Methodologies and Challenges of Cybersecurity Techniques in Cloud Computing Environment

Author:

Tiwari Mohit1ORCID,Tiwari Tripti2ORCID,Ticku Amrita3ORCID,Dadhwal Himanshu4ORCID,Singh Tushar1ORCID

Affiliation:

1. Department of Computer Science and Engineering, Bharati Vidyapeeth?s College of Engineering, India

2. Department of Management Studies, Bharati Vidyapeeth (Deemed to be University) Institute of Management and Research,, India

3. Department of Computer Science and Engineering, Bharati Vidyapeeth?s College of Engineering,, India

4. Computer Science and Engineering, Bharati Vidyapeet's College Of Engineering, India

Publisher

ACM

Reference40 articles.

1. MAPAS: a practical deep learning-based android malware detection system

2. A Performance-Sensitive Malware Detection System Using Deep Learning on Mobile Devices

3. Srivastava, P. K., Kumar, S., Tiwari, A., Goyal, D., & Mamodiya, U. (2023, June). Internet of thing uses in materialistic ameliorate farming through AI. In AIP Conference Proceedings (Vol. 2782, No. 1). AIP Publishing.

4. A Novel Malware Detection System Based on Machine Learning and Binary Visualization

5. Bayazit, E. C., Sahingoz, O. K., & Dogan, B. (2022, June). A deep learning based android malware detection system with static analysis. In 2022 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA) (pp. 1-6). IEEE.

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