Visible to the public Biblio

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Miatra, Ayati, Kumar, Sumit.  2020.  Security Issues With Fog Computing. 2020 10th International Conference on Cloud Computing, Data Science Engineering (Confluence). :123–128.
Fog computing or edge computing or fogging extends cloud computing to the edge of the network. It operates on the computing, storage and networking services between user-end devices and cloud computing data centres. However, in the process of caring out these operations, fog computing is faced with several security issues. These issues may be inherited from cloud computing systems or may arise due to fog computing systems alone. Some of the major gaps in providing a secure platform for the fog computing process arise from interim operational steps like authentication or identification, which often expands to large scale performance issues in fog computing. Thus, these issues and their implications on fog computing databases, and the possible available solutions are researched and provided for a better scope of future use and growth of fog computing systems by bridging the gaps of security issues in it.
Bhandari, Chitra, Kumar, Sumit, Chauhan, Sudha, Rahman, M A, Sundaram, Gaurav, Jha, Rajib Kumar, Sundar, Shyam, Verma, A R, Singh, Yashvir.  2019.  Biomedical Image Encryption Based on Fractional Discrete Cosine Transform with Singular Value Decomposition and Chaotic System. 2019 International Conference on Computing, Power and Communication Technologies (GUCON). :520—523.

In this paper, new image encryption based on singular value decomposition (SVD), fractional discrete cosine transform (FrDCT) and the chaotic system is proposed for the security of medical image. Reliability, vitality, and efficacy of medical image encryption are strengthened by it. The proposed method discusses the benefits of FrDCT over fractional Fourier transform. The key sensitivity of the proposed algorithm for different medical images inspires us to make a platform for other researchers. Theoretical and statistical tests are carried out demonstrating the high-level security of the proposed algorithm.