نتایج جستجو برای: email spam detection

تعداد نتایج: 656459  

2006
Duncan Cook Jacky Hartnett Kevin Manderson Joel Scanlan

The arrival of any piece of unsolicited and unwanted email (spam) into a user’s email inbox is a problem. It results in real costs to organisations and possibly an increasing reluctance to use email by some users. Currently most spam prevention techniques rely on methods that examine the whole email message at the mail server. This paper describes research that aims to deny spam entry into the ...

2012
Cristian Lumezanu Nick Feamster

Spam is pervasive across many types of electronic communication, including email, instant messaging, and social networks. To reach more users and increase financial gain, many spammers now use multiple content-sharing platforms— including online social networks—to disseminate spam. In this paper, we perform a joint analysis of spam in email and social networks. We use spam data from Yahoo’s web...

2010
Md. Saiful Islam Abdullah Al Mahmud Md. Rafiqul Islam

Spam is commonly known as unsolicited or unwanted email messages in the Internet causing potential threat to Internet Security. Users spend a valuable amount of time deleting spam emails. More importantly, ever increasing spam emails occupy server storage space and consume network bandwidth. Keyword-based spam email filtering strategies will eventually be less successful to model spammer behavi...

2016
Garima Jain

Email becomes the major source of communication these days. Most humans on the earth use email for their personal or professional use. Email is an effective, faster and cheaper way of communication. The importance and usage for the email is growing day by day. It provides a way to easily transfer information globally with the help of internet. Due to it the email spamming is increasing day by d...

2014
Dhinaharan Nagamalai Vivek Shandilya Fahad Polash Sajjan Shiva

As the email is becoming a prominent mode of communication so are the attempts to misuse it to take undue advantage of its low cost and high reachability. However, as email communication is very cheap, spammers are taking advantage of it for advertising their products, for committing cybercrimes. So, researchers are working hard to combat with the spammers. Many spam detections techniques and s...

2004
Minh Tran Grenville Armitage

This paper examines an approach to spam mitigation that rate limits incoming TCP/IP connections to an SMTP server based on the real-time detection of spam within the SMTP message exchange. Our approach is motivated by a desire to cause increased resource consumption at the spammer end of each SMTP connection, and to avoid the negative impact of falsepositives by eventually allowing all emails t...

2013

In recent years spam detection and dealing with spam in information retrieval systems is a difficult task. This article surveys the classification of various spam in the internet based on their properties. The impact of various spams in social networks, email, image, content and links is discussed and the technique applied to prevent the spam in various areas is listed. A detailed analyzes of c...

2010
Mahesh Amin Rohan Mahesh Amin Anne Mullins

Detecting Targeted Malicious Email through Supervised Classification of Persistent Threat and Recipient Oriented Features Targeted email attacks to enable computer network exploitation have become more prevalent, more insidious, and more widely documented in recent years. Beyond nuisance spam or phishing designed to trick users into revealing personal information, targeted malicious email (TME)...

2007
Zhe Wang William K. Josephson Qin Lv Moses Charikar Kai Li

A new trend in email spam is the emergence of image spam. Although current anti-spam technologies are quite successful in filtering text-based spam emails, the new image spams are substantially more difficult to detect, as they employ a variety of image creation and randomization algorithms. Spam image creation algorithms are designed to defeat well-known vision algorithms such as optical chara...

2007
Slavisa Sarafijanovic Jean-Yves Le Boudec

Artificial immune systems (AIS) use the concepts and algorithms inspired by the theory of how the human immune system works. This document presents the design and initial evaluation of a new artificial immune system for collaborative spam filtering. Collaborative spam filtering allows for the detection of not-previously-seen spam content, by exploiting its bulkiness. Our system uses two novel a...

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