C Secure

Executive Summary – IDS, Neural Network–based IDS for local computer network

Today, Intrusion Detection Systems (IDS) are based on « traditional » von Neumann technologies and reliant on software, which yield unsatisfactory resultsThe Radial Basis Function (RBF) neural network has been successfully tested for intrusion detection by combining several chipsWe will implement the first neural network based-IDS to achieve unparalleled performance
Since we already have all hardware and software available, minimum investment is required to have a workable industrial solution

Introduction and technological insights IDS (Intrusion Detection System) and RBF Neural Networks

"An intrusion detection system (IDS) is a device or software application that monitors network or system activities for malicious activities or policy violations and produces reports to a management station"Today, the actual performance of IDS are low and industry focus is on softwareRBF(Radial Basis Function Neural Network) Neural Network have been successfully tested as being the superior solution to tackle the problem

We believe that actual breakthrough and superior performance can be achieved by also tackling the hardware part, using RBF neural network

Different approaches to intrusion detection

Host-based ID systems directly monitor the computers on which they run, often through tight integration with the operating systemNetwork-based ID systems monitor network traffic between hosts. Unlike host-based ID systems, which detect malicious behavior outright, these systems deduce behavior based on the content and format of data packets on the network Router-based ID systems protect the network infrastructure. These systems ensure safe, reliable connections
between computers over large networks

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