Bayesian and Fuzzy Logic Implementation for SPAM/UCE Inline Filter

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Current growth in the use of email for communication and the corresponding rising problem of unsolicited email, also known as ‘spam’, has generated a need of automatic processing of anti-spam email filters. This paper describes the proposed techniques and concepts for spam filtering, which used naïve Bayesian and Fuzzy Logic. The objectives of this emerging project are to create and develop a spam inline filter using naïve Bayesian techniques and Fuzzy Logic in naïve Bayesian classification process, which then will be implemented in FPGA.

Keywords: Bayesian, Fuzzy Logic, Spam Filter
Stream: Knowledge and Technology
Presentation Type: Virtual Presentation in English
Paper: Bayesian and Fuzzy Logic Implementation for SPAM/UCE Inline Filter

Emran Mohd Tamil

Lecturer, Department of Computer System and Technology,
Faculty of Computer Science & Information Technology,, University of Malaya

Lembah Pantai, Kuala Lumpur, Malaysia

Emran Mohd Tamil is a lecturer at the Department of System and Computer Technology, Faculty of Computer Science and Information Technology, University of Malaya. He obtained his Master of Science in Information Technology from the Universiti Teknologi Mara in 2004. His current research areas include network security, system-on-chip, SCADA, wireless sensor network and digital signal processing for medical application.

Wan Nur Azhani Wan Samsudin

Researcher, System-on-chip Research Group, Faculty of Computer Science & Information Technology, University of Malaya

Mohd Yamani Idna Idris

Senior Lecturer, Department of Computer System & Technology, Faculty of Computer Science & Information Technology, University of Malaya
Kuala Lumpur, Federal State, Malaysia

Mohd. Yamani Idna Idris obtained both his B.Eng. (Hons) in Electrical Engineering (2000) and Master of Computer Science (2002) from University of Malaya. Currently he is a lecturer in the Department of Computer System & Technology, University of Malaya. His research interest is in the area of security, system on chip and intelligent system.

Zaidi Razak

Senior Lecturer, Department of Computer System & Technology, 
Faculty of Computer Science & Information Technology, University of Malaya

Kuala Lumpur, Federal State, Malaysia

Madihah Mohd Saudi

Lecturer, Faculty Science and Technology, Islamic Science University of Malaysia (USIM),Malaysia.
Nilai, Negeri Sembilan, Malaysia

Madihah Mohd Saudi is a lecturer at Faculty Science and Technology of
Islamic Science University of Malaysia (USIM),Malaysia.

Prior to that, Madihah Mohd Saudi was the virus analyst for NISER and was responsible for conducting in-house testing for virus analysis, reviewing standard operating procedures for virus analysis, developing acceptable user policies, damage control and laboratory specifications. She was also accountable in responding to virus cases, as (MyCERT-Malaysia Computer Emergency Response Team) 2nd level support and as the NISER’s honeynet member. She was also the co-instructor for Incident Handling Training organized by NISER.

Madihah earned her Bachelor’s Degree in Computer Science from Universiti Kebangsaan Malaysia (UKM)and her Master’s Degree in Software Engineering from Universiti Malaya (UM). Her mission for USIM and for herself is to be one of the best security academicians in the world.

Ref: T08P0451