Email spam is a word that we come across in our daily life. The word spam means junk mails. The unsolicited emails that are received by any person in his/her mailbox are called spam. These junk mails are usually sent in bulk for advertising and marketing some products. This work presents a neural network approach to intrusion detection. A Multi-Layer Perceptron using Back Propagation Algorithm ...

Over the last years, unsolicited bulk mail, better known as spam, has become one of the most annoying problems of the Internet. The increase of spam emails uses bandwidth and fills up databases and therefore the global network becomes more crowded and less useful. Even though spam emails do not damage the data in the way that viruses do, they do harm the business intentions. For example, spam e...

While Web archive quality is endangered by Web spam, a side effect of the high commercial value of top-ranked search-engine results, so far Web spam filtering technologies are rarely used byWeb archivists. In this paper we make the first attempt to disseminate existing methodology and envision a solution for Web archives to share knowledge and unite efforts in Web spam hunting. We survey the st...

Spam has become the platform of choice used by cyber-criminals to spread malicious payloads such as viruses and trojans. In this paper, we consider the problem of early detection of spam campaigns. Collaborative spam detection techniques can deal with large scale e-mail data contributed by multiple sources; however, they have the well-known problem of requiring disclosure of e-mail content. Dis...

Rapidly growing micro-blogging social networks, such as Twitter, have been infiltrated by large number of spam accounts. Limited to 140 characters, Twitter spam is often vastly different from traditional email spam and link spam such that conventional methods of content-based spam filtering are insufficient. Many researchers have proposed schemes to detect spammers on Twitter. Most of these sch...

The prevalence of spam URLs in Internet services, such as email, social networks, blogs and online forums has become a serious problem. These spam URLs host spam advertisements, phishing attempts, and malwares, which are harmful for normal users. Existing URL blacklist approaches offer limited protection. Although recent machine learning based URL classification approaches demonstrate good accu...

Short Message Service (SMS) traffic is increasing day by day and trillions of sms are sent and received by billions of users every day. Spam messages are also increasing in same proportionate. Numbers of recent advancements are taking place in the field of sms spam detection and filtering. The objective of this work is twofold, first is to identify and classify spam messages from the collection...

Spam is not only clogging the Internet traffic by consuming a hefty amount of network bandwidth but it is also a source for e-mail born viruses, spyware, adware and Trojan Horses. It is also used to carry out denial of service, directory harvesting and phishing attacks that directly cause financial losses. Further, the contents of spam are often offensive and contain adult oriented and fraudule...

As the problem of spam email increases, we examined users attitudes toward and experience with spam as a function of gender and age. College-age, working-age, and retirement-age men and women were surveyed. Most respondents strongly disliked receiving spam yet took few actions against it. There were fewer gender differences than predicted, but age was a significant predictor of several response...

With the rapid development of Internet, e-mail has become effective means of communication to share information. Through e-mail, we can send text messages, images, audio and video clips across the world within a fraction of time. In recent years, e-mail users are facing problem due to spam e-mails. Spam e-mails are unsolicited commercial/bulk e-mails sent by spammers. There are many serious pro...