Most e-mail readers spend a significant amount of time regularly deleting junk e-mail (spam) messages, which are a part of marketing campaigning efforts of various companies wherein users normally signed in and it also results in increasing volume of storage space and consumes network bandwidth. A challenge, therefore, rests with the developers and improvement of automatic classifiers that can ...

Most e-mail readers spend a significant amount of time regularly deleting junk e-mail (spam) messages, which are a part of marketing campaigning efforts of various companies wherein users normally signed in and it also results in increasing volume of storage space and consumes network bandwidth. A challenge, therefore, rests with the developers and improvement of automatic classifiers that can ...

he increasing use of e-mail in the world because of its simplicity and low cost, has led many Internet users are interested in developing their work in the context of the Internet. In the meantime, many of the natural or legal persons, to sending e-mails unrelated to mass. Hence, classification and identification of spam emails is very important. Many studies on spam indicate that it costs orga...

Spam deobfuscation is a processing to detect obfuscated words appeared in spam emails and to convert them back to the original words for correct recognition. Lexicon tree hidden Markov model (LTHMM) was recently shown to be useful in spam deobfuscation. However, LT-HMM suffers from a huge number of states, which is not desirable for practical applications. In this paper we present a complexity-...

Most e-mail readers spend a significant amount of time regularly deleting junk e-mail (spam) messages, which are a part of marketing campaigning efforts of various companies wherein users normally signed in and it also results in increasing volume of storage space and consumes network bandwidth. A challenge, therefore, rests with the developers and improvement of automatic classifiers that can ...

It is well known that Unsolicited Commercial Emails (UCE), commonly known as spam, are becoming a serious problem for email accounts of single users, small companies and large institutions. The presence of spam can seriously compromise normal user activities, forcing to navigate through mailboxes to find the relatively few interesting emails, so wasting time and bandwidth, occupying their stora...

Focusing on the uncertainty of classifying emails based-on email content and the incompleteness of email representation, the paper proposes a new representation using noncharacteristic information. The new approach refers to the whole email, contains feature items extracted from email content, and noncharacteristic items extracted from email header. In the expriment, we adopt Naïve Bayes classi...

Predatory publishers—those who do not adhere to rigorous standards of academic practice such as peer review—are increasingly infiltrating biomedical databases, the detriment wider scientific community. These publishers frequently send unsolicited ‘spam’ emails generate submission their journals, with early career researchers (ECR) particularly susceptible these practices because pressures secur...

Traditionally, whenever we want to use a computer to solve a new task, we need to provide it with very explicit and precise description of what it is exactly that we want it to do. This requirement often is not too problematic – after all, there is a lot of tasks that even not too experienced programmer (let alone a team of experienced ones) can make computers perform. However, there still is a...