Spatio-Temporal Network Anomaly Detection by Assessing Deviations of Empirical Measures

Abstract:

We introduce Internet traffic anomaly detection mechanism based on large deviations results for empirical measures. Using past traffic traces we characterize network traffic during various time-of-day intervals, assuming that it is anomaly-free. Throughout, we compare the two approaches presenting their advantages and disadvantages to identify and classify temporal network anomalies. We also demonstrate how our framework can be used to ....etc

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Design and Implementation of an Anomaly Detection Scheme in Sachet Intrusion Detection System
Due to the widespread proliferation of computer networks, attacks on computer systems are increasing day by day. Preventive measures can stop these attacks to some extent, but they are not very effective due to various reasons. This leads to the development of intrusion detection as a second line of defense. Intrusion detection systems try to identify attacks or intrusions by analyzing network data (network-based systems) or operating system an ....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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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

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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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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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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this project is to introduce an Internet traffic anomaly detection mechanism based on large deviations results for empirical measures. Using past traffic traces we characterize network traffic during various time-of-day intervals, assuming that it is anomaly-free.
this project is to present two different approaches to characterize traffic:
(i) a model-free approach based on the method of types and Sanov's theorem, and
(ii) a model-based approach modeling traffic using a Markov modulated process.
Using these characterizations as a referenc ....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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Network intrusion detection systems often rely on matching patterns that are gleaned from known attacks. While this method is reliable and rarely produces false alarms, it has the obvious disadvantage that it cannot detect novel attacks. An alternative approach is to learn a model of normal traffic and report deviations, but these anomaly models are typically restricted to modeling IP addresses and ports, and do not include the application payload where many attacks occur. We describe a novel approach to anomaly detection.

We extract a set o ....etc

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