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 TitleDate AddedCompany
whitepaper Developing a Hybrid Method for Identifying Monitoring Nodes in Intrusion Detection Systems of MANET2008-12-22 Sharif University of Technology
  Nowadays with appearance of a wide range of wireless devices, security of Mobile Ad hoc Networks (MANET) became an important problem and Intrusion Detection System (IDS) can be deployed as a second line of defense in a MANET. In this paper, a monitoring nodes selection method with high battery power in these networks is presented. A three-phase detection scheme is proposed. In the first phase, unauthorized nodes and in the second phase, malicious nodes are detected. Finally in the third phase, nodes with the largest battery power as monitoring nodes are considered. So, with this scheme, some of nodes contribute in monitoring task and costs of network monitoring and intrusion detection system will be decreased.

Tags: Security Administration, Intrusion - Tampering		   
whitepaper Data Mining for Intrusion Detection Systems2008-12-15 Montclair State University
  The paper discusses the use of data mining techniques applied to intrusion detection systems. The goal of these Data Mining based Intrusion Detection Systems is to discover patterns of program and user behavior, and determine what set of events indicate an attack. The paper includes information on what intrusion detection and data mining are, the significance of data mining based IDS, and major data mining techniques that have been applied to preexisting intrusion detection systems.

Tags: Intrusion - Tampering, Intrusion - Tampering		   
whitepaper An Intrusion Detection Sensor for the NetVM Virtual Processor2008-12-11 Polytechnic of Turin
  In the wide scenario of packet processing architectures, the development of ever sophisticated applications faces the challenge of finding a balance between different requirements: ever increasing performance, flexibility, and portability of the software across different platforms and hardware architectures. The Network Virtual Machine (NetVM) aims at responding to such defy by taking into account all these elements and by providing an abstract architecture for developing today's packet processing applications. In order to demonstrate that the NetVM platform can be profitably employed for the development of complex applications, the author developed a Snort-like network intrusion detection sensor. This paper presents its architecture and show that NetVM represents an excellent target for the dynamic generation of packet processing programs.

Tags: Security Administration, Intrusion - Tampering		   
whitepaper ROI by Any Other Name: The Payoff from Network Security2008-12-10 Cisco Systems
  Network security is like a bike helmet. To decide if either is a smart investment, you measure the harm it can prevent, multiply that by the odds, and weigh the result against the solution cost. It's no surprise that bike helmets and firewalls are very popular purchases.

Tags: Intrusion - Tampering, Data Tools, Intrusion - Tampering, Security Administration		   
whitepaper Building a Real-Time, Adaptive Security Infrastructure2008-12-09 Sourcefire
  Witness the dawn of real-time, adaptive security, where companies not only react to threats but also anticipate them by defending the network before, during and after the attack. Check out this program and learn how to create an infrastructure that is truly adaptive and responsive.

Tags: Software Development Tools, IT Infrastructure, Security Administration, Data Infrastructure, Security Administration, Intrusion - Tampering, Intrusion - Tampering		   
whitepaper Can Intrusion Detection Implementation Be Adapted to End-User Capabilities?2008-11-30 Edith Cowan University
  In an environment where technical solutions for securing networked systems are commonplace, there still exist problems in implementation of such solutions for home and small business users. One component of this protection is the use of intrusion detection systems. Intrusion detection monitors network traffic for suspicious activity, performs access blocking and alerts the system administrator or user of potential attacks. This paper reviews the basic function of intrusion detection systems and maps them to an existing end-user capability framework. Using this framework, implementation guidance and systematic improvement in implementation of this security measure are defined.

Tags: Security Administration, Intrusion - Tampering		   
whitepaper Wireless Intrusion Prevention Systems2008-11-19 Academy of Economic Studies
  The wireless networks have changed the way organizations work and offered a new range of possibilities, but at the same time they introduced new security threats. While an attacker needs physical access to a wired network in order to launch an attack, a wireless network allows anyone within its range to passively monitor the traffic or even start an attack. One of the countermeasures can be the use of Wireless Intrusion Prevention Systems.

Tags: Mobile and Wireless, Intrusion - Tampering		   
whitepaper Analysis of Different Architectures of Neural Networks for Application in Intrusion Detection Systems2008-11-11 Institute of Electrical and Electronics Engineers
  Usually, Intrusion Detection Systems (IDS) work using two methods of identification of attacks: by signatures that are specific defined elements of the network traffic possible to identification and by anomalies being some deviations form of the network behavior assumed as normal. In the both cases one must pre-define the form of the signature (in the first case) and the network's normal behavior (in the second one). This paper proposes application of Neural Networks (NN) as a tool for application in IDS. Such a method makes possible utilization of the NN learning property to discover new attacks, so (after the training phase) one need not deliver attacks' definitions to the IDS.

Tags: Security Administration, Intrusion - Tampering		   
whitepaper A Network Intrusion Detection Method Using Independent Component Analysis2008-11-11 Institute of Electrical and Electronics Engineers
  An Intrusion Detection System (IDS) detects illegal manipulations of computer systems. In intrusion detection systems, feature reduction, including feature extraction and feature selection, plays an important role in a sense of improving classification performance and reducing the computational complexity. Feature reduction is even more important when online detection, which means less computational power and fast real time delivery compared with offline detection, is needed. In this paper, independent component analysis approach is applied to feature extraction in online network intrusion detection problem. The paper uses the KDD Cup 99 data and try to reduce its 41 features such that significant less number of features would be fed into kNN and SVM classifiers.

Tags: Security Administration, Intrusion - Tampering		   
whitepaper Guide to Using Network IPS to Protect Against Next-Generation Cyber Threats2008-11-01 Preventia
  Network security threats are on the rise as cyber criminals continue to develop innovative ways to use compromised computers for their own personal gain. Organizations should understand the likely evolution of the threat landscape and develop an appropriate security strategy to address these evolving threats. This paper discusses how network Intrusion Prevention Systems (IPS) play a critical role in a layered approach to network security. The Top Layer IPS 5500 E-Series is presented along with specific guidelines for deploying network IPS with policies to provide optimum protection against the evolving threat landscape.

Tags: Intrusion - Tampering, Homeland Security