Dr. Bhanu Chander

Assistant Professor
Indian Institute of Information Technology Kottayam
Valavoor P.O, Pala
Kottayam - 686635, Kerala, India.
Email: bhanu at iiitkottayam dot ac.in
Hello at: 00 91 04822202187
Honours and Achievements :
  • Qualified National Eligibility Test (UGC – NET) - 2017
  • Qualified State Eligibility Test (TS-SET) – 2017 and 2019
Education :
  • Ph.D, Department of Computer Science and Engineering, Thesis titled: “Cluster-based Machine Learning Techniques for Outlier Detection in Wireless Sensor Networks”, Pondicherry University, 2022.
  • M. Tech., CSE – Information Security, Central University of Rajasthan, 2016
  • B. Tech., Computer Science and Engineering, Acharya Nagarjuna University, 2013
Publications
International Journals:
  1. Bhanu chander and G. Kumaravelan. (2022). Outlier detection strategies for WSNs: A survey, Journal of King Saud University-Computer and Information Sciences, Volume 34, Issue 8, Part B, September 2022, Pages 5684-5707. SCI.
  2. Bhanu chander and Kumaravelan. (2022). A secured and lightweight RFID-tag based authentication protocol with privacy-preserving in Telecare medicine information system. Computer Communications. Volume 191, pp: 425-437. SCI
  3. Chander, B., & Kumaravelan, G. (2022). An Improved 2-Factor Authentication Scheme for WSN Based on ECC. IETE Technical Review, 1-12. SCI
  4. Bhanu chander and Kumaravelan. (2022). An ECC-based enhanced and secured authentication protocol for IoT and cloud server. Int. J. of Communication Networks and Distributed Systems. (Scoups, ESCI), Article in press.
  5. Chander, G. B., & Kumaravelan, G. (2022). SVDD based outlier detection in WSN via Multi-interpolation Autoencoder. Int. J. Information and Computer Security. (Scopus, Elsevier– Article in Press).
  6. Chander, G. B., & Kumaravelan, G. (2021). RFID tag-based mutual authentication protocol with improved security for TMIS. Int. J. Information and Computer Security. pp 383-405https://doi.org/10.1504/IJICS.2022.125268 (Scopus, Elsevier).
  7. Chander, B., & Kumaravelan. (2021). Secure authentication in IoT and cloud server: An ECC based practice. Journal of Discrete Mathematical Sciences and Cryptography, 24(5), 1229-1240. (Scopus, WoS).
  8. Bhanu chander and Kumaravelan. (2018). One class SVMs outlier detection for wireless sensor networks in harsh environments: Analysis. International Journal of Recent Technology and Engineering (IJRTE), volume-7, issue-4, pp. 294-301, (Scopus).
  9. Bhanu chander, Prem Kumar, Kumaravelan. (2018). A analysis of machine learning in wireless sensor network, International Journal of Engineering & Technology, volume 7, issue 4.6, pp.185-192, (Scopus).
  10. Chander, G. B., & Kumaravelan, G. (2018). Simple and Secure authentication in wireless sensor network using digital certification. International Journal of Pure and Applied Mathematics, 119(16), 137-143. (Scopus).
Book Chapters (All are Scopus Indexed):
  1. Chander, B., Pal, S., De, D., Buyya, R. (2022). Artificial Intelligence-based Internet of Things for Industry 5.0. In: Pal, S., De, D., Buyya, R. (eds) Artificial Intelligence-based Internet of Things Systems. Internet of Things. Springer, Cham. https://doi.org/10.1007/978-3-030-87059-1_1
  2. Chander, B. (2022). Artificial Neural Networks and Support Vector Machine for IoT. In: Pal, S., De, D., Buyya, R. (eds) Artificial Intelligence-based Internet of Things Systems. Internet of Things. Springer, Cham. https://doi.org/10.1007/978-3-030-87059-1_3.
  3. Chander, B. (2022). Deep Dive into Blockchain Technology: Characteristics, Security and Privacy Issues, Challenges, and Future Research Directions. Smart City Infrastructure: The Blockchain Perspective, 1-32.
  4. G. Bhanu chander and G. Kumaravelan. (2018). Introduction to Wireless Sensor Networks, Soft Computing in Wireless Sensor Networks, pp. 1-28, Taylor and Francis, CRC press, ISBN: 9780429438639.
  5. Bhanu chander and Kumaravelan Gopalakrishnan. (2020). Internet of Things: Foundation. In: Peng SL., Pal S., Huang L. (eds), Principles of Internet of Things (IoT) Ecosystem: Insight Paradigm. Intelligent Systems Reference Library, pp. 3-33, volume 174. Springer, Cham, https://doi.org/10.1007/978-3-030-33596-0_1, ISBN: 978-3-030-33596-0.
  6. Bhanu chander and Kumaravelan. (2020). Wearable sensor networks for patient health monitoring: challenges, applications, future directions, and acoustic sensor challenges. In Healthcare Paradigms in the Internet of Things Ecosystem, pp. 189-221, Elsevier, Academic Press, https://doi.org/10.1016/B978-0-12-819664-9.00009-0, ISBN: 978-0-12-819664-9.
  7. Chander B., Kumaravelan G. (2021) Cyber Security with AI—Part I. In: Chakraborty M., Singh M., Balas V.E., Mukhopadhyay I. (eds) The Essence" of Network Security: An End-to-End Panorama. Lecture Notes in Networks and Systems, vol 163. Springer, Singapore. https://doi.org/10.1007/978-981-15-9317-8_6.
  8. Bhanu chander, Kumaravelan Gopalakrishnan (2020) Security Vulnerabilities and Issues of Traditional Wireless Sensors Networks in IoT. In: Peng SL., Pal S., Huang L. (eds) Principles of Internet of Things (IoT) Ecosystem: Insight Paradigm. Intelligent Systems Reference Library, vol 174. Springer, Cham. https://doi.org/10.1007/978-3-030-33596-0_21.
  9. Bhanu, C. (2021). Challenges, Benefits and Issues: Future Emerging VANETs and Cloud Approaches. Cloud and IoT‐Based Vehicular Ad Hoc Networks, 233-267.
  10. Chander, B. (2020). Blockchain Technology Integration in IoT and Applications. In Security and Privacy Issues in Sensor Networks and IoT (pp. 231-263). IGI Global.
  11. Chander, B. (2020). The State-of-the-Art Cryptography Techniques for Secure Data Transmission. In Handbook of Research on Intrusion Detection Systems (pp. 284-305). IGI Global.
  12. Chander, B. (2021). Advances of Quantum Machine Learning. In Limitations and Future Applications of Quantum Cryptography (pp. 257-275). IGI Global.
  13. Chander, B. (2022) Advanced deep learning techniques and applications in healthcare services. Deep Learning for Personalized Healthcare Services, 37.
  14. Chander, B. (2020). Deep learning network: deep neural networks. In Neural Networks for Natural Language Processing (pp. 1-30). IGI Global.
  15. Bhanuchander and Kumaravelan. (2022). Unsupervised clustering techniques. Statistical Modelling in Machine Learning: Concepts and Applications, Elsevier. (Accepted).
International/National Conferences: (All are Scopus Indexed)
  1. Chander, B., Kumaravelan (2022). ECC-Based Secure and Efficient Authentication for Edge Devices and Cloud Server with Session Key Establishment. In: Ullah, A., Anwar, S., Rocha, Á., Gill, S. (eds) Proceedings of International Conference on Information Technology and Applications. Lecture Notes in Networks and Systems, vol 350. Springer, Singapore. https://doi.org/10.1007/978-981-16-7618-5_12
  2. Chander, B., Kumaravelan (2022). Cluster-Based Probabilistic Neural Networks for Outlier Detection Via Autoencoder Variants. In: Gupta, D., Sambyo, K., Prasad, M., Agarwal, S. (eds) Advanced Machine Intelligence and Signal Processing. Lecture Notes in Electrical Engineering, vol 858. Springer, Singapore. https://doi.org/10.1007/978-981-19-0840-8_45.
  3. Chander B., Gopalakrishnan K. (2021) Secure, Efficient, Lightweight Authentication in Wireless Sensor Networks. In Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication. Lecture Notes in Electrical Engineering, vol 749. Springer, Singapore. https://doi.org/10.1007/978-981-16-0289-4_22
  4. Bhanu chander and Kumaravelan Gopalakrishnan. (2021). Auto-encoder—LSTM-Based Outlier Detection Method for WSNs, In international conference on Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication, Lecture Notes in Electrical Engineering, vol 749. Springer, Singapore, https://doi.org/10.1007/978-981-16-0289-4_8.
  5. Bhanu chander and Kumaravelan. (2021). Outlier Detection in Wireless Sensor Networks with Denoising Auto-Encoder, In 5thinternational conference on Internet of Things and Connected Technologies, ICIoTCT 2020, Advances in Intelligent Systems and Computing, vol 1382, Springer, Cham. https://doi.org/10.1007/978-3-030-76736-5_35.
Books Edited:
  1. Bhanu chander, Guravaiah, kumnarvelan, Anoop B N. “Handbook of AI-based Models in Healthcare and Medicine: Approaches, Theories, and Applications.” Part of Book series: Artificial Intelligence in Smart Healthcare Systems. Taylor and Francis, CRC press. 2023
  2. Bhanu chander, Guravaiah, kumnarvelan, Anoop B. N. “Intelligent Wireless Sensor Networks and the Internet of Things: Algorithms, Methodologies, and Applications”. Part of Book series: Wireless Communications and Advancements. Taylor and Francis, CRC press. 2023
Papers Presented:
  1. G. Bhanu chander and G. Kumaravelan. (2019). Research Issues in Outlier detection in WSNs, National conference on Communication Systems, NCOS-2019, National Institute of Technology, Pondicherry.
  2. G. Bhanu chander and G. Kumaravelan. (2019). Rehabilitation of industrial, Business communications in Next Competitive Digital Era with DARQ Technology, 13th Annual ISDSI Conference, Indian Institute of Management, Sambalpur.
  3. G. Bhanu chander and G. Kumaravelan. (2019). Industry 4.0: A Glance, International Conference on Digital Economy, ICDE-2019, Indian Institute of Management, Raipur.
Professional Activities
Reviewer:
  • Journal of King Saud University Computer and Information Sciences
  • ACM Computing Surveys
  • ETRI Journal of Emerging Telecommunications Technologies
  • Alexandria Engineering Journal
  • Journal of Soft Computing
  • Journal of Network and Systems Management
  • Indonesian Journal of Electrical Engineering and Computer Science
  • Journal of Supercomputing
  • 5th IEEE International Conference on Computing, Communication and Security (ICCCS-2020), IIT Patna
Research Interests :
  • Wireless Sensor Networks, IoT
  • Machine Learning in Cyber Security
  • Outlier and Classification approaches
  • Cryptography and Network Security
  • Cyber Security and Authentication Protocols
  • IoT and Cloud Security