EFFICIENT DATA SEARCH AND RETRIEVAL IN CLOUD ASSISTED IOT ENVIRONMENT
Journal Title: International Journal of Data Science and Artificial Intelligence - Year 2024, Vol 2, Issue 01
Abstract
Internet of Things (IoT) is expanding across a number of industries, including the medical field. Such a scenario might easily reveal sensitive information, such as private digital medical records, presenting potential security issues. Symmetric Searchable Encryption has been widely considered due to its promise to allow well-organized search on encoded data. Nevertheless, most SSE techniques ignore malicious cloud servers and need the data owner to provide the entire key in order to query users. In this paper, a novel technique has been proposed to solve these restrictions. Normalization, tokenization, word removal and stemming are used for preprocessing the data from the data owner and preprocessed data is divided into k-number of clusters using k-means clustering algorithm. The clustered data is encrypted using a Damgard-Jurik encryption algorithm. The efficiency of the proposed P2ADS technique has been determined using assessment metrics such as accuracy, encryption time, and decryption time. The proposed method's decryption time is 7.56%, 5.01%, 4.41%, and 3.50% quicker than that of the existing VPSL, ABKS, PERT, and PP-DSA methods respectively.
Authors and Affiliations
K. Paul Joshua and A. Jenice Prabhu
SEMANTIC FEATURE ENABLED AGGLOMERATIVE CLUSTERING FOR INFORMATION TECHNOLOGY JOB PROFILE ANALYSIS
The maintenance and implementation of computer systems are the core activities of information technology. Database administration and network architecture are also included in information technology. Professionals have a...
DEEP FORGERY DETECT: ENHANCING SOCIAL MEDIA SECURITY THROUGH DEEP LEARNING-BASED FORGERY DETECTION
Nowadays, security and legal applications both heavily rely on surveillance cameras. However, using various video editing software, the photos and video recordings can be easily edited. The captured information can be us...
DYNAMIC LOAD BALANCING IN CLOUD COMPUTING USING HYBRID KOOKABURRA-PELICAN OPTIMIZATION ALGORITHMS
Cloud Computing (CC) technology facilitates virtualized computer resources to users via service providers. Load balancing assumes a critical role in distributing dynamic workloads across cloud systems, ensuring equitable...
A STUDY ON SURGICAL ROBOTS AND THEIR RECENT DEVELOPMENTS
In recent years, Robotics has been rapidly developing with outstanding growth and innovation. This paper aims to analyze the key developments in the sub-domain of robotics such as medical robots, especially surgical robo...
DEEP LEARNING BASED WEARABLE DEVICE FOR OLDER PEOPLE MONITORINGSYSTEM
Activity recognition (AR) systems for older people are common in residential health care settings such as hospitals and nursing homes, thus numerous methodologies and studies have been developed to improve the effectiven...