Admission Against Cancellation/Lapsed Seats
Apply Now!
MBA Admissions Open
Apply Now!
Apply Now
Ph.D. Applications Open- Jan 2026
Apply Now
Fee Payment (EMI)
GrayQuest Propelld
Dr. Keshav Kaushik

Dr. Keshav Kaushik

Associate Professor , Computer Science & Engineering (CSE)

keshav.kaushik@sharda.ac.in

About

Dr. Keshav Kaushik is an Associate Professor at the Center for Cyber Security and Cryptology, Sharda School of Computing Science & Engineering, Sharda University, India. He holds a Ph.D. in Computer Science and Engineering and has around 12 years of full-time academic, research, and teaching experience. His research interests include cybersecurity, digital forensics, IoT and firmware security, AI/ML for cybersecurity, blockchain-enabled trust, cyber-physical systems, UAV/6G security, and quantum/post-quantum security. He has published 280+ research papers, authored/edited 40 books, and holds multiple granted patents and copyrights. He has been listed among the Worlds Top 2% Scientists by Stanford University/Elsevier for 2024 and 2025.

Experience

Dr. Keshav Kaushik is an Associate Professor at the Center for Cyber Security and Cryptology, Sharda School of Computing Science & Engineering, Sharda University, India. He is an accomplished academic, researcher, editor, author, speaker, and cybersecurity professional working at the forefront of secure, intelligent, and trustworthy computing systems. He holds a Ph.D. in Computer Science and Engineering from the University of Petroleum and Energy Studies (UPES), Dehradun, an M.Tech in Information Technology from YMCA University of Science and Technology, Faridabad, and a B.Tech in Computer Science and Engineering from the University Institute of Engineering and Technology, Maharshi Dayanand University, Rohtak. With around 12 years of full-time academic, teaching, research, and mentoring experience, Dr. Kaushiks work spans cybersecurity, digital forensics, IoT and firmware security, AI/ML-enabled security analytics, blockchain-enabled trust, cyber-physical systems, cloud and network security, UAV/6G security, and quantum/post-quantum technologies. He has published 280+ research papers, including SCI/SCIE/Scopus-indexed journals and Scopus-indexed conference papers, authored/edited 40 books, contributed 30 book chapters, and holds 15 granted patents, 6 published patents, and 5 granted copyrights. He has been listed among the Worlds Top 2% Scientists by Stanford University, USA for 2024 and 2025, reflecting his growing global research impact. Dr. Kaushik also holds significant editorial leadership roles. He serves as Guest Editor in the IEEE Journal of Biomedical and Health Informatics and as Associate Editor for reputed journals including Springer Nature Scientific Reports, IEEE Transactions on Dependable and Secure Computing, MDPI Journal of Cybersecurity and Privacy, Frontiers in Bioinformatics, International Journal of Cybersecurity and Risk Assessment, Taylor & Francis International Journal of Computers and Applications, International Journal of Sensors, Wireless Communications and Control, and International Journal of Information Security and Privacy. He is also associated with editorial roles in IECE Transactions on Emerging Trends in Network Systems, IECE Transactions on Sustainable Computing, and the Springer International Cybersecurity Law Review. Beyond research publications, Dr. Kaushik actively contributes to research leadership, academic mentoring, editorial service, invited talks, workshops, and capacity building. He has delivered 50+ national and international expert talks, training sessions, and workshops in cybersecurity and digital forensics. His teaching philosophy is strongly research-led, practice-oriented, and impact-driven, with emphasis on hands-on learning, real-world cybersecurity problem solving, ethical technology development, and mentoring students and early-career researchers toward high-impact outcomes. His broader academic mission is to build strong bridges between academia, industry, government, and international research communities in cybersecurity, AI, digital trust, and next-generation computing. He is open to meaningful collaborations in cybersecurity, AI for security, digital forensics, IoT/firmware security, blockchain, secure intelligent systems, cyber-physical systems, 6G/UAV security, and quantum/post-quantum technologies. 

Qualification
  • Ph.D (CSE)
  • M.Tech (IT)
  • B.Tech (CSE)
Award & Recognition

  • Listed in the Worlds Top 2% Scientists List 2025 & 2024 by Stanford University, USA.
  • Fellow faculty intern in SUMMER FACULTY RESEARCH FELLOW PROGRAMME- 2016 at Indian Institute of Technology (I.I.T.) Ropar.
  • Received the academic excellence award as a Best Teacher in 2024 by UPES.
  • Certified Ethical Hacker (C.E.H.) v11 by EC-Council.
  • CQI and IRCA Certified ISO/IEC 27001:2013 Lead Auditor.
  • Quick Heal Academy Certified Cyber Security Professional (QCSP).
  • IBM Cybersecurity Analyst.
  • Delivered 50+ national and international talks on cybersecurity and digital forensics.
  • Appreciation certificate from AICTE, MHRD and i4c for contributing as a mentor in Smart India Hackathon 2017 (S.I.H. 2017) under Indian Space Research Organization (ISRO).
  • 2 times Graduate Aptitude Test in Engineering (GATE) qualified (2012 & 2016) with 96.07 percentile.
  • Awarded as best volunteer by Dr. A.P.J. Abdul Kalam at Science Conclave, M.D.U. Rohtak.

Research

Total Publications: 280+

Google Scholar: https://scholar.google.com/citations?user=n2aiyFoAAAAJ&hl=en
Scopus: https://www.scopus.com/authid/detail.uri?authorId=57189443247
ORCID: https://orcid.org/0000-0003-3777-765X

 

  • Bhardwaj, A., Kaushik, K., Bharany, S., & Kim, S. (2023). Forensic analysis and security assessment of IoT camera firmware for smart homes. Egyptian Informatics Journal, 24(4), 100409. https://doi.org/10.1016/J.EIJ.2023.100409 (IF: 5.2) (SCIE Indexed)
  • Bhardwaj, A., & Kaushik, K. (2023). Metaverse or Metaworst with Cybersecurity Attacks. IT Professional, 25(3), 54–60. https://doi.org/10.1109/MITP.2023.3241445 (IF: 2.6) (SCIE indexed)
  • Bhardwaj, A., Kaushik, K., Alshehri, M., Mohamed, A. A.-B., & Keshta, I. (2022). ISF: Security Analysis and Assessment of Smart Home IoT-based Firmware. ACM Transactions on Sensor Networks. https://doi.org/10.1145/3578363 (IF: 2.560) (SCIE indexed)
  • Kaushik, K., Bhardwaj, A., Dhar Dwivedi, A., & Singh, R. (2022). Machine Learning-Based Regression Framework to Predict Health Insurance Premiums. International Journal of Environmental Research and Public Health 2022, Vol. 19, Page 7898, 19(13), 7898. https://doi.org/10.3390/IJERPH19137898 (IF: 4.614) (SCIE indexed)
  • Attaullah, H. M., Khan, I. U., Alam, M. M., Mohd, M., Ud, S., & Kaushik, K. (2026). RoboLSTM-IDS: multi-dataset evaluation of deep learning framework for UAV network. PeerJ Computer Science, 12, e3500. https://doi.org/10.7717/peerj-cs.3500(SCIE indexed)
  • Chhabra, G., Kaushik, K., Singh, P., Bathla, G., Almogren, A., Bharany, S., Altameem, A., Ateeq, &, & Rehman, U. (2024). Internet of things based smart framework for the safe driving experience of two wheelers. Scientific Reports 2024 14:1, 14(1), 1–20. https://doi.org/10.1038/s41598-024-72357-4 (IF: 3.8) (SCIE indexed)
  • Bhardwaj, A., & Kaushik, K. (2022). Investigate Financial Crime Patterns Using Graph Databases. IT Professional, 24(4), 27–36. https://doi.org/10.1109/MITP.2022.3157029 (IF: 2.59) (SCIE indexed)
  • Kaushik, K., Bhardwaj, A., Bharany, S., Alsharabi, N., Rehman, A. U., Eldin, E. T., & Ghamry, N. A. (2022). A Machine Learning-Based Framework for the Prediction of Cervical Cancer Risk in Women. Sustainability 2022, Vol. 14, Page 11947, 14(19), 11947. https://doi.org/10.3390/SU141911947 (IF: 3.889) (SCIE indexed)
  • Bhardwaj, A., Kaushik, K., Bharany, S., Elnaggar, M. F., Mossad, M. I., & Kamel, S. (2022). Comparison of IoT Communication Protocols Using Anomaly Detection with Security Assessments of Smart Devices. Processes 2022, Vol. 10, Page 1952, 10(10), 1952. https://doi.org/10.3390/PR10101952 (IF: 3.352) (SCIE indexed)
  • Bhardwaj, A., Kaushik, K., Maashi, M. S., Aljebreen, M., & Bharany, S. (2022). Alternate Data Stream Attack Framework to Perform Stealth Attacks on Active Directory Hosts. Sustainability 2022, Vol. 14, Page 12288, 14(19), 12288. https://doi.org/10.3390/SU141912288 (IF: 3.889) (SCIE indexed)
  • Bhardwaj, A., Kaushik, K., Bharany, S., Rehman, A. U., Hu, Y.-C., Eldin, E. T., & Ghamry, N. A. (2022). IIoT: Traffic Data Flow Analysis and Modeling Experiment for Smart IoT Devices. Sustainability 2022, Vol. 14, Page 14645, 14(21), 14645. https://doi.org/10.3390/SU142114645 (IF: 3.889) (SCIE indexed)
  • Kaushik, K., Bhardwaj, A., Dahiya, S., Maashi, M. S., Moteri, M. al, Aljebreen, M., & Bharany, S. (2022). Multinomial Naive Bayesian Classifier Framework for Systematic Analysis of Smart IoT Devices. Sensors 2022, Vol. 22, Page 7318, 22(19), 7318. https://doi.org/10.3390/S22197318 (IF: 3.847) (SCIE indexed)
  • Kaushik, K., Bhardwaj, A., Kumar, M., Gupta, S. K., & Gupta, A. (2022). A novel machine learning-based framework for detecting fake Instagram profiles. Concurrency and Computation: Practice and Experience, e7349. https://doi.org/10.1002/CPE.7349 (IF: 1.831) (SCIE indexed)
  • Bhardwaj, A., Kaushik, K., Alomari, A., Alsirhani, A., Mujib Alshahrani, M., & Bharany, S. (2022). BTH: Behavior-Based Structured Threat Hunting Framework to Analyze and Detect Advanced Adversaries. Electronics 2022, Vol. 11, Page 2992, 11(19), 2992. https://doi.org/10.3390/ELECTRONICS11192992 (IF: 2.69) (SCIE indexed)
  • Kumar, A., Augusto de Jesus Pacheco, D., Kaushik, K., & Rodrigues, J. J. P. C. (2022). Futuristic view of the Internet of Quantum Drones: Review, challenges and research agenda. Vehicular Communications, 100487. https://doi.org/10.1016/J.VEHCOM.2022.100487 . (IF: 5.8) (SCIE indexed)
  • Bhardwaj, A., Alshehri, M. D., Kaushik, K., Alyamani, H. J., & Kumar, M. (2022). Secure framework against cyber attacks on cyber-physical robotic systems. Https://Doi.Org/10.1117/1.JEI.31.6.061802, 31(6), 061802. https://doi.org/10.1117/1.JEI.31.6.061802 (IF: 2.2) (SCIE indexed)

 

Certifications

  • Certified Ethical Hacker (C.E.H.) v11 by EC-Council.
  • CQI and IRCA Certified ISO/IEC 27001:2013 Lead Auditor.
  • Quick Heal Academy Certified Cyber Security Professional (QCSP).
  • IBM Cybersecurity Analyst.
  • Certified Network Security Specialist by ICSI (International CyberSecurity Institute), U.K.
  • Network Security Associate certified by Network Security Engineer (NSE), Fortinet.
  • CISCO certified in Introduction to Cybersecurity.
  • Coursera certified in 'Blockchain and Cryptocurrency Explained', 'Blockchain: Foundations and Use Cases', 'Introduction to Blockchain: Using and Securing Cryptocurrencies', 'Cybersecurity and Mobility', 'Introduction to the Internet of Things and Embedded Systems', 'Cybersecurity and the Internet of Things', 'International Cyber Conflicts', 'I.T. Security: Defense against the digital dark arts', 'Introduction to Cybersecurity Tools & Cyber Attacks'.
  • edX certified in 'Blockchain Fundamentals' professional course offered by the University of Berkley, 'Blockchain and FinTech: Basics, Applications, and Limitations' course offered by the University of Hong Kong.
  • Certified Cyber Security Analyst by Lucideus Tech. Pvt. Ltd.
  • Cybrary certified in "Web Application Penetration Testing", "Computer and Hacking Forensics", "Intro to Malware Analysis and Reverse Engineering", "Incident Response and Advanced Forensics", "Advanced Penetration Testing".

Area of Interest

  • Cybersecurity and Information Security
  • Digital Forensics and Cybercrime Investigation
  • IoT Security and Smart Home Security
  • Firmware Security and Firmware Forensics
  • AI/ML for Cybersecurity
  • Intrusion Detection and Threat Intelligence
  • Network Security and Cloud Security
  • Cyber-Physical Systems Security
  • Critical Infrastructure Security
  • Blockchain Security and Blockchain-enabled Trust
  • Privacy-Preserving Security Analytics
  • Secure Software Engineering
  • Data Science and Intelligent Security Systems
  • UAV and Drone Network Security
  • 5G/6G and Next-Generation Network Security
  • Quantum and Post-Quantum Security
  • Metaverse, AI, and Emerging Technology Security
  • Healthcare Cybersecurity and Secure Digital Health Systems