This paper apply neural network and spam model based on Negative selection algorithm for solving complex problems in spam detection. This is achieved by distinguishing spam from non-spam (self from non-self). We propose an optimized technique for e-mail classification; The e-mail are classified as self and non-self whose redundancy was removed from the detector set in the previous research to g...

We propose a discriminative classifier learning approach to image modeling for spam image identification. We analyze a large number of images extracted from the SpamArchive spam corpora and identify four key spam image properties: color moment, color heterogeneity, conspicuousness, and self-similarity. These properties emerge from a large variety of spam images and are more robust than simply u...

Spam mails are unwanted mails sent to large number of users. Spam mails not only consume the network resources, but cause security threats as well. This paper proposes an efficient technique to detect, and to prevent spam mail in the sender side rather than the receiver side. This technique is based on a counter set on the sender server. When a mail is transmitted to the server, the mail server...

Online social networks (OSNs) are extremely popular among Internet users. Unfortunately, in the wrong hands, they are also effective tools for executing spam campaigns. In this paper, we present an online spam filtering system that can be deployed as a component of the OSN platform to inspect messages generated by users in real-time. We propose to reconstruct spam messages into campaigns for cl...

Spam in Internet telephony networks is likely to become a large problem in the future, as more and more people and companies switch from traditional telephone networks to Voice over IP (VoIP) networks. VoIP spam is likely to have a great strain on the network. The question that will be answered in with this research is: “What methods exist against spam over Internet Telephony and which techniqu...

The HITS algorithm proposed by Kleinberg is one of the representative methods of scoring Web pages by using hyperlinks. In the days when the algorithm was proposed, most of the pages given high score by the algorithm were really related to a given topic, and hence the algorithm could be used to find related pages. However, the algorithm and the variants including Bharat’s improved HITS, abbrevi...

With the development of network, some mail business growing has become a pressing problem in the internet. The problem for the traditional method of spam filtering can not effectively identify the unknown and variation characteristics, artificial immune system exists diversity, immune memory, adaptive and self learning ability, adopt the idea of to mail filtering, and design an improved spam fi...

Just as email spam has negatively impacted the user messaging experience, the rise of Web spam is threatening to severely degrade the quality of information on the World Wide Web. Fundamentally, Web spam is designed to pollute search engines and corrupt the user experience by driving traffic to particular spammed Web pages, regardless of the merits of those pages. In this paper, we identify an ...