The Internet’s current architecture de-couples the cost of sending traffic from the consequences of sending traffic. Its open nature allows anyone to initiate a connection with minimal authentication. These factors account for the excessive consumption caused by spam in the email system and other service areas. At the network layer, resource consumption caused by spam is analogous to Distribute...

Image spam is a new trend in the family of email spams. The new image spams employ a variety of image processing technologies to create random noises. In this paper, we propose a semi-supervised approach, regularized discriminant EM algorithm (RDEM), to detect image spam emails, which leverages small amount of labeled data and large amount of unlabeled data for identifying spams and training a ...

Networks are strained by spam, which also overloads email servers and blocks mailboxes with unwanted messages files. Setting the protective level for spam filtering might become even more crucial users when malicious steps taken since they must deal an increase in number of valid communications being marked as spam. By finding patterns communications, detection systems (SDS) have been developed...

Electronic mail is one of the important communication channels of information technology which serves across the globe. Though the functionalities of e-mail have been very helpful in serving both individuals and institutions, it encounters a major issue called ‘Spamming’. Spam mails are unwanted text or image-based messages, often sent without the consent of users so as to fill their mailboxes....

The increased nature of email spam with the use of urge mailing tools prompt the need for detector generation to counter the menace of unsolocited email. Detector generation inspired by the human immune system implements particle swarm optimization (PSO) to generate detector in negative selection algorithm (NSA). Outlier detectors are unique features generated by local outlier factor (LOF). The...

Nowadays most of Internet users surfer from spam emails. Filtering technique is one of the effective methods which help us to get rid of the spam emails. One of the problems of filtering is that it cannot detect spam emails accurately when the concepts change or drift happens as time goes by. Therefore, it is required to handle concept drift accurately and quickly. This paper proposes a new alg...

Spam, the electronic equivalent of junk mail, affects over 600 million users worldwide. Even as anti-spam solutions change to limit the amount of spam sent to users, the senders adapt to make sure their messages are seen. This paper looks at application of the artificial immune system model to protect email users effectively from spam. In particular, it tests the spam immune system against the ...

This work presents a symbiotic filtering approach enabling the exchange of relevant word features among different users in order to improve local anti-spam filters. The local spam filtering is based on a ContentBased Filtering strategy, where word frequencies are fed into a Naive Bayes learner. Several Evolutionary Algorithms are explored for feature selection, including the proposed symbiotic ...

Spam turns out to be an increasingly serious problem to email users. A number of anti-spam schemes have been proposed and deployed, but the problem has yet been well addressed. One of those schemes is challenge-response, in which a challenge is imposed on an email sender. However, such a scheme introduces new problems for the users, e.g., delay of service and denial of service attacks. In this ...