Ministry of Education
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Dr Manohar Naik S

vidwan id: 102440
Male

Assistant Professor, Department of Computer Science
Central University of Kerala

Orchid Icon 0000-0002-1059-8945 Google Scholar Icon 57190007466 Researcher Icon IYJ-5199-2023 Google Scholar Icon nxCM3oUAAAAJ

Expertise

  • Computer Science Cybernetics

Publications

Total Articles 21
Books 0
Proceedings 0

Publications

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Scopus

Citations 269
h-index 7

CrossRef

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Citations 168
h-index 6
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Professional Recognition

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Community & Membership

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Bio

Expertise in Cyber Security, Artificial Intelligence, Machine Learning, Deep Learning, Wireless Sensor Networks, Cryptography & Network Security, Android Security.

Personal Details

  • Male
  • Assistant Professor , Central University of Kerala
  • Central University of Kerala, Tejaswini Hills, Periye
PhD
Other Institute 2017
Assistant Professor Nov 2015 – Present
Central University of Kerala | Department of Computer Science

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Co-Authors (3)

Challa

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Scholarly Work

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DESIGN AND DEVELOPMENT OF METHODOLOGIES FOR DISTRIBUTED DENIAL OF SERVICE ATTACKS TO ENHANCE NETWORK SECURITY

University Central University of Kerala
Year 2024

Android Malware Detection: Static, Dynamic, and Hybrid Approaches

University Central University of Kerala
Year 2024
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Scholarly Publications

Cyber-Secure SDN: A CNN-Based Approach for Efficient Detection and Mitigation of DDoS attacks

Open Access
Article
Year: 2024. Volume: 139 .
Authors: Najar A.A.;Manohar Naik S.
DOI 10.1016/j.cose.2024.103716
27 40

Android ransomware detection using a novel hamming distance based feature selection

Open Access
Article
Journal of Computer Virology and Hacking Techniques. Year: 2024. Volume: 20 , Issue: 1 , Pages: 71-93 .
Authors: Rahima Manzil H.H.;Naik S.M.
DOI 10.1007/s11416-023-00495-w
10 10

Detection approaches for android malware: Taxonomy and review analysis

Open Access
Review
Expert Systems with Applications. Year: 2024. Volume: 238 .
Authors: Haidros Rahima Manzil H.;Manohar Naik S.
DOI 10.1016/j.eswa.2023.122255
17 20

Enhancing Phishing Website Detection with Feature Credibility Score and Weighted Threshold using Neural Networks

Open Access
Conference Paper
Year: 2023.
Authors: Sruthi K.;Manohar Naik S.
DOI 10.1109/INCOFT60753.2023.10425176

Android malware category detection using a novel feature vector-based machine learning model

Open Access
Article
Cybersecurity. Year: 2023. Volume: 6 , Issue: 1 .
Authors: Manzil H.H.R.;Manohar Naik S.
DOI 10.1186/s42400-023-00139-y
28 42

COVID-Themed Android Malware Analysis and Detection Framework Based on Permissions

Open Access
Conference Paper
Year: 2022.
Authors: Manzil H.H.R.;Naik M.S.
DOI 10.1109/ICONAT53423.2022.9726024
4 7

Covid-19 Impact on Cyber Crimes in India: A Systematic Study

Open Access
Conference Paper
Year: 2022.
Authors: Najar A.A.;Naik S M.
DOI 10.1109/INDISCON54605.2022.9862935
1 3

DynaMalDroid: Dynamic Analysis-Based Detection Framework for Android Malware Using Machine Learning Techniques

Open Access
conference-paper
Year: 2022.
Authors: