Manish Snehi
Also known as: Snehi M
Infosys Limited, Punjabi University, Birla Institute of Technology and Science, Pilani, Kurukshetra University
About
Manish Snehi received his Bachelor Degree (B.Tech.) from Kurukshetra University, Kurukshetra, Haryana, India with specialization in Computer Engineering in 2002 and Master Degree (MS) in Software Systems from Birla Institute of Technology and Science (BITS), Pilani, Rajasthan, India in 2005. He has 20 years of professional experience in Smart Healthcare, Medical Devices, Internet of Things, Cyber Security, and Remote Device Management domains. Presently, he is working as a Senior Technology Architect in the department of Engineering Services in Infosys Limited, Chandigarh, India. He registered his Ph.D. Degree from Punjabi University, Patiala, Punjab, India.
Employment
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Infosys Limited Senior Technology Architect2008 - Present
Education
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Punjabi University Doctorate of Philosophy
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Birla Institute of Technology and Science, Pilani Master of Sciences
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Kurukshetra University Compute Engineering
Projects & Funding
Projects & funding information is unavailable.
Publications (18)
- Foggier skies, clearer clouds: A real-time IoT-DDoS attack mitigation framework in fog-assisted software-defined cyber-physical systems Save
- Performance Evaluation of Path Restoration Techniques in a Network Save
- A Novel Distributed Stack Ensembled Meta-Learning-Based Optimized Classification Framework for Real-time Prolific IoT Traffic Streams Save
- IoT-based DDoS on Cyber Physical Systems: Research Challenges, Datasets and Future Prospects Save
- Investigating Convergence of Cyber Physical Systems and Big Data Analytics to Develop Real-Time Defense Solution Save
- Empirical Investigation of IoT Traffic in Smart Environments: Characteristics, Research Gaps and Recommendations Save
- Vulnerability retrospection of security solutions for software-defined Cyber-Physical System against DDoS and IoT-DDoS attacks Save
- Global Intrusion Detection Environments and Platform for Anomaly-Based Intrusion Detection Systems Save
- Apprehending Mirai Botnet Philosophy and Smart Learning Models for IoT-DDoS Detection Save
- Introspecting Intrusion Detection Systems in Dealing with Security Concerns in Cloud Environment Save