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Ms. Chethana Liyanapathirana

Lecturer

CAREER SUMMARY

    Academic by profession, having more than 2 years of experience in lecturing/training in universities and Corporate training. She had already trained more than 1000 professionals in Information Security and IT management. Researcher in the Area of Information Security and Presented and published numerous research papers at national and international level.

    Further Chethana is involved in teaching corporate training in the area of information security, digital forensics and information management.

ACADEMIC QUALIFICATIONS

    SLIIT Bsc. Special Honours degree Information Technology Second Class 2012 -2016

    Charles Sturt University Short Masters Course Information Security

    Post Graduate Diploma in Cyber Security - SLIIT - 2018

RESEARCH INTERESTS AND MEMBERSHIP

Research Interests

    Machine Learning

    Deep Learning

    Android Malware

    Information Security 

Memberships

    Internet Society

    2018 – Present  - Member

     

    Cloud Security Alliance

    May 2018 – Present  - Working Group Member

MY PUBLICATIONS

Journal Publications

  • Hansi Mayadunna, Shanen Leen De Silva, Lakmal Rupasinghe, Chethena Liyanapathirana, Kalpa Kalhara Sampath, Chamira Nawarathna "Improving Trusted Routing by Identifying Malicious Nodes in a MANET Using Reinforcement Learning "
  • Kalpa Kalhara Sampath, Cethana Liyanapathirana Krishnadeva Kesavan, Chamira Nawarathna, Lakmak Rupasinghe "Enhancing the security of OLSR protocol using reinforcement learning"
  • Ashan Chulanga Perera, Chethana Liyanapathirana, Lakmal Rupasinghe "E-commerce (WEB) Application Security: Defense against Reconnaissance"
  • Sripa Vimuthi Rupasinghe P.L, Heshani Herath, Ishani Pathinayake, Ashani Diaz, Indujayani Karthigesu, Krishnadeva Kesavan , Chethana Liyanapathirana "Predictive Analytics with online data for WSO2 Machine Learner with the support of Ensemble method"
  • Krishnadeva Kesavan, Chethana Liyanapathirana, SAWS Sampath, Lakmal Rupasinghe "Androsafe: Online malware analysis with static and dynamic methods"
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