Work place: School of Information Sciences & Technology, Southwest Jiaotong University, Chengdu, PR China
E-mail: mushtaq.ahmad91@gmail.com
Website:
Research Interests: Information Security, Network Architecture, Network Security, Information-Theoretic Security
Biography
Mushtaq Ahmad was born in 1986 in Pakistan. He received MS(Telecom &Networking) degree in 2013 from Bahria University Islamabad, Since 2014,he is a PhD student in School of Information Sciences & Technology (SIST), Southwest Jiaotong University, Sichuan, Chengdu, PR China. His research interests are MANETs, VANETs, Network Security and 5G WLAN Standards.
By Muhammad iqbal Malik Muneeb Abid Mushtaq Ahmad Faisal Khurshid
DOI: https://doi.org/10.5815/ijitcs.2016.01.02, Pub. Date: 8 Jan. 2016
Nowadays, spam has become serious issue for computer security, because it becomes a main source for disseminating threats, including viruses, worms and phishing attacks. Currently, a large volume of received emails are spam. Different approaches to combating these unwanted messages, including challenge response model, whitelisting, blacklisting, email signatures and different machine learning methods, are in place to deal with this issue. These solutions are available for end users but due to dynamic nature of Web, there is no 100% secure systems around the world which can handle this problem. In most of the cases spam detectors use machine learning techniques to filter web traffic. This work focuses on systematically analyzing the strength and weakness of current technologies for spam detection and taxonomy of known approaches is introduced.
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