ARTIFICIAL INTELLIGENCE IN VIRUS DETECTION AND RECOGNITION

Parvathy Nair & Parvathy.R.Nair
S8-Computer Science Department
Mohandas College of Engineering and Technology
Trivandrum.




Abstract
Artificial intelligence (AI) techniques have played increasingly important role in virus detection. At present, some
principal artificial intelligence techniques applied in virus detection are proposed, including heuristic technique,
data mining, agent technique, ....etc

[:=Read Full Message Here=:]

1. INTRODUCTION
1.1 Scope of the Project
The aim of the project work is to develop software to address of the requirements of free e-mail processing system. The objective is to improve the quality in e-mail processing system. By using the fully equipped software like .Net I can reach the objective easily. The scope of this project is not limited to intranet only. I can ensure that this project can be launched as a full-fledged mailing site in the internet. As a result of this I am using the ASP.Net for developing ....etc

[:=Read Full Message Here=:]

to get information about the topic spam detection system using email abstraction scheme related topic refer the page link bellow

http://seminarsprojects.net/Thread-a-collaborative-spam-detection-system-with-a-novel-e-mail-abstraction-scheme?pid=76320&mode=threaded ....etc

[:=Read Full Message Here=:]

pls send me the documentation fot collobrative spam detection system ....etc

[:=Read Full Message Here=:]

Aim

The aim of this project is to:

Produce a system, based on a Bayesian text classifier, that will classify emails into two categories: spam and non-spam.

The classifier can be based on that described in detail in Machine Learning by Tom Mitchell. It is not necessary to know about Bayesian classifiers before you start.

This project can also be undertaken using a supervised neural net, which could be ready written.

Objectives / major tasks

In order to complete this project fully a student will have to:
....etc

[:=Read Full Message Here=:]

can anybody give me codes for spam email detection via image processing ....etc

[:=Read Full Message Here=:]

A Collaborative Spam Detection System with a Novel E-Mail Abstraction Scheme



Abstract

E-mail communication is indispensable nowadays, but the e-mail spam problem continues growing drastically. In recent
years, the notion of collaborative spam filtering with near-duplicate similarity matching scheme has been widely discussed. The primary
idea of the similarity matching scheme for spam detection is to maintain a known spam database, formed by user feedback, to block
subsequent near-duplicate spams.

[b ....etc

[:=Read Full Message Here=:]

Artificial intelligence in antivirus detection
ARTIFICIAL INTELLIGENCE IN ANTIVIRUS DETECTION ....etc

[:=Read Full Message Here=:]

ABSTRACT:

Compromised machines are one of the key security threats on the Internet; they are often used to launch various security attacks such as spamming and spreading malware, DDoS, and identity theft. Given that spamming provides a key economic incentive for attackers to recruit the large number of compromised machines, we focus on the detection of the compromised machines in a network that are involved in the spamming activities, commonly known as spam zombies. We develop an effective spam zombie detection system named SPOT by monitoring ....etc

[:=Read Full Message Here=:]

ABSTRACT:

Compromised machines are one of the key security threats on the Internet; they are often used to launch various security attacks such as spamming and spreading malware, DDoS, and identity theft. Given that spamming provides a key economic incentive for attackers to recruit the large number of compromised machines, we focus on the detection of the compromised machines in a network that are involved in the spamming activities, commonly known as spam zombies. We develop an effective spam zombie detection system named SPOT by monitoring ....etc

[:=Read Full Message Here=:]