T1] S Reddi, P Muralidhara Rao, S Pedada, S Jangirala, AK Das, Y Park, (2024). Privacy-Preserving EMR Sharing for IoT-Enabled Healthcare System Using Fully Homomorphic Encryption, IOTA and MAM, IEEE Transactions on Industrial Informatics, IEEE. (SCIE Q1- 11.7 IF).
M3] S Reddi, P Muralidhara Rao, S Pedada, Basudeb Bera, Ashok Kumar Das, Biplab Sikdar, (2025). Homomorphic Encryption for Privacy-Preserving Data Sharing with IOTA and IPFS in IoT-based Medical Cyber-Physical Systems, IEEE Communications Magazine, IEEE. (SCIE Q1- 8.3 IF).
M2] P Muralidhara Rao, Vangala, A., Pedada, S., Das, A. K., Vasilakos, A. V. (2024). Privacy-Preserving Lightweight Authentication for Location-Aware Edge-Enabled eHealth Systems. IEEE Internet of Things Magazine, 7(3), 76-82. IEEE (Scopus Q1)
M1] P.Muralidhara Rao, Saraswathi Pedada, Srinivas Jangirala, Ashok Kumar Das, Joel J. P. C. Rodrigues, (2024). Role of IoT in the Ages of Digital to Smart Cities: Security Challenges and Countermeasures, IEEE Internet of Things Magazine, IEEE. (Scopus Q1)
J1] P. Muralidhara Rao., Deebak, B. D. (2022). Security and privacy issues in smart cities/industries: Technologies, applications, and challenges. Journal of Ambient Intelligence and Humanized Computing, 1-37. (SCIE Q1- 7.09 IF)
J2] P. Muralidhara Rao, Saraswathi, P. (2022). Securing Internet of Things devices by enabling Ethereum blockchain using smart contracts, Building Services Engineering Research and Technology, 43(4), 473-484. (SCIE Q2- 2.3 IF)
J3] P. Muralidhara Rao, BD Deebak (2023), Lightweight Two-Factor Authentication Framework with Privacy Preserving for smart eHealth, Peer to Peer Networking and Application Journal, Springer, November 2023. (SCIE Q2-3.4 IF )
J4] P. Muralidhara Rao, Abdul Gaffar H. (2023). PPAM-mIoMT: A Privacy-Preserving Authentication with Device Verification for Securing Healthcare Systems in 5G Networks, International Journal of Information Security, Springer. (SCIE Q2- 3.2 IF)
J5] P. Muralidhara Rao, Deebak, B. D. (2023), A Comprehensive Survey on Secure Authentication Schemes for Internet of Things: Challenges and Opportunities, Ad-hoc Networks, Elsevier. (SCIE Q1- 4.9 IF)
J6] P.Muralidhara Rao, Srinivas Jangirala, Saraswathi Pedada, Ashok Kumar Das, Youngho Park, (2023) Blockchain Integration for IoT-enabled V2X Communications: A Comprehensive Survey, Security Issues and Challenges, IEEE Access, IEEE (SCIE Q1- 3.9 IF)
J7] P. Muralidhara Rao, Abdul Gaffar H (2024), BeLAS: Blockchain-envisioned Lightweight Authentication Scheme for Securing eHealth Records, Peer to Peer Networking and Application Journal, Springer. (SCIE Q2- 3.4 IF)
J8] Bhasker Bapuram, Patruni Muralidhara Rao, Saraswathi Pedada, S Gopala Krishna Patro, Addisu Frinjo Emma, (2025). “Blockchain framework for IoT device security in Sustainable Healthcare Systems”, Scientific Reports, Nature (SCIE Q1- 3.9 IF)
J9] Patruni Muralidhara Rao, Bhasker Bapuram, Saraswathi Pedada, (2025). “Intelligent IoT-Blockchain Ecosystem: A Security Perspectives, Applications, and Challenges”, Computer Science Reviews, Elsevier (SCIE Q1- 12.7 IF)
C2] Anupama, A., Saraswathi, P., Muralidhara Rao, P., Satya Keerthi, G. (2022). An Improved Locality-Sensitive Hashing-Based Recommender Approach in a Distributed Environment. In Recent Trends in Communication and Intelligent Systems: Proceedings of ICRTCIS 2021 (pp. 249-257). Singapore: Springer Nature Singapore
C1] Saraswathi, P., Muralidhara Rao, P., Rajkumar, G. V. S. (2022). Intelligent Stock Trading using LSTM Approach. In 2022 IEEE India Council International Subsections Conference (INDISCON) (pp. 1-5). IEEE.
B1] Sivaranjani, R., Rao, P. M., Saraswathi, P. (2021). ECC-based privacy-preserving mechanisms using deep learning for industrial IoT: a State-of-the-Art approaches. In Deep Learning for Internet of Things Infrastructure (pp. 25-59). CRC Press.
B2] Rao, P. M., Saraswathi, P. (2021). Evolving cloud security technologies for social networks. In Security in IoT Social Networks (pp. 179-203). Academic Press.
B3] Deebak, B. D., Al-Turjman, F. D., Rao, P. M. Medical sensor capabilities in smart cloud networks: state-of-the-art approaches. Wireless Medical Sensor Networks for IoT-based eHealth, 334, IET
B4] Rao, P. M., Al-Turjman, F., Deebak, B. D. (2022). Smart grid metering: security, privacy, and open challenges. In Sustainable Networks in Smart Grid (pp. 255-272). Academic Press.
B5] Rao, P. M., Deebak, B. D. (2022). Role of power line communications in the Smart Grid: Applications, challenges, and research initiatives. In Sustainable Networks in Smart Grid (pp. 73-98). Academic Press.
B6] Rao, P. M., Sivaranjani, R., Saraswathi, P. (2022). Smart home energy management system: concept, architecture, infrastructure, challenges, and energy management. Sustainable Networks in Smart Grid, 49-71.
B7] Sivaranjani, R., Rao, P. M. (2022). Smart energy optimization using new genetic algorithms in Smart Grids with the integration of renewable energy sources. In Sustainable Networks in Smart Grid (pp. 121-147). Academic Press.
B8] Krishna, D. S., Koti, B. R., Rao, P. M. (2022). Distributed semantic architecture for smart grids: an industrial approach. In Sustainable Networks in Smart Grid (pp. 149-177). Academic Press.
B9] Rao, P. M., Saraswathi, P., Murthy, Y. V. S. (2022). Key performance indicator-based energy management strategies for microgrid operation. In Sustainable Networks in Smart Grid (pp. 99-120). Academic Press.
B10] Patruni, M. R., Angadi, A., Gorripati, S. K., Saraswathi, P. (2023). Artificial Intelligence Techniques in Text and Sentiment Analysis. In Handbook of Research on Artificial Intelligence Applications in Literary Works and Social Media (pp. 171-191). IGI Global.