A comprehensive study of spam detection in e-mails using bio-inspired optimization techniques
نویسندگان
چکیده
منابع مشابه
Trends in Combating Image Spam E-mails
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 ...
متن کاملOptimization Using a New Bio-inspired Approach
There is growing interest in bio(logy)-inspired approaches that are inspired by the principles of biology and that can solve difficult problems. In this paper, we propose a new computational algorithm that is inspired by molecular mechanics for the solution of complex problems. There is a deep and useful connection between mechanics mechanics and combinatorial optimization. This connection expo...
متن کاملWorkload models of spam and legitimate e-mails
This article presents an extensive characterization of a spam-infected e-mail workload. The study aims at identifying and quantifying the characteristics that significantly distinguish spam from non-spam (i.e., legitimate) traffic, assessing the impact of spam on the aggregate traffic, providing data for creating synthetic workload models, and drawing insights into more effective spam detection...
متن کاملA Classification Method for E-mail Spam Using a Hybrid Approach for Feature Selection Optimization
Spam is an unwanted email that is harmful to communications around the world. Spam leads to a growing problem in a personal email, so it would be essential to detect it. Machine learning is very useful to solve this problem as it shows good results in order to learn all the requisite patterns for classification due to its adaptive existence. Nonetheless, in spam detection, there are a large num...
متن کاملA Probabilistic Neural Network Based Classification of Spam Mails Using Particle Swarm Optimization Feature Selection
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...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Information Management Data Insights
سال: 2021
ISSN: 2667-0968
DOI: 10.1016/j.jjimei.2020.100006