Back close
Admissions

Dr. Remyakrishnan P.

Assistant Professor (Sr. Gr), School of Computing, Coimbatore

Qualification: B-Tech, M.Tech, Ph.D
@amrita.edu

Bio Publications
Bio

Dr. Remyakrishnan P is currently an Assistant Professor (Sr. Gr) in the Department of Computer Science and Engineering at Amrita Vishwa Vidyapeetham, Coimbatore, India. She received her Ph.D. from the National Institute of Technology Calicut (NIT Calicut). She has many distinguished academic records to her credit, including a First Class with Distinction in M.Tech in Computer Science and Engineering from Rajagiri School of Engineering, Cochin, and Distinction with Honors in B. Tech. Computer Science and Engineering from Calicut University, Kerala. She has qualified UGC-NET/JRF. She has an industrial experience of 3 years.
Dr.Remyakrishnan is working in the research areas of Vehicular Network Security, IoV security, Bigdata Analytics, and Real-time testbed design of VANET. She has published many papers and book chapters in peer-reviewed international journals and conference proceedings. She has worked on DST/SERB-funded projects. She serves as a reviewer for several reputed international journals.

Publications

Journal Article

Year : 2022

A Biometric Secured Anonymous Communication Protocol for Vehicular Ad hoc NETwork

Cite this Research Publication : Remyakrishnan P., Arun Raj Kumar P., “A Biometric Secured Anonymous Communication Protocol for Vehicular Ad hoc NETwork.,” International Journal of Computers & Electrical Engineering, vol. 100, Elsevier 2022

Publisher : Elsevier

Year : 2021

Detection and Mitigation of SmartBlack hole and Gray Hole Attacks in VANET Using Dynamic Time Warping

Cite this Research Publication : Remyakrishnan P., Arun Raj Kumar P., “Detection and Mitigation of SmartBlack hole and Gray Hole Attacks in VANET Using Dynamic Time Warping.,”Wireless Personal Communication, pp. 1-36, Springer US 2021.

Publisher : Springer US

Year : 2014

Enhancing Security with intrusion detection in VANETs

Cite this Research Publication : Remyakrishnan.P., UdayBabu, Priya.C.G. &Visakh R, “Enhancing Security with intrusion detection in VANETs,” NTECC, 25-26, April-2014.

Publisher : NTECC

Year : 2014

Authentication Techniques in VANET- A survey

Cite this Research Publication : RemyaKrishnan.P, Tripti C, ”Authentication Techniques in VANET- A survey”, International Journal of Advanced Research In Computer Science, Vol , No:4, April-2014. (Scopus Indexed)

Publisher : International Journal of Advanced Research In Computer Science

Year : 2014

A Novel Approach For User Authentication in VANETs using Biometrics

Cite this Research Publication : RemyaKrishnan.P, Tripti C,” “A Novel Approach For User Authentication in VANETs using Biometrics”, International Conference on ICT for Bridging Future, 2014, Springer AISC 337,338

Publisher : Springer AISC

Conference Paper

Year : 2021

A Dynamic Threshold Based Techniquefor Cooperative Blackhole Detection in VANET

Cite this Research Publication : Remyakrishnan P., Arun Raj Kumar P., “A Dynamic Threshold Based Techniquefor Cooperative Blackhole Detection in VANET,” In Proceedings of 5th International Conferenceon Intelligent DataCommunication Technologies and Internet of Things (ICICI-2021), vol 101, Springer, Singapore

Publisher : Springer

Year : 2020

Security and Privacy in VANE:Concepts, Solutions and Challenges

Cite this Research Publication : Remya Krishnan P., and Arun Raj Kumar P.,“Security and Privacy in VANE:Concepts, Solutions and Challenges.”, In Proceedings of 5th InternationalConference on Inventive Computation Technologies (ICICT) (2020), pp. 789794,IEEE

Publisher : IEEE

Book Chapter

Year : 2021

Privacy-preserving techniques in big data

Cite this Research Publication : Remyakrishnan P., Arun Raj Kumar P., “Privacy-preserving techniques in big data (Computing, 2021),” ’Handbook of Big Data Analytics Volume 2 : Applications in ICT, security and business analytics, Chap. 5, pp. 103

Publisher : Handbook of Big Data Analytics Volume 2 : Applications in ICT, security and business analytics

Admissions Apply Now