Vector space modelling-based intelligent binary image encryption for secure communication. (19th May 2022)

• Record Type: Journal Article
• Authors: Dankan Gowda, V.; Sharma, Avinash; Nagabushanam, M.; Govardhana Reddy, H. G.; Raghavendra, K.
• Is Part Of: Journal of discrete mathematical sciences & cryptography. Volume 25:Number 4(2022)
• Page Start: 1157
• Page End: 1171
• Publication Date: 2022-05-19
• Subjects: Primary 93A30 -- Secondary 49K15; Encryption -- Cryptography -- Sensor -- Network -- LEACH algorithm -- Steganographic image; Computer science -- Mathematics -- Periodicals; Cryptography -- Periodicals; Computer science -- Mathematics; Cryptography; Periodicals; 004.0151
• DOI: 10.1080/09720529.2022.2075090
• Languages: English
• ISSNs: 0972-0529

Abstract

Abstract: In this research work, a secured routing technique is developed based on the LEACH algorithm. Many secure routing algorithms were proposed in the past by modifying the LEACH algorithm with trust management techniques, key generation, and distribution technique and intrusion detection algorithms. Most present solutions are unable to address the issue of modifying and intercepting assaults. To tackle this problem, a new secured routing algorithm is developed in this work that divides the image and messages into sub-components, represent them in a matrix format and add them to get a steganographic image which is encrypted using a suitable encryption algorithm selected by the rule system developed in this research work. Moreover, intelligent agents are incorporated in all the sensor nodes in the network to communicate the encrypted images to the neighbor nodes more reliably.