Dr. Raveendranadh Bokka
Designation Assistant Professor
Years of Experience 14
Department CSE
Email Id raveendranadh.b@mlrit.ac.in
JNTUH Unique Id 9934-151228-140428
Areas of Specialization • Internet of Things • Wireless Sensor Networks • Machine Learning • Deep Learning • Embedded Systems
UG Degree B.Tech - ECE
PG Degree M.Tech - ECE
Ph.D Ph.D - IoT security using Deep Learning Methods
Joining Date 05-06-2024
Nature of Association Regular

Dr. Raveendranadh Bokka

Papers Published

Research Articles

  1. Simulation-Based Analysis of RPL Routing Attacks and Their Impact on IoT Network Performance, Journal of Electronic Testing, 02 March 2024, https://doi.org/10.1007/s10836-024-06106-w, (SCIE-Springer)
  2. IoT-based data quality and data preprocessing of multinational corporations, The Journal of High Technology Management Research, 34, 2, November 2023, https://doi.org/10.1016/j.hitech.2023.100477, (Scopus – Elsevier)
  3. An Accurate Attack Detection Framework Based on EPK-DNN in The WSN Network, Transactions on Emerging Telecommunication Technologies, 34, 3, March 2023, https://doi.org/10.1002/ett.4726, (SCIE)
  4. Machine Learning Techniques to Detect Routing Attacks in RPL Based Internet of Things Networks, International Journal of Electrical Engineering and Technology (IJEET), 12, 6, 0976-6553, 2021, https://iaeme.com/Home/issue/IJEET?Volume=12&Issue=6, (Scopus)
  5. Securing IoT Networks: RPL Attack Detection with Deep Learning GRU Networks, International Journal of Recent Engineering Science, 10, 2, ISSN Number, 2023, https://doi.org/10.14445/23497157/IJRES-V10I2P103, (Google Scholar)
  6. IoT Based Smart Home System Technologies, International Journal of Engineering Research and Development (IJERD), 13, 2, 2278-800X, February 2017, (Google Scholar)
  7. Efficient Majority Logic Fault Detection in Memory Applications with Difference Set Codes, International Journal of Scientific Engineering and Technology Research (IJSETR), 5, 15, June 2016, Web Link, (Google Scholar)


  1. Recent Trends in Machine Learning, IoT, Smart Cities and Applications as chapter in Advances in Intelligent Systems and Computing, Deep Learning Model for Detection of Attacks in the Internet of Things Based Smart Home Environment, Springer, 2021, https://doi.org/10.1007/978-981-15-7234-0_69, Scopus
  2. 2021 Second International Conference on Electronics and Sustainable Communication Systems (ICESC), DIS flooding attack Impact on the Performance of RPL Based Internet of Things Networks: Analysis, IEEE, 2021, doi:10.1109/ICESC51422.2021.9532901, IEEE, Scopus



S. No Title of The Patent File Number year


A System for Cloud Monitoring and Repair Method in an IoT Network






Subjects Taught

  • Digital Electronics
  • Computer Organization
  • Internet of Things
  • Computer Networks
  • Python Programming

Books Published

Book Chapters

  1. Deep Learning Model for Detection of Attacks in the Internet of Things Based Smart Home Environment, Advances in Intelligent Systems and Computing (Springer), ISBN Number, 2021, doi: 10.1007/978-981-15-7234-0_69, Scopus
  2. IoT-Based Green Environment for Smart Cities, Microelectronics, Electromagnetics and Telecommunications. Lecture Notes in Electrical Engineering (Springer), 2018, https://doi.org/10.1007/978-981-10-7329-8_27, Google Scholar