BMS Institute of Technology and Management

Dr. Prakash G L

Associate Professor glprakash78@gmail.com

Qualification : BE,ME,PhD

Teaching Experience : 22 Years 8 Months | Research Experience : 1

Industry Experience : 0

Specialization : Computer Science and Engineering

Date of Joining : 11-10-2021

About me:

Skills

Achievements

Experience

Journal Publications

Title : A Novel Optimized Lstm Networks For Traffic Prediction In Vanet
Publication Year : 2022
Title : Hybrid Deep Learning Model Based On Intelligent Microbat Routing (imr) And Popularity Content Caching (pcc) For An Effective Caching And Routing In Vehicular Edge Networks
Publication Year : 2022
Title : Hybrid Deep Learning Model Based On Intelligent Microbat Routing (imr) And Popularity Content Caching (pcc) For An Effective Caching And Routing In Vehicular Edge Networks
Publication Year : 2022
Title : Secure Cloud Data Audit Using Protocol And Digital Signature Techniques
Publication Year : 2019
Title : Data Verification Using Block Level Batch Auditing On Multi-cloud Server, International Journal Of Network Security(ijns),
Publication Year : 2018
Title : Data Verification Using Block Level Batch Auditing On Multi-cloud Server
Publication Year : 2018
Title : Graph Structured Data Security Using Trusted Third Party Query Process In Cloud Computing
Publication Year : 2015
Title : Data Security Algorithms For Cloud Storage System Using Cryptographic Method,
Publication Year : 2014
Title : Data Encryption And Decryption Algorithms Using Key Rotations For Data Security In Cloud System
Publication Year : 2014
Title : Optimal Decision Support System Using Multilayer Neural Networks For Incinerator Control,
Publication Year : 2014
Title : "maximizing Network Lifetime In Manet Using Average Energy Flooding"
Publication Year : 2008
Title : Efficient Data Aggregation Using Query Processing In Sensor Networks
Publication Year : 2008
Title : "reliable Delivery With Varying Data Rate In Ad Hoc Wireless Networks",
Publication Year : 2008

Projects

Dr. Prakash G L

Information Science and Engineering

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