Qualification: 
MSc, BSc
binu@am.amrita.edu

Binu P. K. currently serves as an Assistant Professor at the Department of Computer Science Applications at Amrita School of Engineering, Amritapuri. He has completed M. Sc. in Computer Science.

Publications

Publication Type: Conference Paper

Year of Publication Title

2016

P. K. Binu, Sreekutty, H. L., and Sreekutty, V. S., “Security plugin for Mozilla which integrates cryptography and steganography features”, in 2016 Second International Symposium on Emerging Topics in Computing and Communications, 2016.[Abstract]


Information security is the most debated and one of the hot topics in data communication. There are many security problems exist in communication technology which are very critical. One such problem is related to the confidentiality of the message exchange in web. The two prevalent strategies to provide message secrecy are Cryptography and Steganography. Cryptography conceals the existence of the message and the steganography mutilates the message itself. In this paper, we are mainly focusing on the strength of combining cryptographic and steganographic principles in enhancing the security of web based transactions. Web browser is the basic client side application that we use to execute such critical and noncritical transactions. Mozilla Firefox is one of the most popular open source web browsers and various studies reveals that more than sixty percentage of the web users are depending on this browser. There are certain security plug-ins available for Firefox browser but the one which integrates cryptographic and steganographic features is still missing. Taking this into consideration, in this work, we propose a plug-in for Mozilla Firefox browser which enhances the security features of all web based transactions. The plug-in can ensure high level of confidentiality in all data transactions.

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2016

P. K. Binu and Viswaraj, V. S., “Android based application for efficient carpooling with user tracking facility”, in Second International Symposium on Emerging Topics in computing and Communications, 2016.[Abstract]


Nowadays the number of cars with empty seats travelling a long distance are increasing on the roads. By bringing people, who are travelling to the same destination, in a single car can decrease the number of vehicles on the road and thereby reduce the pollution to a large extent. Web and mobile applications for carpooling are very common now which provide basic features like sharing of journey, user rating etc. However, all these applications could not provide efficient location tracking. In this paper, we propose an efficient mobile application for carpooling with some unique features like user location tracking and traffic anomaly detection. The location tracking is included as a security feature which enables the user to share his or her current location with their near and dear ones. Anomaly detection feature can reduce the unnecessary wastage of time during the journey by analyzing the pre reported traffic anomalies like processions, accidents, road works etc. reported by others and redirecting the vehicle through another best route. But there is a chance for false anomaly reporting possible. In order to make this feature foolproof, we propose a truth estimation technique using recursive EM algorithm in this paper. Recursive EM algorithm is an efficient streaming algorithm generally implemented in social sensing application as it can solve the estimation problem on a real time basis. This android based application consist of a user friendly interface through which user can create and manage trips, track location, report an anomaly, etc. Location tracking is implemented using Google Map API by collecting the GPS data from each client and feeding it into the database in real time.

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