Download or read book Network Traffic Anomaly Detection and Prevention written by Monowar H. Bhuyan and published by Springer. This book was released on 2017-09-03 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Network Anomaly Detection written by Dhruba Kumar Bhattacharyya and published by CRC Press. This book was released on 2013-06-18 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 behavi

Download or read book Network Intrusion Detection and Prevention written by Ali A. Ghorbani and published by Springer Science & Business Media. This book was released on 2009-10-10 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Network Anomaly Detection written by Jugal Kalita and published by . This book was released on 2013 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Privacy Intrusion Detection and Response Technologies for Protecting Networks written by Kabiri, Peyman and published by IGI Global. This book was released on 2011-10-31 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: Though network security has almost always been about encryption and decryption, the field of network security is moving towards securing the network environment rather than just stored or transferred data. Privacy, Intrusion Detection and Response: Technologies for Protecting Networks explores the latest practices and research works in the area of privacy, intrusion detection, and response. Increased interest on intrusion detection together with prevention and response proves that protecting data either in the storage or during transfer is necessary, but not sufficient, for the security of a network. This book discusses the latest trends and developments in network security and privacy, and serves as a vital reference for researchers, academics, and practitioners working in the field of privacy, intrusion detection, and response.

Download or read book Anomaly Detection in Network Traffic written by Anup Bhange and published by LAP Lambert Academic Publishing. This book was released on 2012 with total page 92 pages. Available in PDF, EPUB and Kindle. Book excerpt: A worldwide Internet usage growth rate of 380% larger than the period from 2000, the year of the dot-com bubble burst, until present indicates that Internet technology has become a foundation of our daily life. In the same period, cyber-crime has seen an incredible that makes sophisticated protection device for computers and networks an absolute necessity. Firewalls as the major defense of the last decade do not give sufficient protection anymore. This fact has given rise to the expansion of intrusion detection and prevention systems. Traditional intrusion detection systems are hasty in the sense that they use a set of signatures, which raise at the same rate as new technique are discovered, to identify malicious traffic patterns. Anomaly detection systems are another branch of intrusion detection systems that act more proactively. They get a model of the normal system performance and issue alerts whenever the behavior changes; making an appropriate assumption that such changes are frequently caused by malicious or disruptive events. Anomaly detection has been a ground of exhaustive research over the last years as it poses several challenging problems.

Download or read book Anomaly Detection as a Service written by Danfeng (Daphne)Yao and published by Springer Nature. This book was released on 2022-06-01 with total page 157 pages. Available in PDF, EPUB and Kindle. Book excerpt: Anomaly detection has been a long-standing security approach with versatile applications, ranging from securing server programs in critical environments, to detecting insider threats in enterprises, to anti-abuse detection for online social networks. Despite the seemingly diverse application domains, anomaly detection solutions share similar technical challenges, such as how to accurately recognize various normal patterns, how to reduce false alarms, how to adapt to concept drifts, and how to minimize performance impact. They also share similar detection approaches and evaluation methods, such as feature extraction, dimension reduction, and experimental evaluation. The main purpose of this book is to help advance the real-world adoption and deployment anomaly detection technologies, by systematizing the body of existing knowledge on anomaly detection. This book is focused on data-driven anomaly detection for software, systems, and networks against advanced exploits and attacks, but also touches on a number of applications, including fraud detection and insider threats. We explain the key technical components in anomaly detection workflows, give in-depth description of the state-of-the-art data-driven anomaly-based security solutions, and more importantly, point out promising new research directions. This book emphasizes on the need and challenges for deploying service-oriented anomaly detection in practice, where clients can outsource the detection to dedicated security providers and enjoy the protection without tending to the intricate details.

Download or read book The InfoSec Handbook written by Umesha Nayak and published by Apress. This book was released on 2014-09-17 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: The InfoSec Handbook offers the reader an organized layout of information that is easily read and understood. Allowing beginners to enter the field and understand the key concepts and ideas, while still keeping the experienced readers updated on topics and concepts. It is intended mainly for beginners to the field of information security, written in a way that makes it easy for them to understand the detailed content of the book. The book offers a practical and simple view of the security practices while still offering somewhat technical and detailed information relating to security. It helps the reader build a strong foundation of information, allowing them to move forward from the book with a larger knowledge base. Security is a constantly growing concern that everyone must deal with. Whether it’s an average computer user or a highly skilled computer user, they are always confronted with different security risks. These risks range in danger and should always be dealt with accordingly. Unfortunately, not everyone is aware of the dangers or how to prevent them and this is where most of the issues arise in information technology (IT). When computer users do not take security into account many issues can arise from that like system compromises or loss of data and information. This is an obvious issue that is present with all computer users. This book is intended to educate the average and experienced user of what kinds of different security practices and standards exist. It will also cover how to manage security software and updates in order to be as protected as possible from all of the threats that they face.

Download or read book Statistical Techniques for Network Security Modern Statistically Based Intrusion Detection and Protection written by Wang, Yun and published by IGI Global. This book was released on 2008-10-31 with total page 476 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides statistical modeling and simulating approaches to address the needs for intrusion detection and protection. Covers topics such as network traffic data, anomaly intrusion detection, and prediction events.

Download or read book The State of the Art in Intrusion Prevention and Detection written by Al-Sakib Khan Pathan and published by CRC Press. This book was released on 2014-01-29 with total page 516 pages. Available in PDF, EPUB and Kindle. Book excerpt: The State of the Art in Intrusion Prevention and Detection analyzes the latest trends and issues surrounding intrusion detection systems in computer networks, especially in communications networks. Its broad scope of coverage includes wired, wireless, and mobile networks; next-generation converged networks; and intrusion in social networks. Presenting cutting-edge research, the book presents novel schemes for intrusion detection and prevention. It discusses tracing back mobile attackers, secure routing with intrusion prevention, anomaly detection, and AI-based techniques. It also includes information on physical intrusion in wired and wireless networks and agent-based intrusion surveillance, detection, and prevention. The book contains 19 chapters written by experts from 12 different countries that provide a truly global perspective. The text begins by examining traffic analysis and management for intrusion detection systems. It explores honeypots, honeynets, network traffic analysis, and the basics of outlier detection. It talks about different kinds of IDSs for different infrastructures and considers new and emerging technologies such as smart grids, cyber physical systems, cloud computing, and hardware techniques for high performance intrusion detection. The book covers artificial intelligence-related intrusion detection techniques and explores intrusion tackling mechanisms for various wireless systems and networks, including wireless sensor networks, WiFi, and wireless automation systems. Containing some chapters written in a tutorial style, this book is an ideal reference for graduate students, professionals, and researchers working in the field of computer and network security.

Download or read book Network Traffic Anomaly Detection Using Modified Hidden Markov Model written by and published by . This book was released on 2019 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the growing number of attacks and malicious threats on the Internet services and network infrastructures, the need for techniques to identity and detect attacks is increasing. Therefore, using machine learning techniques along traditional security mechanisms such as firewall and cryptography, can improve the performance of intrusion detection systems (IDSs). Network anomaly detection has become a very important area for both industrial application and academic research in the recent years. It is involved widely in a broad spectrum of domains and many research areas. Detection anomalies (attacks are detected as anomalies) in data is a crucial problem to diverse real-world applications. The goal of anomaly detection is to identify anomalous behavior, events based on deviations from expected normal usage. Hidden Markov Models (HMM) have been applied to anomaly detection since 1996. The previous researches applying HMM were limited to small data sets. In our work, we have used the term anomaly detection to describe the process of differentiating abnormal behavior from normal behavior on datasets available in this study. In this dissertation, we describe our research contributions for detecting anomalous patterns in network traffic data using HMM. We built HMM correlates the observation sequences and state transitions to predict the most probable intrusion state sequences that are capable of reducing false positive rate.

Download or read book An Analysis of Anomaly Detection in Network Traffic and Role of Wavelets written by Gagandeep Kaur and published by . This book was released on 2010 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Detection of anomalies in today's world is a cumbersome task due to highly dynamic nature of intrusions. The traditional practices of Network Anomaly Detection (NAD) fail to detect and identify the dynamic intrusions in real times. They are based on patterns initially saved in database. Large number of tools exists in open source as well as commercial market, but fast and accurate detection and identification of anomalies still remains a gruesome task. In the past few years signal processing techniques have found applications in Network Intrusion Detection (NID) Systems due to their efficiency in tracing out deviations as well as transformations in the network traffic data. Any Intrusion Detection System (IDS) needs excellent visualization of obtained results so as to provide network administrator good information in the least possible time. This survey explains the main techniques known in the field of statistical-based and wavelet-based anomaly detection approaches and focuses on the role of data traffic visualization tools in network traffic anomaly detection.

Download or read book Intrusion Detection Prevention written by Carl Endorf and published by McGraw-Hill/Osborne Media. This book was released on 2004 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Recent Advances in Intrusion Detection written by Richard Lippmann and published by Springer. This book was released on 2008-09-18 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: On behalf of the Program Committee, it is our pleasure to present the p- ceedings of the 11th International Symposium on Recent Advances in Intrusion Detection (RAID 2008), which took place in Cambridge, Massachusetts, USA on September 15–17. The symposium brought together leading researchers and practitioners from academia, government and industry to discuss intrusion detection research and practice. There were six main sessions presenting full-?edged research papers (rootkit prevention, malware detection and prevention, high performance - trusion and evasion, web application testing and evasion, alert correlation and worm detection, and anomaly detection and network tra?c analysis), a session ofpostersonemergingresearchareasandcasestudies,andtwopaneldiscussions (“Government Investments: Successes, Failures and the Future” and “Life after Antivirus - What Does the Future Hold?”). The RAID 2008 Program Committee received 80 paper submissions from all over the world. All submissions were carefully reviewed by at least three independent reviewers on the basis of space, topic, technical assessment, and overallbalance.FinalselectiontookplaceattheProgramCommitteemeetingon May 23rd in Cambridge, MA. Twenty papers were selected for presentation and publication in the conference proceedings, and four papers were recommended for resubmission as poster presentations. As a new feature this year, the symposium accepted submissions for poster presentations,whichhavebeen publishedas extendedabstracts,reportingear- stageresearch,demonstrationofapplications,orcasestudies.Thirty-nineposters were submitted for a numerical review by an independent, three-person s- committee of the Program Committee based on novelty, description, and ev- uation. The subcommittee chose to recommend the acceptance of 16 of these posters for presentation and publication.

Download or read book Engineering in Dependability of Computer Systems and Networks written by Wojciech Zamojski and published by Springer. This book was released on 2019-05-11 with total page 554 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents papers on various problems of dependability in computer systems and networks that were discussed at the 14th DepCoS-RELCOMEX conference, in Brunów, Poland, from 1st to 5th July 2019. Discussing new ideas, research results and developments in the design, implementation, maintenance and analysis of complex computer systems, it is of interest to researchers and practitioners who are dealing with dependability issues in such systems. Dependability analysis came as a response to new challenges in the evaluation of contemporary complex systems, which should be considered as systems of people – with their needs and behaviours –interacting with technical communication channels (such as mobile activities, iCloud, Internet of Everything) and online applications, often operating in hostile environments. The diversity of topics covered, illustrates the variety of methods used in this area, often with the help of the latest results in artificial and computational intelligence.

Download or read book Session based Intrusion Detection System to Map Anomalous Network Traffic written by Bruce D. Caulkins and published by . This book was released on 2005 with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer crime is a large problem (CSI, 2004; Kabay, 2001a; Kabay, 2001b). Security managers have a variety of tools at their disposal - firewalls, Intrusion Detection Systems (IDSs), encryption, authentication, and other hardware and software solutions to combat computer crime. Many IDS variants exist which allow security managers and engineers to identify attack network packets primarily through the use of signature detection; i.e., the IDS recognizes attack packets due to their well-known "fingerprints" or signatures as those packets cross the network’s gateway threshold. On the other hand, anomaly-based ID systems determine what is normal traffic within a network and reports abnormal traffic behavior. This paper will describe a methodology towards developing a more-robust Intrusion Detection System through the use of data-mining techniques and anomaly detection. These data-mining techniques will dynamically model what a normal network should look like and reduce the false positive and false negative alarm rates in the process. We will use classification-tree techniques to accurately predict probable attack sessions. Overall, our goal is to model network traffic into network sessions and identify those network sessions that have a high-probability of being an attack and can be labeled as a "suspect session." Subsequently, we will use these techniques inclusive of signature detection methods, as they will be used in concert with known signatures and patterns in order to present a better model for detection and protection of networks and systems.

Download or read book Intrusion Detection Systems written by Pawel Skrobanek and published by BoD – Books on Demand. This book was released on 2011-03-22 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: The current structure of the chapters reflects the key aspects discussed in the papers but the papers themselves contain more additional interesting information: examples of a practical application and results obtained for existing networks as well as results of experiments confirming efficacy of a synergistic analysis of anomaly detection and signature detection, and application of interesting solutions, such as an analysis of the anomalies of user behaviors and many others.