Misuse detection is the process of attempting to identify instances of network attacks by comparing current activity against the expected actions of an intruder. Most current approaches to misuse detection involve the use of rule-based expert systems to identify indications of known attacks. However, these techniques are less successful in identifying attacks which vary from expected patterns. Artificial neural networks provide the potential to identify and classify network activity based on limited, incomplete, and nonlinear data sources. Th ....etc

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ABSTRACT

The amount of information available to us is literally exploding to manage this large task we require tools that simplify the management and presentation of data in a timely and ordered fashion.
The software Test Co-ordination system is a tool for atomizing the test process carried out in MCA department of PESIT the software facilitates the test coordinators.
Test coordination system simplifies the activities of test coordination process by automating the various tasks being followed by the MCA department. The software maintains ....etc

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Definition
An Artificial Neural Network (ANN) is an information-processing paradigm that is inspired by the way biological nervous systems, such as the brain, process information. The key element of this paradigm is the novel structure of the information processing system. It is composed of a large number of highly interconnected processing elements (neurons) working in unison to solve specific problems. ANNs, like people, learn by example. An ANN is configured for a specific application, such as pattern recognition or data classification, thr ....etc

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Intrusion Detection Systems

The timely and accurate detection of computer and network system intrusions has always been an elusive goal for system administrators and information security researchers. The individual creativity of attackers, the wide range of computer hardware and operating systems, and the ever changing nature of the overall threat to target systems have contributed to the difficulty in effectively identifying intrusions. While the complexities of host computers already made intrusion detection a difficult endeavor, the incre ....etc

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ABSTRACT
Bluetooth, a protocol designed to replace peripheral cables, has grown steadily over the last ve years and includes a variety of applications. The Bluetooth protocol operates on a wide variety of mobile and wireless devices and is nearly ubiquitous. Several attacks exist that successfully target and exploit Bluetooth enabled devices. This paper describes the implementation of a network intrusion detection system for discovering malicious Bluetooth trafc. The work improves upon existing techniques, which only detect a limited set of a ....etc

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Artificial Neural Network (ANN) is a system loosely modeled on human brain. It tries to obtain a performance similar to that of human?s performance while solving problems. As a computational system it is made up of a large number of simple and highly interconnected processing elements which process information by its dynamic state response to external inputs. Computational elements in ANN are non-linear and so the results come out through non-linearity can be more accurate than other methods. These non-linear computational elements will be work ....etc

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ARTIFICIAL NEURAL NETWORK FOR MISUSE DETECTION


INTRODUCTION


INTRUSION DETECTION SYSTEMS (IDS)

• Host-based IDS
• Network-based IDS
• Vulnerability-assessment IDS


COMPONENT OF Of IDS

• An information source that provides a stream of event records
• An analysis engine that identifies signs of intrusions
• A response component that gene rates reactions based
on the outcome of the analysis engine.


Neu ....etc

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1. INTRODUCTION
This project gives an idea about the misuse detection and monitoring management of the database system oracle. Generally now a days most of the people uses computers for keeping the database, regularly. This modern project keeps the vigil on the computers as well as detect the private and unauthorized threat for the system. AS threat occurs it gives the indication to the user. As well as the administrator. It uses the firewall to user initially it asks for the identity. If it matches to the previous stored ....etc

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we are working on the fundus images. i am in need of coding for image processing using neural network ....etc

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