ASHFAQ AHMAD NAJAR
VIT Bhopal University, Government Degree College Anantnag, Central University of Kerala, Central University of Kashmir, University of Kashmir
0000-0003-2835-2772
About
Ashfaq Ahmad Najar completed his Ph.D. in Computer Science at the Central University of Kerala, India. He holds an M.Sc. in Information Technology from the Central University of Kashmir, India. Ashfaq received the Young Researcher Award from the Institute of Scholars (InSc), certified under the Ministry of MSME & Corporate Affairs, Government of India, for his publication on’’ DDoS Attack Detection using MLP and Random Forest Algorithms.’’ He has published his research in top international journals and conferences. Currently, he is a Graduate Student Member of IEEE, and his research interests include cybersecurity (specifically DDoS security), machine learning, deep learning, network security, and software-defined networks. He qualified UGC NET in 2023.
Employment
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VIT Bhopal University Assistant Professor2024 - Present
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Government Degree College Anantnag Guest Faculty2019 - 2019
Education
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Central University of Kerala Ph.D (Pursuing)2019 - Present
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Central University of Kashmir Master of Information Technology (MSC.IT)2015 - 2017
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University of Kashmir Bachelor of Science in Information Technology (BSC IT)2012 - 2015
Projects & Funding
Projects & funding information is unavailable.
Publications (16)
- LIDS: A Novel Lightweight Intrusion Detection System for DDoS Attacks Save
- Enhancing Sustainability in Intelligent Transportation Systems with Machine Learning-Based Misbehavior Detection Save
- A lightweight intrusion detection system using deep convolutional neural network Save
- DDoS attack detection using CNN-BiLSTM with attention mechanism Save
- AE-CIAM: a hybrid AI-enabled framework for low-rate DDoS attack detection in cloud computing Save
- AI in oncology: comparing the diagnostic and therapeutic potential of claude 3 opus and ChatGPT 4.0 in HNSCC management Save
- NeuroIncept Decoder for High-Fidelity Speech Reconstruction from Neural Activity Save
- A Robust DDoS Intrusion Detection System Using Convolutional Neural Network Save
- A novel CNN-based approach for detection and classification of DDoS attacks Save
- Cyber-Secure SDN: A CNN-Based Approach for Efficient Detection and Mitigation of DDoS attacks Save