Search results for: network-intrusion-detection-and-prevention

Network Intrusion Detection and Prevention

Author : Ali A. Ghorbani
File Size : 58.99 MB
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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.

Performance of Network Intrusion Detection and Prevention Systems in Highspeed Environments

Author : W. A. A. A. Bul'ajoul
File Size : 41.6 MB
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Network Intrusion Detection and Prevention

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SCADA Security

Author : Abdulmohsen Almalawi
File Size : 44.57 MB
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Examines the design and use of Intrusion Detection Systems (IDS) to secure Supervisory Control and Data Acquisition (SCADA) systems Cyber-attacks on SCADA systems—the control system architecture that uses computers, networked data communications, and graphical user interfaces for high-level process supervisory management—can lead to costly financial consequences or even result in loss of life. Minimizing potential risks and responding to malicious actions requires innovative approaches for monitoring SCADA systems and protecting them from targeted attacks. SCADA Security: Machine Learning Concepts for Intrusion Detection and Prevention is designed to help security and networking professionals develop and deploy accurate and effective Intrusion Detection Systems (IDS) for SCADA systems that leverage autonomous machine learning. Providing expert insights, practical advice, and up-to-date coverage of developments in SCADA security, this authoritative guide presents a new approach for efficient unsupervised IDS driven by SCADA-specific data. Organized into eight in-depth chapters, the text first discusses how traditional IT attacks can also be possible against SCADA, and describes essential SCADA concepts, systems, architectures, and main components. Following chapters introduce various SCADA security frameworks and approaches, including evaluating security with virtualization-based SCADAVT, using SDAD to extract proximity-based detection, finding a global and efficient anomaly threshold with GATUD, and more. This important book: Provides diverse perspectives on establishing an efficient IDS approach that can be implemented in SCADA systems Describes the relationship between main components and three generations of SCADA systems Explains the classification of a SCADA IDS based on its architecture and implementation Surveys the current literature in the field and suggests possible directions for future research SCADA Security: Machine Learning Concepts for Intrusion Detection and Prevention is a must-read for all SCADA security and networking researchers, engineers, system architects, developers, managers, lecturers, and other SCADA security industry practitioners.

Ips Intrusion Prevention System

Author : Kevin Roebuck
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The Knowledge Solution. Stop Searching, Stand Out and Pay Off. The #1 ALL ENCOMPASSING Guide to IPS. An Important Message for ANYONE who wants to learn about IPS Quickly and Easily... ""Here's Your Chance To Skip The Struggle and Master IPS, With the Least Amount of Effort, In 2 Days Or Less..."" Intrusion Prevention Systems (IPS), also known as Intrusion Detection and Prevention Systems (IDPS), are network security appliances that monitor network and/or system activities for malicious activity. The main functions of intrusion prevention systems are to identify malicious activity, log information about said activity, attempt to block/stop activity, and report activity. Intrusion prevention systems are considered extensions of intrusion detection systems because they both monitor network traffic and/or system activities for malicious activity. The main differences are, unlike intrusion detection systems, intrusion prevention systems are placed in-line and are able to actively prevent/block intrusions that are detected. More specifically, IPS can take such actions as sending an alarm, dropping the malicious packets, resetting the connection and/or blocking the traffic from the offending IP address. An IPS can also correct Cyclic Redundancy Check (CRC) errors, unfragment packet streams, prevent TCP sequencing issues, and clean up unwanted transport and network layer options. Get the edge, learn EVERYTHING you need to know about IPS, and ace any discussion, proposal and implementation with the ultimate book - guaranteed to give you the education that you need, faster than you ever dreamed possible! The information in this book can show you how to be an expert in the field of IPS. Are you looking to learn more about IPS? You're about to discover the most spectacular gold mine of IPS materials ever created, this book is a unique collection to help you become a master of IPS. This book is your ultimate resource for IPS. Here you will find the most up-to-date information, analysis, background and everything you need to know. In easy to read chapters, with extensive references and links to get you to know all there is to know about IPS right away. A quick look inside: Intrusion prevention system, Intrusion detection system, Denial-of-service attack, Host-based intrusion detection system, Network intrusion detection system, Real-time adaptive security, Bypass switch, Network security, 360 Safeguard, Administrative domain, AEGIS SecureConnect, Aladdin Knowledge Systems, Alert Logic, Anomaly-based intrusion detection system, Anti-pharming, Anti-phishing software, Anti-worm, Application-level gateway, ARP spoofing, ArpON, Asprox botnet, Attack (computer), Attack tree, Authentication server, Avaya Secure Network Access, Avaya VPN Router, Bagle (computer worm), Barracuda Networks, Bastion host, Black hole (networking), BLACKER, Blue Cube Security, BNC (software), Botnet, BredoLab botnet, Bro (software), Byzantine Foothold, Captive portal, Capture the flag, Check Point, Check Point Abra, Check Point VPN-1, Christmas tree packet, Cisco ASA, Cisco Global Exploiter, Cisco PIX, Cisco Security Agent, Cisco Systems VPN Client, Clarified Networks, Clear Channel Assessment attack, Client Puzzle Protocol, Cloudvpn, Codenomicon, Columbitech...and Much, Much More! This book explains in-depth the real drivers and workings of IPS. It reduces the risk of your technology, time and resources investment decisions by enabling you to compare your understanding of IPS with the objectivity of experienced professionals - Grab your copy now, while you still can.

Next Generation Intelligent Network Intrusion Prevention System

Author : Dr. Manish Saxena
File Size : 31.36 MB
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Network Instrusion Prevention System NIPS Based on Network Intrusion Detection System NIDS and ID3 Algorithm Decision Tree Classifier

Author : Syurahbil
File Size : 69.61 MB
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Network security has gained significant attention in research and industrial communities. Due to the increasing threat of the network intrusion, firewalls have become important elements of the security policy. Firewall performance highly depends toward number of rules, because the large more rules the consequence makes downhill performance progressively. Firewall can be allow or deny access network packets incoming and outgoing into Local Area Network (LAN), but firewall can not detect intrusion. To distinguishing an intrusion network packet or normal is very difficult and takes a lot of time. An analyst must review all the network traffics previously. In this study, a new way to make the rules that can determine network packet is intrusion or normal automatically. These rules implemented into firewall as prevention, which if there is a network packet that match these rules then network packet will be dropped. This is called Network Intrusion Prevention System(NIPS).These rules are generated based on Network Intrusion Detection System (NIDS) and Iterative Dichotomiser 3 (ID3) Algorithm Decision Tree Classifier, which as data training is intrusion network packet and normal network packets from previous network traffics. The experiment is successful, which can generate the rules then implemented into a firewall and drop the intrusion network packet automatically. Moreover, this way can minimize number of rules in firewall.

Recent Advances in Intrusion Detection

Author : Richard Lippmann
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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.

Intrusion Detection and Correlation

Author : Christopher Kruegel
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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

Intrusion Detection Systems

Author : Beata Akselsen
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An intrusion detection system inspects all inbound and outbound network activity and identifies suspicious patterns that may indicate a network or system attack from someone attempting to break into or compromise a system. Intrusion detection (ID) is a type of security management system for computers and networks. An intrusion detection system gathers and analyzes information from various areas within a computer or a network to identify possible security breaches, which include both intrusions (attacks from outside the organization) and misuse (attacks from within the organization). Intrusion detection and prevention systems (IDPS) are primarily focused on identifying possible incidents, logging information about them, and reporting attempts. In addition, organizations use IDPSes for other purposes, such as identifying problems with security policies, documenting existing threats and deterring individuals from violating security policies. IDPSes have become a necessary addition to the security infrastructure of nearly every organization Intrusion detection system uses vulnerability assessment (sometimes refered to as scanning), which is a technology developed to assess the security of a computer system. The safeguarding of security is becoming increasingly difficult, because the possible technologies of attack are becoming ever more sophisticated; at the same time, less technical ability is required for the novice attacker, because proven past methods are easily accessed through the Web. This book, Intrusion Detection Systems, presents the 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.

Intrusion Detection with Snort

Author : Jack Koziol
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Discusses the intrusion detection system and explains how to install, configure, and troubleshoot it.

The State of the Art in Intrusion Prevention and Detection

Author : Al-Sakib Khan Pathan
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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.

Data Mining Intrusion Detection Information Assurance and Data Networks Security

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Machine Learning Methods for Network Intrusion Detection and Intrusion Prevention Systems

Author : Zheni Svetoslavova Stefanova
File Size : 25.55 MB
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Given the continuing advancement of networking applications and our increased dependence upon software-based systems, there is a pressing need to develop improved security techniques for defending modern information technology (IT) systems from malicious cyber-attacks. Indeed, anyone can be impacted by such activities, including individuals, corporations, and governments. Furthermore, the sustained expansion of the network user base and its associated set of applications is also introducing additional vulnerabilities which can lead to criminal breaches and loss of critical data. As a result, the broader cybersecurity problem area has emerged as a significant concern, with many solution strategies being proposed for both intrusion detection and prevention. Now in general, the cybersecurity dilemma can be treated as a conflict-resolution setup entailing a security system and minimum of two decision agents with competing goals (e.g., the attacker and the defender). Namely, on the one hand, the defender is focused on guaranteeing that the system operates at or above an adequate (specified) level. Conversely, the attacker is focused on trying to interrupt or corrupt the systems operation.

The Tao of Network Security Monitoring

Author : Richard Bejtlich
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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, "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.

Recent Advances in Intrusion Detection

Author : Alfonso Valdes
File Size : 59.9 MB
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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.

Alert Reduction for Network Intrusion Detection

Author : Jingmin Zhou
File Size : 88.7 MB
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Network Intrusion Alert

Author : Ankit Fadia
File Size : 69.54 MB
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How safe is your network? Intrusion Alert: an Ethical Hacking Guide to Intrusion Detection provides an in-depth look at the intrusion detection systems that are currently available to help protect your networks from cyber criminals. The book begins by explaining various security concepts and the basics of security attacks, and then goes on to provide an introduction intrusion detection systems (IDS), how these systems work, and principles of IDS and the IDS architecture. The second section of the book deals with the installation and configuration of various IDS tools including tcpdump, ISA Server 2004 and Snort. Readers learn to implement these products, understand essential administration and maintenance tasks, and fine tune and use the data they provide appropriately.

Intrusion Detection Prevention

Author : Carl F. Endorf
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Authors Carl Endorf, Eugene Schultz, and Jim Mellander deliver the hands-on implementation techniques that IT professionals need. Learn to implement the top intrusion detection products into real-world networked environments and covers the most popular intrusion detection tools including Internet Security Systems' Black ICE & RealSecure, Cisco Systems' Secure IDS, Computer Associatesâ¬" eTrust, Entercept, and the open source Snort tool.

Network Traffic Anomaly Detection and Prevention

Author : Monowar H. Bhuyan
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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.