Prof. Vinita Jindal
Keshav Mahavidyalaya, University of Delhi, University of Delhi, Madurai Kamaraj University, Indira Gandhi National Open University
About
Dr Vinita Jindal is a Professor with more than 22 years of experience in the Department of Computer Science, Keshav Mahavidyalaya, University of Delhi. Before joining the Keshav Mahavidyalaya, University of Delhi, she worked as a Manager/ Sr. Faculty in the PCTI Ltd. from July 1999 to July 2001. She did her Doctorate in Computer Science from the University of Delhi in 2018. She did her M.Phil. in Computer Science from Madurai Kamaraj University in 2007, MCA from IGNOU in 2000 and Bachelor in Mathematics from the University of Delhi in 1997. She is mainly working in the area of Artificial Intelligence and Computer Networks. Her areas of interest include Neural Networks, Machine Learning, Cybersecurity, Intrusion Detection Systems, Dark Web, Deep Learning, Recommender Systems and Vehicular Ad-hoc Networks to name a few. She has published more than 40 research articles in good impact journals, book chapters and Reputed conferences.
Employment
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Keshav Mahavidyalaya, University of Delhi Professor2021 - Present
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Keshav Mahavidyalaya, University of Delhi Associate professor2018 - 2021
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Keshav Mahavidyalaya, University of Delhi Assistant professor2001 - 2018
Education
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University of Delhi Ph. D2013 - 2018
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Madurai Kamaraj University M.Phil. (CS)2005 - 2007
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Indira Gandhi National Open University MCA1997 - 2000
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University of Delhi B.A. (Hons.) Mathematics1994 - 1997
Projects & Funding
Projects & funding information is unavailable.
Publications (61)
- A Comprehensive Review for the Use of ML and DL Based Techniques in FANET Routing Save
- ATAC: Analysis of Threats and Attacks in Cloud Computing Save
- Enhancing Trust in Online Reviews: A Cross-Domain Fake Review Detection Framework Using Generative AI Save
- DBESN: A novel model for detecting and identifying malicious code in a smart contract Save
- Cross-Domain Fake Review Detection via Orthogonal Counterfactual Representations Save
- FIHIM: a framework for information hiding in IPv6 using micro-protocols Save
- LC-IPL: locating covert data in the IPv4 header using LSTM Save
- MOP-N: A Hybrid AI Model for Automated Deployment of Guns in Dynamic Wargaming Scenario Save
- Ranking of hotels using customer reviews: an LDA—picture fuzzy TOPSIS approach Save
- Security Analysis of Cloud Attacks using Conventional Cryptographic Techniques, A Case Study based on CloudSim Tool Save