Dr Raman Singh
vidwan id: 154506
Assistant Professor, Department of Computer Science and Engineering
Thapar Institute of Engineering & Technology
Expertise
- Computer Science Artificial Intelligence
Publications
Publications
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Scopus
h-index
8
CrossRef
Citations
379
h-index
7
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IEEE
Bio
Cybersecurity, Network Security, Artificial Intelligence, Cyber Physical Systems
Personal Details
- Male
- Assistant Professor , Thapar Institute of Engineering & Technology
- Thapar Institute of Engineering and Technology, Bhadson Rd, Adarsh Nagar, Prem Nagar
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Co-Authors (6)
Chitkara University, Punjab
Panjab University
Thapar Institute of Engineering & Technology
Panjab University
Thapar Institute of Engineering & Technology
Thapar Institute of Engineering & Technology
Scholarly Work
An adaptive security system for optimum inter-domain Virtual Machines (VM) migration management in dynamic cloud environment
Funding Agency: Department of Science and Technology, Govt. of India
Co-Principal Investigator
11.79 Lacs
2018 - Ongoing
Development of Novel Network Traffic Dataset Abridging Technique for Intrusion Detection System
Funding Agency: TIET
Principal Investigator
4.0 Lacs
2018 - Ongoing
An Efficient Software Defined Network (SDN) - based Framework for Big Data Processing in Cloud Data Center
Funding Agency: Department of Science and Technology, Govt. of India
Co-Principal Investigator
17.59 Lacs
2017 - Ongoing
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Scholarly Publications
Integration of WSN with iot applications: A vision, architecture, and future challenges
Open AccessStatistical vertical reduction-based data abridging technique for big network traffic dataset
Open Access
10.1002/dac.4249
60
61
Key management using Chebyshev polynomials for mobile ad hoc networks
Open AccessInternet attacks and intrusion detection system: A review of the literature
Open Access
10.1108/OIR-12-2015-0394
37
72
Performance analysis of an Intrusion Detection System using Panjab University Intrusion Dataset
Open AccessAn intrusion detection system using network traffic profiling and online sequential extreme learning machine
Open Access
10.1016/j.eswa.2015.07.015
200
245