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Dr. Gunikhan Sonowal

Dr. Gunikhan Sonowal

Assistant Professor

  • Faculty of Computer Technology

About

Name: Specialization:
Dr. Gunikhan Sonowal Information Security

Qualification

Exam University Name Board Year
MCA University of Hyderabad University of Hyderabad 2014
Ph.D. Pondicherry University Pondicherry University 2019

 

Working Experience

University Name Years Position
K L Deemed to be University 2020-2022 Assistant Professor
Sanskrithi School of Engineering 2019-2020 Assistant Professor

 

Research

  1. Book

    1. Gunikhan Sonowal. Phishing and Communication Channels: A Guide to Identifying and Mitigating Phishing Attacks, eBook ISBN: 978-1-4842-7744-7 URL: https://doi.org/10. 1007/978-1-4842-7744-7, Publisher: Apress, Berkeley, CA(Springer), Year: 2022.

    2. Social Engineering Attack: Rethinking Responsibilities and Solutions. eBook ISBN:979-8-88697-739-4. URL: https://doi.org/10.52305/KSOA7898. Publisher:  Nova Science Publishers. Year: 2023

  2. Journals:

    1. Gunikhan Sonowal, K S Kuppusamy. SmiDCA: An Anti-Smishing Model with Machine Learning Approach, The Computer Journal, Volume 61, Issue 8, 1 August 2018, Pages 1143-1157, https://doi.org/10.1093/comjnl/bxy039 , ISSN : 00104620. SCI-E. Oxford University Press.

    2. Gunikhan Sonowal, KS Kuppusamy. MMSPhiD: a phoneme based phishing verification model for persons with visual impairments, Information and Computer Security, Vol. 26 Issue: 5, pp.613-636, https://doi.org/10.1108/ICS-12-2017-0091. ISSN: 20564961. ESCI.Emerald Group Publishing Ltd.

    3. Gunikhan Sonowal, K. S. Kuppusamy. PhiDMA-A phishing detection model with multi-filter approach. Journal of King Saud University - Computer and Information Sciences, Volume 32, Issue 1, January 2020, Pages 99-112. https://doi.org/10.1016/j.jksuci.2017.07.005 . ISSN:13191578. SCI. Elsevier.

      4. Gunikhan Sonowal. Phishing Email Detection Based on Binary Search Feature Selection. SNComputer Science, Volume 1, Issue 4: 191. https://doi.org/10.1007/s42979-020-00194-z .ISSN : 26618907. Springer.

      5. Gunikhan Sonowal. Detecting phishing SMS based on multiple Correlation Algorithms. SN Computer Science.Volume 1, Issue 6: 361. https://doi.org/10.1007/s42979-020-00377-8 . ISSN :26618907. Springer.

      6. Gunikhan Sonowal, Aditi Sharma, Kharb Latika Spear-Phishing Emails Verification Method based on Verifiable Secret Sharing Scheme, Journal of Information Assurance & Security. 2021,  Vol. 16 Issue 3, p117-124, ISSN 1554-1010

  3. International Conference Publications

    1. 2020 Gunikhan Sonowal, A Model for Detecting Sounds-alike Phishing Email Contents for Persons with Visual Impairments, 2020 Sixth International Conference on e-Learning (econf), Sakheer, Bahrain, 2020, pp. 17-21, doi: 10.1109/econf51404.2020.9385451. IEEE.

    2. 2016 Gunikhan Sonowal and K. S. Kuppusamy. MASPHID: A Model to Assist Screen Reader Users for Detecting Phishing Sites Using Aural and Visual Similarity Measures. In Proceedings of the International Conference on Informatics and Analytics (ICIA-16). Pondicherry Engineering College Pondicherry - 605014, INDIA, Article 87 , 6 pages. DOI: https://doi.org/10.1145/2980258.2980443 . ACM.

    3. 2017 Gunikhan Sonowal, K. S. Kuppusamy, and A. Kumar, Usability evaluation of active anti-phishing browser extensions for persons with visual impairments, 2017 4th International Conference on Advanced Computing and Communication Systems (ICACCS), Sri Eshwar College of Engineering, Coimbatore-641202, India, pp. 1-6. DOI: https://doi.org/10.1109/ICACCS.2017.8014654 . IEEE.

 

Awards & Achievements

Best Prize awards in International Conference

UGC NET Qualified

GATE Qualified