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Sabariah Baharun

Universiti Teknologi Malaysia

Author-ID : 2382941

Computer Science & IT Electrical & Electronics Engineering

Published : 2 Documents Claim Missing Document

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Evaluation of Recognition-Based Graphical Password Schemes in Terms of Usability and Security Attributes Touraj Khodadadi; A.K.M. Muzahidul Islam; Sabariah Baharun; Shozo Komaki
International Journal of Electrical and Computer Engineering (IJECE) Vol 6, No 6: December 2016
Publisher : Institute of Advanced Engineering and Science

User Authentication is a critical component in information security. Several widely used mechanisms for security to protect services from illegal access include alphanumerical usernames passwords. However, there are several drawbacks attached in this method. For instance, the users themselves usually those passwords that are easy to guess. As difficult passwords are difficult to recall. A new alternative is the graphic-based password and there has been a growing trend in the use of such a password. The human psychology study reveals that humans find it easier to remember pictures as opposed to words. There are two main aspects to the graphical password scheme, namely security and usability. This study comprises of a comprehensive research in the current Recognition-Based graphical password schemes. The common usability attributes and possible attacks on the Recognition-Based graphical password are reviewed, identified and examined in detail. There are several previous surveys on the graphical passwords. The latest research review and summarize graphical password systems concisely and at the same time, analyze usability features for every design. However it was found that there is not a single method that has the most resounding usability attributes. Therefore, this research suggests a set of usability attributes that can be applied into a single Recognition-Based graphical password system. In addition, this study examines and compares success rates on login, login time and memorability of existing systems which are the usability measures most often reported in user studies of graphical passwords. Lastly, a comparison table is revealed to put forth the limitations and strengths of each approach in terms of security and usability.

Pre-processing Technique for Wireless Capsule Endoscopy Image Enhancement Rosdiana Shahril; Sabariah Baharun; AKM Muzahidul Islam
International Journal of Electrical and Computer Engineering (IJECE) Vol 6, No 4: August 2016
Publisher : Institute of Advanced Engineering and Science

Wireless capsule endoscopy (WCE) is used to examine human digestive tract in order to detect abnormal area. However, it has been a challenging task to detect abnormal area such as bleeding due to poor quality and dark images of WCE. In this paper, pre-processing technique is introduced to ease classification of the bleeding area. Anisotropic contrast diffusion method is employed in our pre-processing technique as a contrast enhancement of the images. There is a drawback to the method proposed B. Li in which the quality of WCE image is degraded when the number of iteration increases. To solve this problem, variance is employed in our proposed method. To further enhance WCE image, Discrete Cosine Transform is used with anisotropic contrast diffusion. Experimental results show that both proposed contrast enhancement algorithm and sharpening WCE image algorithm provide better performance compared with B. Li’s algorithm since SDME and EBCM value is stable whenever number of iterations increases, and sharpness measurement using gradient and PSNR are both improved by 31.5% and 20.3% respectively.

Co-Authors A.K.M. Muzahidul Islam AKM Muzahidul Islam Rosdiana Shahril Shozo Komaki Touraj Khodadadi

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Journal : International Journal of Electrical and Computer Engineering