मालवीय राष्ट्रीय प्रौद्योगिकी संस्थान जयपुर (राष्ट्रीय महत्व का संस्थान)
Malaviya National Institute of Technology Jaipur (An Institute of National Importance)
Department of Computer Science & Engineering
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6

Journal Publications

6

Conference Publications

Qualifications
  • Ph.D.(CSE) from NIT Patna(2022)
    M. Tech.(CSE) from NIT Patna(2019)
    B .Tech.(CSE) from MAKAUT(2016)
Research Interests

Intrusion Detection System, Cyber Security, Network Security, Machine and Deep Learning for Security, Generative Modeling.

Professional Background
  • Assistant Professor at Siksha O Anusandhan (Deemed to be) University [12 November 2021 - 26 December 2023].

  • Advanced Programming Lab
  • Database Information System
  • Deep Learning
  • Object-Oriented Analysis and Design
  • Object-Oriented Analysis and Design Lab

    2023
  • Vikash Kumar, Ditipriya Sinha, "Synthetic attack data generation model applying generative adversarial network for intrusion detection" , Computers & Security (Elsevier Advanced Technology) Volume :125 / 103054 / 2023 DOI: https://doi.org/10.1016/j.cose.2022.103054
  • Arpita Srivastava, Ditipriya Sinha, Vikash Kumar, "WCGAN-GP based synthetic attack data generation with GA based feature selection for IDS" , Computers & Security (Elsevier Advanced Technology) Volume :134 / 103432 / 2023 DOI: https://doi.org/10.1016/j.cose.2023.103432
    • 2022
  • Vikash Kumar, Ditipriya Sinha, "Hybrid Approach Using Deep Autoencoder and Machine Learning Techniques for Cyber-Attack Detection" , International Journal of Ambient Computing and Intelligence (IGI Global) Volume :13 / 1-21 / 2022 DOI: 10.4018/IJACI.293098
    • 2021
  • Vikash Kumar, Ayan Kumar Das, Ditipriya Sinha, "UIDS: a unified intrusion detection system for IoT environment" , Evolutionary Intelligence (Springer ) Volume :14 (3) / 47-59 / 2021 DOI: https://doi.org/10.1007/s12065-019-00291-w
  • Vikash Kumar, Ditipriya Sinha, "A robust intelligent zero-day cyber-attack detection technique" , Complex & Intelligent Systems (Springer ) Volume :7 / 22112234 / 2021 DOI: https://doi.org/10.1007/s40747-021-00396-9
    • 2020
  • Vikash Kumar, Ditipriya Sinha, Ayan Kumar Das, Subhash Chandra Pandey, Radha Tamal Goswami, "An integrated rule based intrusion detection system: analysis on UNSW-NB15 data set and the real time online dataset" , Cluster Computing (Springer US) Volume :23 / 1397-1418 / 2020 DOI: https://doi.org/10.1007/s10586-019-03008-x

    2022
  • Kundan Kumar Jha, Prabhkirat Singh, Navin Bharti, Ditipriya Sinha, Vikash Kumar, "GAN-Based Data Generation Technique and Its Evaluation for Intrusion Detection Systems" , Machine Vision and Augmented Intelligence by :Springer Singapore at NIT Jamshedpur / / 2022
    • 2021
  • Vikash Kumar, Sidra Kalam, Ayan Kumar Das, Ditipriya Sinha, "Attack Detection Scheme Using Deep Learning Approach for IoT" , Advanced Computing and Systems for Security: Volume 14 by :Springer, Singapore at University of Culcutta / / 2021
  • Sudhir Kumar Pandey, Vikash Kumar, Ditipriya Sinha, Ayan Kumar Das, "GAN-Based Data Generation Approach for IDS: Evaluation on Decision Tree" , Advanced Computing and Systems for Security: Volume 14 by :SPAST at University of Calcutta / / 2021
    • 2020
  • Suryakant Badde, Vikash Kumar, Kakali Chatterjee, Ditipriya Sinha, "Cyber Attack Detection Framework for Cloud Computing" , Intelligent Data Engineering and Analytics by :Springer Singapore at NIT Surathkal / / 2020
    • 2019
  • Vikash Kumar, Ayan Kumar Das, Ditipriya Sinha, "Statistical Analysis of the UNSW-NB15 Dataset for Intrusion Detection" , Computational Intelligence in Pattern Recognition by :Springer, Singapore at IIEST Shibpur / / 2019
  • Vikash Kumar, Vivek Kumar, Ditipriya Sinha, Ayan Kumar Das, "Simulation Analysis of DDoS Attack in IoT Environment" , 4th International Conference on Internet of Things and Connected Technologies (ICIoTCT) by :Springer at MNIT Jaipur / / 2019

  • Book Chapter, "Cyber-attack detection applying machine learning approach" ISBN:9781003386599 published by - CRC Press Year: 2023 authors- Vikash Kumar, Ditipriya Sinha, Ayan Kumar Das

  • Member of IEEE

  • "A computationally efficient classification system for classifying nonlinear temporal patterns without a hidden layer", Irshed Hussain, Vikash Kumar, Dalton Meitei Thounaojam , Reg.No. 202023104383 [German Patent and Trade Mark Office] Patent Granted Dt.21-08-2023

SNo. Type Title Event Place Schedule
1TalkExploring the Frontiers of Cybersecurity: AI, Federated Learning, and Leading Security FrameworksFive Days FDP on Cyber Security in AI: A Sustainable and Multi-Dimensional GoalsManipal University Jaipur, RajasthanJul-2024
2TalkGenerative AI And Federated LearningFive Days FDP on Data Analytics Using Machine LearningBirla Institute of Technology, Mesra (Deemed University) NOIDA Off Campus (Online Mode)Jun-2024