most citedOutsourced Analysis of Encrypted Graphs in the Cloud with Privacy Protection

36 citations · 112 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CR202410 cited

Privacy-Preserving Data in IoT-based Cloud Systems: A Comprehensive Survey with AI Integration

D. Dhinakaran, S. M. Udhaya Sankar, D. Selvaraj +1

As the integration of Internet of Things devices with cloud computing proliferates, the paramount importance of privacy preservation comes to the forefront. This survey paper metic…

cs.NI20235 cited

A Neural Radiance Field-Based Architecture for Intelligent Multilayered View Synthesis

D. Dhinakaran, S. M. Udhaya Sankar, G. Elumalai +1

A mobile ad hoc network is made up of a number of wireless portable nodes that spontaneously come together en route for establish a transitory network with no need for any central…

cs.CV202330 cited

Leveraging Semi-Supervised Graph Learning for Enhanced Diabetic Retinopathy Detection

D. Dhinakaran, L. Srinivasan, D. Selvaraj +1

Diabetic Retinopathy (DR) is a significant cause of blindness globally, highlighting the urgent need for early detection and effective treatment. Recent advancements in Machine Lea…

cs.CR20231 cited

A Secure Third-Party Auditing Scheme Based on Blockchain Technology in Cloud Storage

S. M. Udhaya Sankar, D. Selvaraj, G. K. Monica +1

With the help of a shared pool of reconfigurable computing resources, clients of the cloud-based model can keep sensitive data remotely and access the apps and services it offers o…

cs.NI202330 cited

Safe Routing Approach by Identifying and Subsequently Eliminating the Attacks in MANET

S. M. Udhaya Sankar, D. Dhinakaran, C. Cathrin Deboral +1

Wireless networks that are decentralized and communicate without using existing infrastructure are known as mobile ad-hoc networks. The most common sorts of threats and attacks can…

cs.CR202336 cited

Outsourced Analysis of Encrypted Graphs in the Cloud with Privacy Protection

D. Selvaraj, S. M. Udhaya Sankar, D. Dhinakaran +1

Huge diagrams have unique properties for organizations and research, such as client linkages in informal organizations and customer evaluation lattices in social channels. They nec…