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Prof. Logeswari G

Assistant Professor

Email id: logeswari.g@vit.ac.in

Ph.D : Anna University, CEG Campus

Research Area : Intrusion Detection System, Software Defined Networks, Machine Learning

Employee ID53368
Educational details (Please mention all the degrees with latest first)
DegreePassed out yearSpecializationInstitute/University/ College
Ph.DPursuing     (Thesis  Submitted)Information & Communication EngineeringCollege of Engineering – Guindy, Anna University
M.Tech2014Information TechnologyMadras Institute of Technology, Anna University
B.E2012Computer Science and EngineeringMohamed Sathak A.J College of Engineering, Anna University
Post-Doctoral Experience if any
Research Details
Areas of SpecializationSoftware Defined Networks, Information Security, Machine Learning, Intrusion Detection System
ORCID ID0000-0002-7534-5527
Scopus ID56483311500
H-index (scopus)4
Google Scholar ID8xHWiDEAAAAJ
i10 index7
On-going Consultancy Project Details
On-going Consultancy Project TitleFunding Agency
Completed Consultancy Project Details               
Completed Consultancy Project TitleFunding Agency
Ongoing Funded Project Details              
Ongoing Funded Project TitleFunding Agency
Completed Funded Project Details
Completed Funded Project TitleFunding Agency
Patent Published Details
Patent Published TitlePatent Published Application No.
Mini PC Device for Computer TableApplication No. 353792-001

Filed Date: November 2021.

Patent Granted Details
Patent Granted TitlePatent Granted Application No.
Book / Book Chapter Published Details
TitlePublisherYear
Hybrid Intrusion Detection System Using Machine Learning Algorithm.

 

Lecture Notes in Networks and Systems, vol. 572, Springer, Singapore.2023
Innovative Generation of Transcripts and Validation Using Public Blockchain: Ethereum.

 

Lecture Notes on Data Engineering and Communications Technologies, vol. 163, Springer, Singapore.2023
Designing a SDN-Based Intrusion Detection and Mitigation System Using Machine Learning Techniques.

 

Studies in Autonomic, Data-driven and Industrial

Computing, Springer, Singapore.

2023
Multistage Intrusion Detection System using Machine Learning Algorithm.

 

Lecture Notes on Data Engineering and Communications Technologies, vol 126, Springer, Singapore.2022
A New Intrusion Detection and Prevention System Using a Hybrid Deep Neural Network in Cloud Environment.

 

Lecture Notes on Data Engineering and Communications Technologies, vol 117, Springer, Singapore.2022
A Six-Point Based Approach for Enhanced Broadcasting Using Selective Forwarding Mechanism in Mobile Ad Hoc Networks.

 

Smart Innovation, Systems and Technologies, vol 302, Springer, Singapore.2022
Collision Elimination for Random Behavior Nodes in Ad Hoc Wireless Network Using Early Backoff Announcement (EBA).

 

IFIP Advances in Information and Communication Technology, vol 651, Springer, Cham.2022
Awards & Recognition Details (only national and international awards and recognitions)
Name of the award, awarding agency, year of award
1.       Best Paper Award- “Hybrid Intrusion Detection System using Machine Learning Algorithm”, presented at 3rd International Conference on Data Analytics& Management (ICDAM-2022) organized jointly by the Karkonosze University of Applied Sciences, Poland in association with the University of Craiova Romania, Warsaw University of Life Sciences Poland and Tun Hussein Onn University during 25-26, June, 2022.
2.       Best Paper Award- “A New Intrusion Detection and Prevention System using a Hybrid Deep Neural Network in Cloud Environment”, presented at the 4th International Conference on Computer Networks, Big Data and IoT (ICCBI – 2021) organized by CARE College of Engineering, Trichy, India, during 09-10,December 2021.

 

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