Logical Circuits for Extended Content Matching in Hardware Based NIDPS
Journal Title: INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY - Year 2013, Vol 7, Issue 3
Abstract
In this paper we present logical circuits for efficient detection of rolled out contents. As network speed increases and security matters there is a demand for implementation of hardware based Network Intrusion Detection and Prevention Systems (NIDPS). On the other hand hardware based NIDPS are lacking the flexibility of detection of so named "evasion" techniques. Here we present simple but efficient enhancement to content matching in hardware with minimal basic memory elements (flip-flops) used.
Authors and Affiliations
Dejan Georgiev, Aristotel Tentov
Keywords
Related Articles
- EP ID EP650080
- DOI 10.24297/ijct.v7i3.3448
- Views 78
- Downloads 0
Development of Networks Model in The Serious Game of Agribusiness Management for Decision Making
This research developed a decision-making process in the agribusiness management system and analyzed the behavior of fixed point for identifying the position of agribusiness interaction. Agribusiness is represented as no...
Free convection between vertical concentric annuli with induced magnetic field when inner cylinder is electrically conducting
An analysis is made for the fully developed laminar free convective flow in an open ended vertical concentric annuli with constant heat flux and constant temperature on the inner and outer walls, in the presence of a rad...
Web Client and Web Server approaches to Prevent XSS Attacks
Websites rely completely on complex web applications to deliver content to all users according to set preferences and specific needs. In this manner organizations provide better value to their customers and prospects. Dy...
Fuzzy Weighted Ordered Weighted Average-Gaussian Mixture Model for Feature Reduction
Feature reduction finds the optimal feature subset using machine learning techniques and evaluation criteria. Some of the irrelevant features are existed in the real-world datasets that should be removed by using the mul...
Smallest Univalue Segment Assimilating Nucleus approach to Brain MRI Image Segmentation using Fuzzy C-Means and Fuzzy K-Means Algorithms
Image segmentation still remains an important task in image processing and analysis. Sequel to any segmentation process, preprocessing activities carried out on the images have a great effect on the accuracy of the segme...