Assistant Professor
As an Assistant Professor in Computer Science at the Central University of Kerala, I bring extensive expertise in both academia and research. My primary research focus is on Android malware analysis using machine learning techniques, a critical area in today's cybersecurity landscape. With a robust academic background and four years of teaching experience, I excel in creating engaging and effective learning environments that inspire and motivate students.
In my role, I am deeply committed to advancing knowledge and fostering a culture of curiosity and innovation. My research aims to develop sophisticated machine learning models that can detect and mitigate malware threats on Android platforms, thereby contributing to the broader field of cybersecurity. This work not only advances academic understanding but also has practical applications that enhance the security of mobile devices, benefiting society at large.
My passion for teaching and research drives me to continually seek new ways to improve and innovate. I am eager to apply my skills and knowledge to contribute to societal improvement through education, research, and industry collaborations. By integrating my research insights into the classroom, I strive to provide students with cutting-edge knowledge and practical skills that prepare them for future challenges.
Ultimately, my goal is to make a meaningful impact in the field of computer science while continually striving for excellence. I look forward to opportunities where I can further my research, contribute to the academic community, and apply my expertise to real-world problems.
| Sl.No | Qualification Level | University | Area of Specialization | Year of Compeltion | Awards | ||||
|---|---|---|---|---|---|---|---|---|---|
| 1 | Ph.D Thesis Submitted | Central University of Kerala | Cybersecurity, Android Malware Analysis, Machine Learning | 2024 | |||||
| 2 | MCA | NIELIT Calicut, University of Calicut | Master of Computer Applications | 2014 | |||||
| 3 | B.Sc | University of Calicut | B.Sc in Computer Science | 2011 | |||||
As assistant professor at various well known institutes main responsibilities were following:
· Subject handled were Design and analysis of Algorithms, Theory of Computation, Software analysis and Project Management, DBMS, Data Structures, Computer Networking Systems and Security, etc.
· Delivering lectures for students of both Under graduate and Post graduate courses using advance teaching aids.
· Preparing students for future-centric education.
· NET coaching classes for Post graduate Students.
· Conducting seminars and workshops for setting up for exams and analyzing students learning ability.
1. COLLEGE OF AGRICULTURE PADANNAKKAAD, KASARAGOD, KERALA
01.06.2019 - 31.10.2019
2. THE COLLEGE OF APPLIED SCIENCE, CALICUT, KERALA
12.07.2018 - 31.03.2019
3. UNIVERSITY OF CALICUT
20.09.2017 - 31.03.2018
4. MHES COLLEGE OF SCIENCE AND TECHNOLOGY, CHERANDATHUR, VADAKARA, KERALA
22.06.2015 - 20.09.2017
Android Malware Analysis using Machine Learning Techniques
1. ‘DeepMetaDroid: Real-Time Android Malware Detection Using Deep Learning and Metadata Features’, in Cloud Computing and Data Science on 20.05.2024, Volume 5, Issue 2, DOI: https://doi.org/10.37256/ccds.5220244503
2. 'Detection Approaches for Android Malware: Taxonomy and Review Analysis’, in Expert Systems With Applications’ on 01.11.2023, DOI: https://doi.org/10.1016/j.eswa.2023.122255
3. ‘Android Ransomware Detection using a Novel Hamming Distance based Feature Selection’, in Journal of Computer Virology and Hacking Techniques’ on 23.06.2023, DOI: https://doi.org/10.1007/s11416-023-00495-w
4. ‘Android Malware Category Detection using a Novel Feature Vector-Based Machine Learning Model’ in an ESCI journal named Cybersecurity on 09.03.2023, DOI: 10.1186/s42400-023-00139-y
1. 'DynaMalDroid: Dynamic Analysis-Based Detection Framework for Android Malware Using Machine Learning Techniques in IEEE Digital explorer on 17.03.2023, DOI:10.1109/ICKECS56523.2022.10060106.
2. ‘COVID-Themed Android Malware Analysis and Detection Framework Based on Permissions’ in Association with IEEE International Conference for Advancement in Technology (ICONAT), 2022, pp. 1-5, DOI: 10.1109/ICONAT53423.2022.9726024
3. ‘An overview of Cyber security: Impacts and Mitigations’, ISBN: 978-1-6654-2578-0.
Design Patent:
ML based Android Ransomware Detection Device.
Application Number: 405816-001,
Date of Registration: 27/01/2024,
Date of Issue: 01/03/2024.
1. Presented a paper titled ‘DynaMalDroid: Dynamic Analysis-Based Detection Framework for Android Malware Using Machine Learning Techniques’ in IEEE International Conference on Knowledge Engineering and Communication Systems (ICKECS-2022) organized by the SJC Institute of Technology, Chickballapur, India on December 28-29, 2022.
2. Presented a paper titled ‘COVID-Themed Android Malware Analysis and Detection Framework Based on Permissions in IEEE Sponsored, International Conference for Advancement in Technology 2022 (ICONAT 2022) Goa, India.
3. Presented a paper titled ‘An overview of Cyber security: Impacts and Mitigations’ in National conference on Data mining and predictive analysis 2019 held at central university of Kerala
Ms Hashida Haidros Rahima Manzil
Assistant Professor
