IEVCA: An efficient image encryption technique for IoT applications using 2-D Von-Neumann cellular automata
- PDF / 12,814,084 Bytes
- 39 Pages / 439.642 x 666.49 pts Page_size
- 75 Downloads / 228 Views
IEVCA: An efficient image encryption technique for IoT applications using 2-D Von-Neumann cellular automata Satyabrata Roy1 · Manu Shrivastava1 · Chirag Vinodkumar Pandey1 · Sanjeet Kumar Nayak2 · Umashankar Rawat1 Received: 27 April 2020 / Revised: 10 September 2020 / Accepted: 15 September 2020 / © Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract Present era is marked by exponential growth in transfer of multimedia data through internet. Most of the Internet-of-Things(IoT) applications send images to cloud storages through internet. However, in sensitive applications such as healthcare, defense, etc., these images should be encrypted before transmission through insecure public channels to gateway fog nodes. Conventional encryption algorithms cannot be used there due to the resource constraint characters of IoT devices. Here, Cellular Automata (CA) based encryption algorithms can be used because of their inherent simplicity in implementation in hardware, without affecting the capability of generating highly random sequences. In this paper, a lightweight, robust and secure image encryption technique has been proposed using 2-D Von-Neumann Cellular Automata (VCA), called IEVCA, which is lossless, correlation immune and has all the essential properties of a good image cipher. Additionally, the proposed technique passes all the randomness tests of DIEHARD and NIST statistical test suites. Moreover, several security and performance analyses of the IEVCA proved its efficiency and resistance against security attacks. Experimental results of the IEVCA show its better performance when compared to the existing encryption techniques. Keywords Lightweight · IoT · Image encryption · 2-D Cellular automata · Block cipher
1 Introduction The rapid outbreak of Internet of Things (IoT) is one of the astounding technologies that has made a high impact in the modern life and livelihood of people. IoT was invented by Kevin Ashton from Massachusetts Institute of Technology (1998) [20]. It is not a standalone technology, rather, it is a mixture of many other technologies, platforms, cyber-physical systems and so on and so forth. More specifically, it is an extended network of physical Manu Shrivastava
[email protected]
Extended author information available on the last page of the article.
Multimedia Tools and Applications
objects or “things” combined with different components such as sensors, actuators, microcontrollers, many cyberunits, internet and other connectivity enablers so that “things” can transmit data among each other from anywhere and everywhere in the form of image, audio, video, signal, text etc. IoT comes with broader challenges of synchronization among different platforms that are limited by their own constraints in terms of framework, connectivity, power consumption, bandwidth, communication range and compatibility. However, once developed, it can perform the herculean tasks of surveillance, healthcare monitoring, industry automation, agricultural automation, environmen
Data Loading...
