E-mail Viruses Detection: Detect E-mail Virus by Network Traffic
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چکیده
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منابع مشابه
A New Hybrid Approach of K-Nearest Neighbors Algorithm with Particle Swarm Optimization for E-Mail Spam Detection
Emails are one of the fastest economic communications. Increasing email users has caused the increase of spam in recent years. As we know, spam not only damages user’s profits, time-consuming and bandwidth, but also has become as a risk to efficiency, reliability, and security of a network. Spam developers are always trying to find ways to escape the existing filters therefore new filters to de...
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Even if new interaction paradigms, such as the Voice over IP (VoIP), are becoming popular and widely adopted, the e-mail is still one of the most utilized ways to communicate across the Internet. However, many malicious threats are conveyed via e-mails. Usually, the authors can exploit two different approaches: i) analyzing the logs produced by e-mail servers or ii) reconstruct the e-mail flows...
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Spam is an unwanted email that is harmful to communications around the world. Spam leads to a growing problem in a personal email, so it would be essential to detect it. Machine learning is very useful to solve this problem as it shows good results in order to learn all the requisite patterns for classification due to its adaptive existence. Nonetheless, in spam detection, there are a large num...
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