research exploring the theoretical and practical aspects of prominent and effective techniques used to detect and contain breaches within the fields of data science and cybersecurity. Featuring coverage on a broad range of topics such as botnet detection, cryptography, and access control models, this book is ideally designed for security analysts, scientists, researchers, programmers, developers, IT professionals, scholars, students, administrators, and faculty members seeking research on current advancements in network security technology.
Author : Christopher Kruegel,Fredrik Valeur,Giovanni Vigna
Publisher : Springer Science & Business Media
Page : 124 pages
File Size : 44,6 Mb
Release : 2005-12-29
Category : Computers
ISBN : 9780387233994
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
Author : Edward G. Amoroso
Publisher : Unknown
Page : 224 pages
File Size : 45,8 Mb
Release : 1999
Category : Computers
ISBN : 0966670078
Author : Roberto Di Pietro,Luigi V. Mancini
Publisher : Springer Science & Business Media
Page : 265 pages
File Size : 53,6 Mb
Release : 2008-06-12
Category : Computers
ISBN : 9780387772660
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.
Author : Georgios Kambourakis,Asaf Shabtai,Constantinos Kolias,Dimitrios Damopoulos
Publisher : CRC Press
Page : 544 pages
File Size : 54,8 Mb
Release : 2017-09-06
Category : Computers
ISBN : 9781315305820
This book presents state-of-the-art contributions from both scientists and practitioners working in intrusion detection and prevention for mobile networks, services, and devices. It covers fundamental theory, techniques, applications, as well as practical experiences concerning intrusion detection and prevention for the mobile ecosystem. It also includes surveys, simulations, practical results and case studies.
Author : Alfonso Valdes
Publisher : Springer Science & Business Media
Page : 360 pages
File Size : 51,6 Mb
Release : 2006-02-03
Category : Business & Economics
ISBN : 9783540317784
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.
Author : Ulrich Flegel
Publisher : Springer Science & Business Media
Page : 304 pages
File Size : 51,8 Mb
Release : 2007-08-28
Category : Computers
ISBN : 9780387682549
Effective response to misuse or abusive activity in IT systems requires the capability to detect and understand improper activity. Intrusion Detection Systems observe IT activity, record these observations in audit data, and analyze the collected audit data to detect misuse. Privacy-Respecting Intrusion Detection introduces the concept of technical purpose binding, which restricts the linkability of pseudonyms in audit data to the amount necessary for misuse detection. Also, it limits the recovery of personal data to pseudonyms involved in a detected misuse scenario. The book includes case studies demonstrating this theory, and solutions that are constructively validated by providing algorithms.
Author : Carl Endorf,Eugene Schultz,Jim Mellander
Publisher : McGraw-Hill/Osborne Media
Page : 432 pages
File Size : 47,9 Mb
Release : 2004
Category : Computers
ISBN : UOM:39015061151521
This volume covers the most popular intrusion detection tools including Internet Security Systems' Black ICE and RealSecurity, Cisco Systems' Secure IDS and Entercept, Computer Associates' eTrust and the open source tool Snort.
Author : Kerry J. Cox,Christopher Gerg
Publisher : "O'Reilly Media, Inc."
Page : 291 pages
File Size : 46,5 Mb
Release : 2004-08-02
Category : Computers
ISBN : 9780596552435
Intrusion detection is not for the faint at heart. But, if you are a network administrator chances are you're under increasing pressure to ensure that mission-critical systems are safe--in fact impenetrable--from malicious code, buffer overflows, stealth port scans, SMB probes, OS fingerprinting attempts, CGI attacks, and other network intruders.Designing a reliable way to detect intruders before they get in is a vital but daunting challenge. Because of this, a plethora of complex, sophisticated, and pricy software solutions are now available. In terms of raw power and features, SNORT, the most commonly used Open Source Intrusion Detection System, (IDS) has begun to eclipse many expensive proprietary IDSes. In terms of documentation or ease of use, however, SNORT can seem overwhelming. Which output plugin to use? How do you to email alerts to yourself? Most importantly, how do you sort through the immense amount of information Snort makes available to you?Many intrusion detection books are long on theory but short on specifics and practical examples. Not Managing Security with Snort and IDS Tools. This new book is a thorough, exceptionally practical guide to managing network security using Snort 2.1 (the latest release) and dozens of other high-quality open source other open source intrusion detection programs.Managing Security with Snort and IDS Tools covers reliable methods for detecting network intruders, from using simple packet sniffers to more sophisticated IDS (Intrusion Detection Systems) applications and the GUI interfaces for managing them. A comprehensive but concise guide for monitoring illegal entry attempts, this invaluable new book explains how to shut down and secure workstations, servers, firewalls, routers, sensors and other network devices.Step-by-step instructions are provided to quickly get up and running with Snort. Each chapter includes links for the programs discussed, and additional links at the end of the book give administrators access to numerous web sites for additional information and instructional material that will satisfy even the most serious security enthusiasts.Managing Security with Snort and IDS Tools maps out a proactive--and effective--approach to keeping your systems safe from attack.
Author : Giovanni Vigna,Erland Jonsson,Christopher Kruegel
Publisher : Springer Science & Business Media
Page : 248 pages
File Size : 53,9 Mb
Release : 2003-09-02
Category : Business & Economics
ISBN : 9783540408789
This book constitutes the refereed proceedings of the 6th International Symposium on Recent Advances in Intrusion Detection, RAID 2003, held in Pittsburgh, PA, USA in September 2003. The 13 revised full papers presented were carefully reviewed and selected from 44 submissions. The papers are organized in topical sections on network infrastructure, anomaly detection, modeling and specification, and IDS sensors.
Author : Zhenwei Yu,Jeffrey J P Tsai
Publisher : World Scientific
Page : 184 pages
File Size : 41,9 Mb
Release : 2011-01-03
Category : Computers
ISBN : 9781908978264
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. Contents: Attacks and Countermeasures in Computer SecurityMachine Learning MethodsIntrusion Detection SystemTechniques for Intrusion DetectionAdaptive Automatically Tuning Intrusion Detection SystemSystem Prototype and Performance EvaluationAttacks Against Wireless Sensor NetworkIntrusion Detection System for Wireless Sensor NetworkConclusion and Future Research Readership: Academicians, researchers and graduate students in software engineering/programming; computer engineering, knowledge and system engineering. Keywords:Intrusion;Detection;Machine Learning;Computer Network;Sensor Network;Computer SecurityKey Features:Discusses attacks and countermeasures in computer securityPresents state-of-the-art intrusion detection researchDescribes adaptive automatically tuning intrusion detection for wired networks
Author : Yihua Liao
Publisher : Unknown
Page : 230 pages
File Size : 44,9 Mb
Release : 2005
Category : Electronic
ISBN : UCAL:X70931
Detection of anomalies in data is one of the fundamental machine learning tasks. Anomaly detection provides the core technology for a broad spectrum of security-centric applications. In this dissertation, we examine various aspects of anomaly based intrusion detection in computer security. First, we present a new approach to learn program behavior for intrusion detection. Text categorization techniques are adopted to convert each process to a vector and calculate the similarity between two program activities. Then the k-nearest neighbor classifier is employed to classify program behavior as normal or intrusive. We demonstrate that our approach is able to effectively detect intrusive program behavior while a low false positive rate is achieved. Second, we describe an adaptive anomaly detection framework that is de- signed to handle concept drift and online learning for dynamic, changing environments. Through the use of unsupervised evolving connectionist systems, normal behavior changes are efficiently accommodated while anomalous activities can still be recognized. We demonstrate the performance of our adaptive anomaly detection systems and show that the false positive rate can be significantly reduced.