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All Journal Indonesian Journal of Electrical Engineering and Computer Science
Afdallyna Harun
Universiti Teknologi MARA

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Facial Recognition in Multimodal Biometrics System for Finger Disabled Applicants Faddly Mazlan; Afdallyna Harun; Saiful Izwan Suliman
Indonesian Journal of Electrical Engineering and Computer Science Vol 6, No 3: June 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v6.i3.pp638-645

Abstract

Citizen identification in Malaysia is managed by Jabatan Pendaftaran Negara (JPN); a Malaysian Government Agency responsible in producing a national identification card called MyKad which contains textual information of the MyKad holder as well as fingerprint data. The current business modal solely relies on fingerprint identification as recognition process which presents limitations to Malaysian citizens who have finger disabilities. Currently, this matter is addressed by having applicants provide proof of identification which is then verified by the agency within three months. To improve efficiency of this process as well as making it friendlier for applicants to apply their MyKad, the use of facial recognition is proposed as a potential solution. A series of study was conducted with JPN, which intends to measure the reliability of a multimodal biometrics system in JPN environment for finger-disabled applicants. Findings demonstrate that Multimodal Biometrics System using Facial Recognition is reliable for individual identification.
Network intrusion detection system using immune-genetic algorithm (IGA) Hamizan Suhaimi; Saiful Izwan Suliman; Ismail Musirin; Afdallyna Harun; Roslina Mohamad; Murizah Kassim; Shahrani Shahbudin
Indonesian Journal of Electrical Engineering and Computer Science Vol 17, No 2: February 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v17.i2.pp1059-1065

Abstract

Network security is an important aspect in maintaining computer network systems and personal information from being illegally accessed by third parties. The major problem that frequently occurs in computer network systems is the failure in detecting possible network-attacks. Apart from that, the process of recognizing the type of attack that occurs is very crucial as it will determine the elimination process that should take place to counter the intrusion. This paper proposes the application of standard Genetic Algorithm (GA) that combines with immune algorithm process to enhance the computer system’s capability in recognizing possible intrusion occurrence in a computer system. Simulation was conducted numerous times to test the effectiveness of the proposed intrusion detection system by manipulating the parameter values for genetic operators utilized in GA. The effectiveness of the proposed method is shown in the gathered results and the analysis conducted further supports and proves that Immune Genetic Algorithm (IGA) has the capability to predict the occurrence of intrusion in computer network.
Co-Authors Faddly Mazlan Hamizan Suhaimi Ismail Musirin Murizah Kassim Roslina Mohamad Saiful Izwan Suliman Shahrani Shahbudin