(lincynl@rajagiricollege.edu.in)

Dr. Lincy N L, who has eight years of experience in teaching undergraduate and graduate computer science courses, joined the Department of Computer Science, Rajagiri College of Management and Applied Sciences in 2023. She has 2 years of expertise in the software industry also. Her areas of interest include Machine Learning, Deep Learning, Data Analytics, Computer Security and Block-chain Technology. She has published extensively in these areas, contributing valuable insights and innovations. She has numerous publications in reputed journals, focusing on areas such as botnet traffic and multistage network attack detection and mitigation, blockchain technology, and machine learning. She Published two patents and one UK design patent on advanced technologies such as blockchain, artificial intelligence, and deep learning for enhancing IoT systems and network security. Dr. Lincy received Best Women Faculty Award by Novel Research Academy in the year 2021. She also actively engages in professional research and conferences as a means of lifelong learning.

Academic Qualifications

• PhD in Computer Science
• MPhil in Computer Science
• Masters in Computer Application
• Bachelor’s Degree in Physics

List of Publications

• “Botnet Attack Detection Using Machine Learning Algorithm Integrated with Ensemble Algorithm”. Soft Computing for Security Applications. Advances in Intelligent Systems and Computing, vol 1397. Springer, Singapore. https://doi.org/10.1007/978-981-16-5301-8_13 [Springer – Scopus indexed]

• “Cyber security aspects of Blockchain”. International Journal of Creative Research Thoughts (IJCRT), Volume 9, Issue 5 May 2021 | ISSN: 2320-2882 [UGC Approved]

• “A Comparative study of Blockchain technology and its Application in Revolution of Educational Growth”. BioGecko Vol 12 Spl Iss 01 2023 ISSN NO: 2230-5807[Web of science]
• “The Investigation of Network Security, Including Penetrating Threats and Potential Security Measures”. Soft Computing for Security Applications. Advances in Intelligent Systems and Computing, vol 1428. Springer, Singapore. https://doi.org/10.1007/978-981-19-3590-9_9 [Springer – Scopus indexed]
• “The deep learning and machine learning methods for botnet identification in the internet of things”. Gongcheng Kexue Yu Jishu/Advanced Engineering Science. AES-05-03-2024-03 [Scopus]

• “Impacts of a multistage network attacks”. International Journal of Engineering Management Science ISSN: 2799-1865 Vol 4, Issue 1, 2024

• “Enhancing network protection posture against multistage attacks”. International Journal of Engineering Management Science ISSN: 2799-1865 Vol 4, Issue 1, 2024
• “Significance Of Dexterity and Experience In Structured Query Language”. The Seybold Report, 18(06). https://doi.org/10.17605/OSF.IO/Y793H
• “A Simulation Between Nodes in A Social Network”. Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition) ISSN (Online): 1671-5497 Vol: 42 Issue: 04: 2023 DOI: 10.17605/OSF.IO/VFHB7 [Scopus journal]

Patent Details(National)

• Patent Id: 202141038370
  • Title of Invention: “Blockchain enabled intelligent IoT architecture with AI”.
  • Status: Patent Published.
• Patent Id: 202241003757
  • Title of Invention: “Analysis and Monitoring of Network Traffic Using Deep Learning Techniques”.
  •  Status: Patent Published

Patent Details(International)

• Design No: 6365593
  • Title: Apparatus and Devices for Checking Security.
  • Jurisdiction: UK Design Patent.