DR. DEBOJIT BORO

      

Contact Details

Associate Professor
Dept. of Computer Science and Engineering,
Tezpur University,
Sonitpur,
Assam, India
Pin- 784028
(L) +913712275118
(M/WA) +91XXXXXXXXXXX
Email: deb0001@tezu.ernet.in

  Curriculum Vitae  

Qualification

  • Ph.D - Tezpur University
  • M. Tech - Tezpur University
  • B.E. - Jorhat Engg. College, Jorhat

Areas of Specialization

  • Network Security

Areas of Interest

  • Network Security
  • Blockchain
  • Machine Learning
  • Internet of Things (IoT)
  • Edge Computing

Teaching (Current)

  • CO519 - Internet of Things (IoT)
  • CO423/CS625 - Web Technology
  • CS502 - System Software

Previously Taught

  • CO221 - Data Structure and Object Oriented Programming
  • CO423/CS625 - Web Technology
  • CO434 - Principles of Programming Languages
  • CS407 - Information and Communication Technology

Date of Joining

  • 3-11-2009 : Assistant Professor
  • 18-11-2019 : Associate Professor

Research Publications

  • D. Boro, M. Haloi and D K Bhattacharyya, A fast self-similarity matrix-based method for shrew DDoS attack detection, Information Security Journal: A Global Perspective, Taylor and Francis, Feb 2020, Vol. 29, No. 2, pp. 73-90
  • D. Boro, H. Basumatary, T. Goswami, B. Baruah and D K Bhattacharyya, An empirical performance evaluation of f-divergence measures for detection of popular HRDDoS attacks, International Journal of Computer Networks and Wireless Communications, IRACST, 2018, Vol. 8, No. 4, pp. 62-71
  • D. Boro and D K Bhattacharyya, DyProSD: a dynamic protocol specific defense for high-rate DDoS flooding attacks, MicroSystem Technologies, Springer, 2017, Vol. 23, No. 3, pp. 593 -611 Impact factor 1.737 DOI: 10.1007/s00542-016-2978-0
  • D Boro and D K Bhattacharyya, Particle Swarm Optimization based KNN for improving KNN and ensemble classification performance, International Journal of Innovative Computing and Applications, Inderscience, 2015, Vol.6, No.3/4, pp.145 - 162 DOI: http://dx.doi.org/10.1504/IJICA.2015.073004

Papers in Conference Proceedings

  • K.P. Kalita and D. Boro, An Efficient Consensus Algorithm for Blockchain-Based Federated Learning, Accepted for publication in International conference on Intelligent systems, Advanced Computing and Communication, 2023
  • D. Das and D. Boro, Electromagnetic Signal Analysis: A vulnerability to edge computing driven IoT devices, Accepted for publication in 4th IEEE International Conference on Computing and Communication Systems (I3CS), 2023 16-18 March 2023, NEHU, Shillong, India.
  • S. K. Singh, U. Anand, A. Patel, and D. Boro, Driving Behavior Analysis Using Deep Learning on GPS Data, 2nd International Conference on Emerging Global Trends in Engineering and Technology (EGTET 2022), School of Technology, Assam Don Bosco University, Guwahati, India, 21-23 April 2022.
  • K. P. Kalita, D. Boro, and D. K. Bhattacharyya, An Enhanced Blockchain Consensus Mechanism Using Proof-of-Work and Proof-of-Stake, 2nd International Conference on Emerging Global Trends in Engineering and Technology (EGTET 2022), School of Technology, Assam Don Bosco University, Guwahati, India, 21-23 April 2022.
  • K.P.Kalita, D. Boro, and D. K. Bhattacharyya, Blockchain with Adjustable Proof-of-Work Consensus Mechanism for Mobile Devices, 2nd International Conference on Emerging Global Trends in Engineering and Technology (EGTET 2022), School of Technology, Assam Don Bosco University, Guwahati, India, 21-23 April 2022.
  • K. P. Kalita, D. Boro and D. K. Bhattacharyya, "Implementation of Minimally Shared Blockchains using Big Data Applications," 2020 Third ISEA Conference on Security and Privacy (ISEA-ISAP), Guwahati, India, 2020, pp. 48-54, doi: 10.1109/ISEA-ISAP49340.2020.235000.
  • D Boro, H Basumatary, T Goswami and D K Bhattacharyya, UDP Flooding Attack Detection Using Information Metric Measure, in the Proceedings of ICT4SD - 2015, Vol. 408, pp. 143-153, Springer-Verlag Singapur, Ahmedabad, Gujarat, India, July 3rd-4th, 2015, DOI: https://doi.org/10.1007/978-981-10-0129-1_16
  • D. Boro and D. K. Bhattacharyya, Improving KNN performance for ensemble classification using Particle Swarm Optimization, in the Proceedings of CCSN'14, Vol. 5, Issue 1, pp. 77--82, Puri, Odisha, India, December 12-14th, 2014.
  • B Chutia, D Boro and D K Bhattacharyya, Optimal feature subset selection using multilevel hybrid Model, in the Proceedings of CNC'14, pp. 31-37, Elsevier, Chennai, India, Feb 22-23, 2014
  • D. Boro, B Nongpoh and D K Bhattacharyya, Anomaly based intrusion detection using meta ensemble classifier, in the ACM Proceedings of SIN'12, pp. 143-147, Jaipur, India, October 25-27, 2012, doi>10.1145/2388576.2388596. Citations: 02

Other Publications (Book Chapters)

  • Deka, R.K., Kalita, K.P., Bhattacharyya, D.K., Boro, D. (2021). A Smart Feature Reduction Approach to Detect Botnet Attack in IoT. In: Bora, P.K., Nandi, S., Laskar, S. (eds) Emerging Technologies for Smart Cities. Lecture Notes in Electrical Engineering, vol 765. Springer, Singapore. DOI: https://doi.org/10.1007/978-981-16-1550-4_3
  • D. Boro and D. K. Bhattacharyya, Meta Ensemble Classifier based Stacked Generalization for Anomaly based Intrusion Detection in the Network and Information Security, ISBN 978-81-8487-314-6, pp 25-35, March 15-16, 2013, India

Research Grant

  1. Malware and malware-based attack detection using machine learning approach.
          Funding Agency: Meity
          PI: Prof. Dhruba Kr. Bhattacharyya
          Co. Investigator: Prof Bhogeswar Borah, Dr. Debojit Boro, Dr. Shobhanjana Kalita
          Budget: 64.26 Lakhs
          Duration: 3 Years
          Current Status: Ongoing

  2. Bioinformatics and Computational Biology Centre for Microbial Biodiversity in Assam and Arunachal Pradesh.
          Funding Agency: Ministry of Science and Technology, Department of Biotechnology
          PI: Prof. Suvendra Kr. Ray, Prof. Dhruba Kr. Bhattacharyya, Prof. Ramesh Chandra Deka
          Co. Investigator: Dr. Debojit Boro and Others
          Budget: 67.16 Lakhs
          Duration: 5 Years
          Current Status: Ongoing

  3. Radiomics with machine Learning Methods towards Prediction of Gallbladder Cancer.
          Funding Agency: ICMR
          PI: Dr. Rosy Sarmah
          Co. Investigator: Prof. Dhruba Kr. Bhattacharyya, Dr. Debojit Boro
          Budget: 16.63 Lakhs
          Duration: 2 Years
          Current Status: Completed

Invited Talks / Resource Person

  1. Panellist of the panel discussion on Machine Learning for Disease Diagnosis in the Indian Council of Medical Research (ICMR) sponsored One day seminar on "Machine Learning for Medical Image Analysis" held on 31st May 2022, Department of Computer Science and Engineering, TU, Assam
  2. Delivered a talk in AICTE Sponsored Short Term Training (STTP) in Emerging Information and Cyber Security Trends held during 21 - 25 March 2022, Department of Computer Science and Engineering, NIT Jote, Arunachal Pradesh
  3. Delivered a talk in the national webinar on "Cyber Crime, Security and Awareness" held during 8 - 9 March 2022 organized by the Department of Computer Application, North-Eatstern Hill University, Tura Campus, India
  4. Delivered a talk on "Cyber Threats and Security" in Information Awareness Programme held on 25 February 2022, Air Force Station Salonibari Tezpur
  5. Delivered a talk on "Cyber Security" under ATAL programme of AICTE held during 3 - 7 February 2020, Department of Computer Science and Engineering, NIT, Arunachal Pradesh

Reviewer

  1. Peer reviewer in the International Conference on Intelligent Systems, Advanced Computing and Communication - 2023 held at Assam University, Silchar, India, during 3 - 4 February 2023 technically co-sponsored by IEEE Kolkata Section.

FDP/STTP/Symposium/Workshops Participated

  1. Two day workshop on "Recent Trends in Information Technology, Networking, Communication, and Healthcare" held during 11 - 12 March 2023, Department of Computer Science and Engineering, TU, Assam
  2. Five day national workshop on "Machine Learning in R & Python" held during 28 Jan - 1 Feb 2019, Department of Computer Science and Engineering, TU, Assam
  3. AICTE sponsored Faculty Development Programme on "Machine Intelligence and Internet of Things (IoT)" held during 19 - 23 February 2018, Department of Computer Science and Engineering, TU, Assam
  4. AICTE-NEQIP sponsored Faculty Development Programme on "Sensor and Image Processing" under AICTE-NEQIP scheme held during 12 - 16 February 2018, Department of Electronics and Communication Engineering, TU, Assam
  5. Five day GIAN course on "When Good Algorithms Yeild Bad Software" held during 20 - 24 November 2019, Tezpur University, Assam
  6. Five Days Advanced Training Program on "Internet of Things" held in June 2017 under CDAC, Pune and Department of Computer Science and Engineering, TU, Assam
  7. PhD Symposium in the Conference on Information and Communication Technology (CICT-2017) held during 3 - 5 November 2017, ABV-Indian Institute of Information Technology and Management (IIITM), Gwalior, India

FDP/STTP/Workshops Organized

  1. Indian Council of Medical Research (ICMR) sponsored One day seminar on "Machine Learning for Medical Image Analysis" held on 31st May 2022, Department of Computer Science and Engineering, TU, Assam
  2. One week workshop on "Recent Trends in Computer Applications in Academia and Industry" held during 21 - 25 February 2022, Department of Computer Science and Engineering, TU, Assam
  3. CDAC sponsored Workshop on "Knwing Cyber Attack-Adopting Honeynet" held during 6 - 7 March 2018, Department of Computer Science and Engineering, TU, Assam
  4. AICTE sponsored Faculty Development Programme on "Algorithms in Applications" held during 26 - 30 December 2017, Department of Computer Science and Engineering, TU, Assam