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Articles by Vinay Rishiwal
Blockchain-Enabled Cross-Device Authentication and Efficient Task Allocation Using Fuzzy Grey Wolf Optimization for IoT Networks
References 1 Telenor IoT, “ What Are IoT Connections?,” 2024. 2 IoT Analytics, “ State of the IoT 2024: Number of Connected IoT Devices Growing 16% to 16.7 Billion Worldwide,” 2024. 3 Konverge Technologies, “ Types of Cyber Security Attacks on IoT,” 2024. 4 and , “Exploring Blockchain-Driven Security in SDN-Based IoT Networks,” Journal of Network and Computer Applications 224 (2024): 103838, https://doi.org/10.1016/j.jnca.2024.103838.
Quantchaindoc: Integrating Blockchain and Quantum Cryptography to Enhance Digital Document Security in Smart Cities
Data Availability Statement The authors have nothing to report. References 1, , , and , “Smart Cities and Sustainable Development Goals (Sdgs): A Systematic Literature Review of Co-Benefits and Trade-Offs,” Cities 146 (2024): 104659. 2, , , , , and , “Quantum-Inspired Blockchain-Based Cybersecurity: Securing Smart Edge Utilities in Iot-Based Smart Cities,” Information Processing & Management 58, no. 4 (2021): 102549.
Quantum ML, Generative AI, and Information Fusion for Cloud Security in IoT-Enabled Sustainable Smart Cities: Innovation, Approaches, and Challenges
S.Pondavakam, S. K.Singh, V.Rishiwal, and J. H.Park, “Quantum ML, Generative AI, and Information Fusion for Cloud Security in IoT-Enabled Sustainable Smart Cities: Innovation, Approaches, and Challenges,” Transactions on Emerging Telecommunications Technologies37, no. 5 (2026): e70439, https://doi.org/10.1002/ett.70439. Conflicts of Interest The authors declare no conflicts of interest.
An Artificial Intelligence Framework for Crowd Surveillance and Risk Mitigation
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Localization in WSN‐Assisted IoT Networks Using Machine Learning Techniques for Smart Agriculture
Conflict of Interest The authors whose names are listed in the manuscript certify that they have no affiliations with or involvement in any organization or entity with any financial interest or nonfinancial interest in the subject matter or materials discussed in this manuscript. This is a survey paper, so there are no codes associated. This paper falls under the Ph.D. research work of the first author under the supervision of the second author.
Blockchain and crypto forensics: Investigating crypto frauds
REFERENCES 1, , , . Cryptocurrencies and fraudulent transactions: risks, practices, and legislation for their prevention in europe and spain. Laws. 2021; 10(3): 57. 2, . Cryptocurrency in the system of money laundering. Baltic J Econ Stud. 2018; 4(5): 75-81. 3. Cryptocurrencies–the future of payment systems or a modern way to fraud. VUZF Rev. 2019; 2: 33. 4. Money laundering through cryptocurrencies-analysis of the phenomenon and appropriate prevention measures. J Money Laund Control. 2022; 25(1): 79-94. 5, , .
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