Kaushik Sathupadi, Sandesh Achar, Shinoy Vengaramkode Bhaskaran, Nuruzzaman Faruqui et al.
Sensor networks generate vast amounts of data in real-time, which challenges existing predictive maintenance frameworks due to high latency, energy consumption, and bandwidth requirements. This research addresses these limitations by proposing an edge-cloud hybrid framework, leveraging edge devices ...
Sandesh Achar, Nuruzzaman Faruqui, Md Whaiduzzaman, Albara Awajan et al.
Cyber-physical security is vital for protecting key computing infrastructure against cyber attacks. Individuals, corporations, and society can all suffer considerable digital asset losses due to cyber attacks, including data loss, theft, financial loss, reputation harm, company interruption, infrast...
Kaushik Sathupadi, Sandesh Achar, Shinoy Vengaramkode Bhaskaran, Nuruzzaman Faruqui et al.
The rapid growth of Internet banking has necessitated advanced systems for secure, real-time decision making. This paper introduces BankNet, a predictive analytics framework integrating big data tools and a BiLSTM neural network to deliver high-accuracy transaction analysis. BankNet achieves excepti...
Sandesh Achar, Nuruzzaman Faruqui, Anusha Bodepudi, Manjunath Reddy
The world is expiring a 23% annual data growth rate and is projected to have a total surplus volume of 175 Zettabytes by 2025. It imposes significant challenges for small to medium-sized businesses to allocate funds for large-size data storage. The initial large upfront and maintenance costs have ma...
Nuruzzaman Faruqui, Sandesh Achar, Sandeepkumar Racherla, Vineet Dhanawat et al.
Security grids consisting of High-Definition (HD) Internet of Things (IoT) cameras are gaining popularity for organizational perimeter surveillance and security monitoring. Transmitting HD video data to cloud infrastructure requires high bandwidth and more storage space than text, audio, and image d...
Oluwatosin David Abodunrin, Pritam Acharya, Isheka Agarwala, Ra’ed Al‐Dboush et al.