Network Security White Papers
Analysis of Different Architectures of Neural Networks for Application in Intrusion Detection Systems
Overview 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.
| Publisher | Institute of Electrical and Electronics Engineers | File Format | |
|---|---|---|---|
| Date Published | November 2008 | ||
| Format | White Papers | ||
| Topics | |||
Balancing Security Against Productivity
What makes for great security? Is it about keeping the bad guys out or letting the good guys in? About defending attacks or preventing them? When IDG Research Services queried...
Security: New strides in preventing intrusions.
Need help eliminating risk in your IT environment? This ForwardView webshow describes how security appliances, which incorporate an array of security functions, can help you ward off security breaches without...
MessageLabs Intelligence : 2009 security Predictions
Having analyzed the global threat landscape for almost a decade, MessageLabs Team Skeptic™ is comprised of many world-renowned malware and spam experts who have a global view of threats across...
IDC Vendor Spotlight
Organised ubiquity is a must for organisations to sucessfully "project" their users in any given landspace, at any given time, with secuirty policy. This White Paper covers issues surrounding secure...
Trend Micro Enterprise Security white paper
This white paper reviews the content security threat landscape and how it has evolved into a more dangerous and high risk environment. The paper discussed how conventional content security approaches...



