Recently, huge number of e-mails is sent and received. These e-mails are classified into spam and non spam ones which are processed with the same priority. To guarantee a higher priority service to non-spam e-mails than that is provided to spam e-mails, a two-priority queue scheme was proposed. There are some drawbacks in the two-priority queue scheme such as it fails to provide a Quality of Se...

With the rapid adoption of Internet as an easy way to communicate, the amount of unsolicited e-mails, known as spam e-mails, has been growing rapidly. The major problem of spam e-mails is the loss of productivity and a drain on IT resources. Today, we receive spam more rapidly than the legitimate e-mails. Initially, spam e-mails contained only textual messages which were easily detected by the ...

Abstract Spam annoys users and poses a security threat. This article proposes spam filter based on geographical location of the sender determined by IP geolocation. was implemented as plugin to SpamAssassin anti-spam software. The allows define penalty score for specific countries sending spam. proposed tested dataset 1500 e-mails consisting 1200 300 legitimate e-mails. Matthews correlation coe...

Most of current Anti-spam techniques, like the Bayesian anti-spam algorithm, primarily use lexical matching for filtering unsolicited bulk E-mails (UBE) and unsolicited commercial E-mails (UCE). However, precision of spam filtering is usually low when the lexical matching algorithms are used in real dynamic environments. For example, an E-mail of refrigerator advertisements is useful for most f...

Currently, spam and scams are passive attack over the inbox which can initiated to steal some confidential information, to spread Worms, Viruses, Trojans, cookies and Sometimes they are used for phishing attacks. Spam mails are the major issue over mail boxes as well as over the internet. Spam mails can be the cause of phishing attack, hacking of banking accounts, attacks on confidential data. ...

The e-mail’s header session usually contains important attributes such as e-mail title, sender’s name, sender’s email address, sending date, which are helpful to classification of e-mails. In this paper, we apply decision tree data mining technique to header’s basic attributes to analyze the association rules of spam e-mails and propose an efficient spam filtering method to accurately identify ...

Email has gained the explosive growth in the communication of people across the world. This worldwide communication also has some disadvantages like Spam mails. The spammers spread the useless, unwanted mails and even malicious contents to the usersemails. This increasing number of spam mails increases the need for the spam detection architecture with the machine learning classification. The pr...

We conducted an empirical study of the clustering behavior of spammers and explored the group-based anti-spam strategies. We propose to block spammers as groups instead of dealing with each spam individually. We empirically observe that, with a certain grouping criteria such as having the same URL in the spam mail, the relationship among the spammers has demonstrated highly clustering structure...

–While email is one of the fastest form of communication, the user is frequently faced with receiving unsolicited emails called spams. Nonspam mails are known as hams which are legitimate mails. It is practically very difficult to perfectly classify a mail into spam or ham basing on the content or subject of the mail. Several statistical methods are available which classify mails with some chan...

Today the major problem that the people are facing is spam mails or e-mail spam. In recent years there are so many schemes are developed to detect the spam emails. Here the primary idea of the similarity matching scheme for spam detection is to maintain a known spam database, formed by users feedback, to block the subsequent near-duplicate spam’s. We propose a novel e-mail abstraction scheme, w...