Deepak Dahiya  (PhD, PhD)               Educator                Speaker               Motivator              Career Advisor

 Databases    Software Engineering        Cyber Security          Machine Learning        Big Data           Innovation       Strategy          Entrepreneurship        eGovernment

                                                             

Visitors
  • Deepak Dahiya, “Attack Detection Using an Ensemble Model with Improved Score Level Fusion in Cloud Computing”, paper published in Journal of Circuits, Systems and Computers, World Scientific, Jan 2025. Available at: https://doi.org/10.1142/S0218126625502238  (SCIE / Q4).
  • Deepak Dahiya, “Query-based information retrieval system adopting whale manhattan optimization-based deep belief neural network”, paper published in Multimedia Tools and Applications, Springer Link, May 2024. Available at: https://doi.org/10.1007/s11042-024-18783-y  (SCIE / Q2).​
  • Deepak Dahiya, “Cyber attack detection and mitigation process in cloud via deep hybrid model with selected feature set”, paper published in Multimedia Tools and Applications, Springer Link, Vol. 83(6), 2024. Available at: https://doi.org/10.1007/s11042-023-18013-x  (SCIE / Q2).
  • Badar Hamad and Deepak Dahiya, “Performance Investigation of Phishing Website Detection by Improved Deep Learning Techniques”, paper published in Wireless Personal Communications, Springer Nature, Vol. 132(3), 2023. Available at: https://doi.org/10.1007/s11277-023-10736-2  (SCIE / Q3).
  • Deepak Dahiya, “COVID-19 Disease Prediction Utilizing Dilated Convolution Neural Network Based Levy Flight Tunicate Swarm Optimization”, paper published in Wireless Personal Communications, Springer Nature, 2023. Available at: https://doi.org/10.1007/s11277-023-10505-1 (SCIE / Q3).​​​​​
  • Deepak Dahiya, “Hybrid classifier strategy with tuned training weights for distributed denial of service attack detection”, paper published in Concurrency and Computation: Practice and Experience, Wiley, 2022, pp. 1 – 19. Available at: https://onlinelibrary.wiley.com/doi/10.1002/cpe.7547  (SCIE / Q3).
  • Ravish, Rahul Katarya, Deepak Dahiya and Saksham Checker, “Fake News Detection System Using Featured-Based Optimized MSVM Classification”, paper published in IEEE Access, IEEE, Vol. 10, 2022, pp. 113184 – 113199. Available at: https://ieeexplore.ieee.org/document/9928161 (SCIE / Q2).
  • Deepak Dahiya, “DDoS Attacks Detection in 5G Networks: Hybrid Model with Statistical and Higher-Order Statistical Features”, paper published in Cybernetics and Systems Journal, Taylor & Francis, 2022, pp. 1 – 16. Available at: https://doi.org/10.1080/01969722.2022.2122002  (SCIE / Q3).​
  • Mahima Dahiya, Nitin Nitin  and Deepak Dahiya, “Intelligent Cyber Security Framework Based on SC-AJSO Feature Selection And HT-RLSTM Attack Detection ”, paper published in Applied Sciences  Journal, MDPI, Vol. 12, Issue 13, 2022, pp. 1 – 16. Available at: https://www.mdpi.com/2076-3417/12/13/6314   (SCIE / Q2).
  • Doreen Miriam, Deepak Dahiya, Nitin Nitin and R. Rene Robin, “Secured Cyber security algorithm for Health Care System using Blockchain Technology”, paper published in Intelligent Automation & Soft Computing Journal, Tech Science Press, Vol. 35, No. 2, 2023, pp. 1889 – 1906. Available at: https://www.techscience.com/iasc/v35n2/48904.  (SCIE / Q3).
  • Usama Abdur Rahman, C. Jayakumar, Deepak Dahiya and C. R. Rene Robin, “Genetics Based Compact Fuzzy System for Visual Sensor Network”, paper published in Computer Systems Science and Engineering, Tech Science Press, 2023, Vol. 45, No. 1, 2023, pp. 409 – 426. Available at: https://www.techscience.com/csse/v45n1/49295. Project Grant No. R - 2022 - 96 (SCIE / Q3).
  • Deepak Dahiya, Payal Mahajan, Zaheeruddin, Mamta Dahiya, “An Improved Handoff Algorithm for Heterogeneous Wireless Networks”, paper published in Computers, Materials & Continua Journal, Tech Science Press, Vol. 73, No. 2, 2022, pp. 3433 – 3453. Available at: https://www.techscience.com/cmc/v73n2/48325.   Project Grant No. R - 2022 - 74 (SCIE / Q2).
  • Rashmi Sharma, Nitin Nitin and Deepak Dahiya, “Fault Tolerance in the Joint EDF-RMS Algorithm: A Comparative Simulation Study”, paper published in Computers, Materials & Continua Journal, Tech Science Press, Vol. 72, No. 3, 2022, pp. 5197 – 5213. Available at: https://www.techscience.com/cmc/v72n3/47464.   Project Grant No. R - 2022 - 56  (SCIE / Q2).
  • Soma Prathibha, Deepak Dahiya, C.R. Rene Robin,  et. al., “A Novel Technique for Detecting Various Thyroid Diseases Using Deep Learning”, paper published in Intelligent Automation & Soft Computing Journal, Tech Science Press, Vol. 35, No. 1, 2023, pp. 199 – 214. Available at: https://www.techscience.com/iasc/v35n1/48124.  Project Grant No. R - 2022 - 45 (SCIE / Q3).
  • D. Dahiya,, “Automatic Segmentation Of Left Ventricular Endocardium and Epicardium From Cardiac Cine MRI Using Deep Learning,”, paper published in Journal of Tobacco Regulatory Science,   Vol. 7, No. 6-1, Nov 2021. Available at: https://tobreg.org/index.php/journal/article/view/694.  Project Grant No. R – 2021-305        (SCIE / Q4)
  • D. B. Basha, D. Dahiya, E. Veena, “Dielectric, and magnetic properties of zinc copper ferrite nanoparticles”, paper published in Journal of Ovonic Research Vol. 17, No. 6, 2021, p. 589 – 594. Available at: https://chalcogen.ro/index.php/journals/journal-of-ovonic-research    (SCIE / Q4)
  • R Sharma, N Nitin, M AlShehri and Deepak Dahiya, “Priority‑based joint EDF–RM scheduling algorithm for individual real‑time task on distributed systems”, paper published in the Journal of Supercomputing (published online), Springer, 2020. Available at: https://link.springer.com/article/10.1007/s11227-020-03306-x   (SCIE / Q2).
  • Deepak Dahiya and Saji. K. Mathew, “IT Infrastructure Capability and eGovernment System Performance: An Empirical Study”, paper published in the International Journal of Transforming Government: People, Process and Policy, Vol. 12, 2018, Emerald Publishing Ltd., UK. Available at: https://doi.org/10.1108/TG-07-2017-0038  (ABDC / B)  ​​

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