Sabarish B. A. currently serves as Assistant Professor at Department of Computer Science and Engineering, School of Engineering, Coimbatore Campus. His areas of research include Wireless Sensors and Data Mining.






Publication Type: Journal Article
Year of Publication Publication Type Title
2015 Journal Article B.A. Sabarish, Divya, C., Shankar, H., and Pradisa, S., “A novel method to preserve privacy: Two- tiered privacy preservation”, International Journal of Applied Engineering Research, vol. 10, pp. 6659-6674, 2015.[Abstract]

Advances in hardware technology like mobile phones, GPS enabled devices etc., have increased the capability to locate and store the spatio-temporal data of moving objects and thereby obtain information about individuals and their behavior. Data leakage from such Location Based Services (LBS) is increasing with the exponential growth of technology, resulting in an innate risk of privacy threats. Data, thus obtained, may be used for a variety of intrusive and malicious purposes and privacy attacks, such as user identification attack, sensitive location tracking attack, sequential tracking attack, etc. A framework is essential to the preserve location privacy of moving objects. In this paper, a two-tier security framework is proposed. In the first tier, algorithms SSET and SIMET are implemented to provide efficient means to encrypt the SIM and IMEI numbers respectively, thus protecting user identity. In the second-tier, Enhanced Privacy Framework (EPF) is used which is a combination of HERMES framework and Statistical framework that protects users against the major attacks on location privacy. Combining these two approaches, a new method named TTPP (Two Tiered Privacy Preservation) is proposed. © Research India Publications.

More »»
2015 Journal Article B.A. Sabarish, Mohan, Sb, MamthaShri, D. Pb, Ajit, R. Cb, and Arun, A. V. Rb, “Automating runout decisions in cricket using image processing”, International Journal of Applied Engineering Research, vol. 10, pp. 25493-25500, 2015.[Abstract]

Decision making is crucial in any part of the game to ensure fairness among the teams. An unfair decision due to human error may change the result of the game. Cricket is the game which is most worshiped after the game of soccer. This paper introduces the concept of automating run out decisions given by the third umpire, which is achieved through various image processing techniques and algorithms like Speeded Up Robust Features, absolute difference algorithm, edge detection etc. We work on the frame in which the bails have first deflected. Popping crease position and leg/bat position of the batsman in the selected frame is compared to make a decision on run out. Implementation of the system shows better accuracy than human decision and also improves the quality of decision making process. © Research India Publications.

More »»
Faculty Details



Faculty Research Interest:

Faculty Email: