Anand R Nair
Amrita Vishwa Vidyapeetham, Amrita Vishwa Vidyapeetham - Amritapuri Campus
About
Assistant Professor at TIFAC-CORE in Cyber Security, Coimbatore, Amrita Vishwa Vidyapeetham, India.
Doctoral Researcher at the Dept. of CSE pursuing full-time doctoral research in Systems Security, Malware Analysis and Knowledge Representations. Delving deeper into Cyber Security Systems and Networks.
Member of Internet Governance groups such as ICANN, and ISOC.
Former Research Fellow (JRF) in a DST SERB funded project for ransomware analysis at Dept. of CSE.
Former Indian Fellow for India School of Internet Governance (inSIG 2021)
UGC NET qualified in 2019.
Former Lead - Training and Knowledge Transfer for KELTRON Knowledge Services. Teaching Faculty for courses in Cyber Security and Internet of Things (IoT).
Demonstrated experience in training professionals and academic scholars in courses related to Penetration Testing, Python Programming and Web Technologies. Experienced in teaching fundamental courses like Operating Systems, Computer Networks, Data Structures, Programming Languages, Cryptographic Protocols, Soft Computing, Artificial Neural Networks and training tools like Kali Linux, Burp Suite.
Experienced in Web Technologies like Python-Django, HTML, CSS, Javascript, jQuery, PHP, Drupal for Application Development in accordance to Agile Development model. Adherence to industrial practices in Software Development. Internship in Malware Analysis and iOS application development. Familiar with Data Analytics tools like Weka and TensorFlow.
Employment
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Amrita Vishwa Vidyapeetham Asssitant Professor2022 - Present
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Amrita Vishwa Vidyapeetham Junior Research Fellow2019 - 2022
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Amrita Vishwa Vidyapeetham - Amritapuri Campus Web Developer2013 - 2014
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (7)
- GUARD: Graph-based utility for adversarial ransomware detection using structural and behavioural characteristics Save
- Generating Bent Functions and Dynamic Filters: A Novel Equivalence-Based Approach Save
- Guard: Graph-Based Utility for Adversarial Ransomware Detection Using Structural and Behavioural Characteristics Save
- MAGIC: Malware behaviour analysis and impact quantification through signature co-occurrence and regression Save
- Ontology-Driven Behavioral Model for Ransomware Traceability Save
- Magic: Malware Behaviour Analysis and Impact Quantification Through Signature Co-Occurrence and Regression Save
- Ensemble Model Ransomware Classification: A Static Analysis-based Approach Save