Nowaday, emails are used in almost every field, from business to education. Emails have
two subcategories, ie, ham and spam. Email spam, also called junk emails or unwanted …

The tremendously growing problem of phishing e-mail, also known as spam including spear
phishing or spam borne malware, has demanded a need for reliable intelligent anti-spam e …

With the popularity of Internet of Things (IoT) technology, the security of the IoT network has
become an important issue. Traditional intrusion detection systems have their limitations …

Email spam is a serious problem that annoys recipients and wastes their time. Machine-
learning methods have been prevalent in spam detection systems owing to their efficiency in …

Nowadays, spam emails represent a severe threat to security and cause a big waste in
transmission time and users' time spent in browsing unsolicited bulk emails (UBE). This is in …

In practically every industry today, from business to education, emails/messages are used.
Ham and spam are the two subcategories of emails/messages. Email or message spam …

The spam detection is a big issue in mobile message communication due to which mobile
message communication is insecure. In order to tackle this problem, an accurate and …

Many machine learning methods have been applied for short messaging service (SMS)
spam detection, including traditional methods such as naïve Bayes (NB), vector space …

The spread and adoption of spam emails in malicious activities like information and identity
theft, malware propagation, monetary and reputational damage etc. are on the rise with …

Data is the most valuable resource in the present. Classifying the data and using the
classified data to make a decision holds the highest priority. Computers are trained to …