Department of Digitalization

Ashutosh Dhar


Ashutosh Dhar Dwivedi is a Postdoctoral Researcher at the Department of Digitalization at the Copenhagen Business School (CBS). His research field includes Cyber Security, Cryptography (Symmetric Key, Lightweight, Post Quantum, Public Key) and Blockchain.

He holds a PhD degree in Cryptography from the Polish Academy of Sciences, Poland in 2020. Before joining CBS, he worked as a postdoc at the Technical University of Denmark, Denmark, a full time Visiting Researcher at the University of Waterloo, Canada and a Research Associate at the Brandon University, Canada.

He has been invited by Heidelberg Laureate Forum, Germany (2019) to participate among the top 100 young researchers worldwide in Computer Science. He has served as a Technical Program Committee member at renowned international conferences. At the same time, he is also serving as a guest editor, reviewer board member of many journals.

Primary research areas
  • Blockchain-based technologies
  • Cyber Security and Cybersecurity Analytics
  • Cryptography (lightweight, block cipher, hash function, Privacy)
  • Machine Learning
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Thesis focused on my research areas (Cryptography, Blockchain)

Publications sorted by:
Ashutosh Dhar Dwivedi; Gautam Srivastava / Security Analysis of Lightweight loT Encryption Algortihms : SIMON and SIMECK.
In: Internet of Things, 6.1.2023
Journal article > peer review
Deepraj Chowdhury; Anik Das; Ajoy Dey; Shreya Sarkar; Ashutosh Dhar Dwivedi; Raghava Rao Mukkamala; Lakhindar Murmu / ABCanDroid : A Cloud Integrated Android App for Noninvasive Early Breast Cancer Detection Using Transfer Learning .
In: Sensors, Vol. 22, No. 3, 2.2022
Journal article > peer review
Sakshi Dhall; Ashutosh Dhar Dwivedi; Saibal K. Pal; Gautam Srivastava / Blockchain-based Framework for Reducing Fake or Vicious News Spread on Social Media/Messaging Platforms
In: ACM Transactions on Asian and Low-Resource Language Information Processing, Vol. 21, No. 1, 1.2022
Journal article > peer review
Deepraj Chowdhury; Ajoy Dey; Ritam Garai; Subhrangshu Adhikary; Ashutosh Dhar Dwivedi; Uttam Ghosh; Waleed S. Alnumay / DeCrypt : A 3DES Inspired Optimised Cryptographic Algorithm.
In: Journal of Ambient Intelligence and Humanized Computing, 23.9.2022
Journal article > peer review
Deepraj Chowdhury; Soham Banerjee; Madhushree Sannigrahi; Arka Chakraborty; Anik Das; Ajoy Dey; Ashutosh Dhar Dwivedi / Federated Learning based Covid-19 Detection
In: Expert Systems, 2.11.2022
Journal article > peer review
Keshav Kaushik; Akashdeep Bhardwaj; Ashutosh Dhar Dwivedi; Rajani Singh / Machine Learning-based Regression Framework to Predict Health Insurance Premiums
In: International Journal of Environmental Research and Public Health, Vol. 19, No. 13, 7.2022
Journal article > peer review
Hong-ni Zhang; Ashutosh Dhar Dwivedi / Precise Marketing Data Mining Method of E-Commerce Platform Based on Association Rules
In: Mobile Networks and Applications, 5.2.2022
Journal article > peer review
Ashutosh Dhar Dwivedi; Rajani Singh; Uttam Ghosh; Raghava Rao Mukkamala; Amr Tolba; Omar Said / Privacy Preserving Authentication System based on Non-interactive Zero Knowledge Proof Suitable for Internet of Things
In: Journal of Ambient Intelligence and Humanized Computing, Vol. 13, No. 10, 10.2022, p. 4639-4649
Journal article > peer review
Rajani Singh; Ashutosh Dhar Dwivedi; Raghava Rao Mukkamala; Waleed S. Alnumay / Privacy-preserving Ledger for Blockchain and Internet of Things-enabled Cyber-physical Systems
In: Computers and Electrical Engineering, Vol. 103, 10.2022
Journal article > peer review
Manik Gupta; Bhisham Sharma; Akarsh Tripathi; Shashank Singh; Abhishek Bhola; Rajani Singh; Ashutosh Dhar Dwivedi / n-Player Stochastic Duel Game Model with Applied Deep Learning and Its Modern Implications
In: Sensors, Vol. 22, No. 6, 3.2022
Journal article > peer review
More results... (total 34 results)
Outside activities


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