Work place: Department of Computer Science, King Abdulaziz University, Jeddah 21589, Saudi Arabia
E-mail: vthayanathan@kau.edu.sa
Website:
Research Interests: Information Security, Network Security, Information Systems, Coding Theory, Information Theory
Biography
Vijey Thayananthan received his Ph.D. degree in Engineering (Communication Engineering) from Lancaster University in 1998, UK. He is currently an Associate Professor at King Abdulaziz University, KSA. His research interests include wireless communication algorithm design and analysis, security management of big data, applied cryptography, computer security, cybersecurity and wireless sensor network.
By Ashwag Alrehily Vijey Thayananthan
DOI: https://doi.org/10.5815/ijcnis.2018.05.04, Pub. Date: 8 May 2018
Applications of computer security issues are limited to the operating systems and gadgets used within the computers and all other devices integrated with supercomputers. With the growing number of users, software developers face the software piracy which could affect the computer systems. Currently, the major problem for computers in the different industries is software piracy. Despite many computer security techniques, we have proposed a software watermark design based on return-oriented programming (ROP). Here, the new design of the software watermark is considered as a method in which secure Hash algorithm plays an important role to enhance the performance of the computer security. In this method, we focused on gadgets analysis gadgets categories and a large number of gadgets. In this analysis, we selected Sjeng benchmark and ROP with different approaches. As a theoretical result, resilience and stealthy are compared with existing results. This approach can be useful to improve the application of the computer security laws with legal procedures depended on the proposed computer security algorithms and analysis.
[...] Read more.By Vijey Thayananthan Riaz Ahmed Shaikh
DOI: https://doi.org/10.5815/ijcnis.2016.09.01, Pub. Date: 8 Sep. 2016
A vehicular ad hoc network (VANET) is the emerging technology that allows the drivers to keep the road safety throughout the journey. In VANETs, vehicles can collaborate with each other by exchanging the messages. When these messages are incorrect, drivers will have to face many serious problems which include traffic congestion and minor to fatal road accidents. Therefore, drivers need a method which provides the correct decision using risk analysis calculated from the vehicle context. For this purpose, we propose a new contextual risk-based decision methodology for vehicular networks. This methodology can be used to provide robust and reliable decisions.
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