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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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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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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Abstract “
A novel application of neural network approach to protection of transmission line is demonstrated in this paper. Different system faults on a protected transmission line should be detected and classified rapidly and correctly. This paper presents the use of neural networks as a protective relaying pattern classifier algorithm. The proposed method uses current signals to learn the hidden relationship in the input patterns. Using the proposed approach, fault detection, classification and faulted phase selection could be achieve ....etc

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it is very good and most useull in transmission line fault detuction, in this method an artificial nuetral network shortly ANN is used, ....etc

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Transmission Line Fault Detection Using ANN

Introduction
What is ANN?
An artificial neural network(ANN) is an information processing paradigm that is inspired by the way

biological nervous system such as brain process information

Artificial Neural network are powerful in pattern recognition and classification

Salient Feature Of ANN

Fault Type Classifiers

Power Network Simulation
A 230Kv Power system is simulated by using EMTDC electromagnetic transient
program ....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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My self vaibhav karwa ,engineering student 4th yr(electronics&comm).
I want to about the detail discription of ann for misuse detection.
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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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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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