Sir,

We have a plan for a project on wormdetection in LAN using snort tool( USING java) .we need a sample code for illustrating snort tool for this purpose. ....etc

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I am about to do my final year project about guard against zero-day vulnerabilities by deploying Snort IDS.

My adviser suggests that I have to do something more than installing and configuring Snort, creating honeypot, and testing the network against zero-day attack.
Could you please guide me, what I can do ? how can people utilized from my project? ....etc

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To get full information or details of anomaly detection please have a look on the pages

http://seminarsprojects.net/Thread-spatio-temporal-network-anomaly-detection-by-assessing-deviations-of-empirical-measur?pid=17883&mode=threaded

if you again feel trouble on anomaly detection please reply in that page and ask specific fields in anomaly detection ....etc

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Intrusion detection is a set of techniques and methods that are used to detect suspicious activity both at the network and host level. Intrusion detection systems fall into two basic categories: signature-based intrusion detection systems and anomaly detection systems. Intruders have signatures, like computer viruses, that can be detected using software. You try to find data packets that contain any known intrusion-related signatures or anomalies related to Internet protocols. Based upon a set of signatures and rules, the detection system is ab ....etc

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Introduction
In the last few years there has been a tremendous increase in connectivity between systems which has brought about limitless possibilities and opportunities. Unfortu nately security related problems have also increased at the same rate. Computer systems are becoming increasingly vulnerable to attacks. These attacks or intru sions, based on flaws in operating system or application programs, usually read or modify confidential information or render the system useless. Formally, an intrusion is defined as ....etc

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Thank you so much. I need anomaly detection algorithm for my research.It will be very useful for me. ....etc

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The Online Blood Donation management System is to create an e-Information about the donor and organization that are related to donating the blood. Through this application any person who is interested in donating the blood can register himself in the same way if any organization wants to register itself with this site that can also register. Moreover if any general consumer wants to make request blood online he can also take the help of this site. Admin is the main authority who can do addition, deletion, and modification if required.

Online ....etc

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data flow diagram of fraud detection using anomaly detection techniques

In data mining, anomaly detection (or outlier detection) is the identification of items, events or observations which do not conform to an expected pattern or other items in a dataset. Typically the anomalous items will translate to some kind of problem such as bank fraud, a structural defect, medical problems or errors in a text. Anomalies are also referred to as outliers, novelties, noise, deviations and exceptions.

In particular in the context of abuse and networ ....etc

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Regular patterns
Many metrics follow some sort of regular patterns correlated to time. Websites commonly experience high activity during the day and low activity at night. This correlation with time make it easy to spot anomalies but when it doesn t it s a bit more difficult.
1. With time correlation
When the metric is correlated to time, the key point is to find it seasonality. When today s pattern is the same as yesterday, it seasonality is known as one day. It is common to find seasonality of one week because Saturday s patterns don ....etc

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to get information about the topicagent based efficient anomaly intrusion detection system in adhoc networks related topic refer the page link bellow

http://seminarsprojects.net/Thread-mobile-agent-based-distributed-intrusion-detection-system ....etc

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