International Journal Of Imaging

Abstract

VLSI Implementation of Medical Image Cryptanalysisfor IOT device-to- device Communication

Author: Umannagari Vandana, Bandaru Venkata Siva Krishna, J.Gopi Krishna, N.Sri Datta Karthikeya, Mrs .G .Vinutna Ujwala

Abstract:

In recent years, the global market for medical image analysis is projected to grow from approximately $2 billion in 2021 to over $8 billion by 2026, reflecting an increasing reliance on imaging technologies in healthcare. With the proliferation of Internet of Things (IoT) devices, the need for secure medical image transmission has become critical, as healthcare data breaches have risen by 25% annually. However, existing implementations using CMOS technology and basic gates face significant limitations, including high power consumption, slow processing speeds, and susceptibility to security vulnerabilities, which jeopardize the integrity of sensitive medical images. This paper presents a novel VLSI implementation of reversible logic gates (RLG) based image cryptography combined with linear feedback shift register (LFSR) keys, specifically designed for IoT device-to- device communication. The proposed method utilizes RLG to facilitate energy-efficient encryption while mainta