TARU PUBLICATIONS
Journal of Discrete Mathematical Sciences and Cryptography cover
Hybrid ·Peer-reviewed·ISSN (Online): 2169-0065·ISSN (Print): 0972-0529

Monthly Journal: Publishes theoretical and applied research in all areas of Discrete Mathematical Sciences, Cryptography, Combinatorics, Elliptic Curves and Information Security.

Issues up to 2022 co-published with and available at:Taylor & Francis Online
submissions@tarupublications.com
Open Access Research Article

Cryptographic image-based data security strategies in wireless sensor networks

* , , , , ,

* Corresponding author · click or hover a name for details

pp. 293–304Vol. 27Issue 2-AMarch 2024DOI: 10.47974/JDMSC-1883 Crossmark XML
Published Online:
06 Apr 2024
Article type:
Research Article
Language:
EN
Article no.:
JDMSC-1883
Pages:
293–304

Abstract

There is need to develop and create new data protection mechanisms aimed at the compensating for the lack of security of WSNs. This paper introduces new cryptographic image-based techniques aimed at improving data security in WSNs. The solution also integrates imaging processing techniques with advanced cryptographic principles to merge a two-layered security architecture. This work provides a new WSN-specific encryption algorithm that delivers low energy consumption and smaller computational burden. Likewise, this is connected to an image-based authentication approach which employs steganographic methods in the information hiding technique. Intensive simulations allow the approach that supports methodology, naming increased security metrics obtained without decreasing in network performance. This study seeks to fill the gap in current practice in WSN security and provides a foundation for future research on image-based techniques integrated with cryptographic algorithms aiming at more secure data protection under limited resources.

Keywords

Subject Classifications

(2010) 94A6020C0520C07

References

[1] Shabana Urooj, Shabana Mehfuz, S Kalathil, Cryptographic Data Security for Reliable Wireless Sensor Network, Alexandria Engineering Journal, Volume 72, Pages 37-50 (2023).
[2] P. Ramadevi, S. Vijayakumar, R. Sudha, Security for wireless sensor networks using cryptography, Measurement: Sensors,Volume 29, 100874 (2023).
[3] Sadashiva V. Chakrasali, A. Azhagu Jaisudhan Pazhani, Computer vision based healthcare system for identification of diabetes & its types using AI, Measurement: Sensors, Volume 27, 10075 (2023).
[4] Naidu, P. Ramesh,  Gupta, Anand Kumar. Development of object identification model with deep reinforcement learning algorithm, Journal of Information aHarnessing intelligent systems for water managementnd Optimization Sciences, 44:3, 355–367 (2023).
[5]  Sharma, Parismita, Anand Kumar. A novel approach of unsupervised feature selection using iterative shrinking and expansion algorithm, Journal of Interdisciplinary Mathematics, 26:3, 519-530 (2023).
[6] Prasad, K.D.V., Chinamuttevi, Veera Sivakumar. A novel RF-SMOTE model to enhance the definite apprehensions for IoT security attacks, Journal of Discrete Mathematical Sciences and Cryptography, 26:3, 861-873 (2023). 
[7] Kumar, Pullela SVVSR,  Chaturvedi, Abhay. Securing networked image transmission using public-key cryptography and identity authentication, Journal of Discrete Mathematical Sciences and Cryptography, 26:3, 779-791 (2023).
[8] M. Nagabushanam, K. Raghavendra. Vector space modelling-based intelligent binary image encryption for secure communication, Journal of Discrete Mathematical Sciences and Cryptography, 25:4, 1157-117 (2022).
[9] Ghazaala Yasmin, Jaisudhan Pazhani, A novel method of data compression using ROI for biomedical 2D images, Measurement: Sensors, Volume 24, 100439 (2022), ISSN 2665-9174.
[10] Ravi Shankar, Naziya Hussain, Industrial quality healthcare services using Internet of Things and fog computing approach, Measurement: Sensors, Volume 24, 100517 (2022), ISSN 2665-9174.
[11] Pullela SVVSR Kumar, B. Ashreetha, Performance Analysis of Energy Efficiency and Security Solutions of Internet of Things Protocols. IJEER 11(2), 442-450 (2023).
[12] N. Hussain, A. K. . N, “A Novel Method of Enhancing Security Solutions and Energy Efficiency of IoT Protocols ”, IJRITCC, vol. 11, no. 4s, pp. 325–335 (May 2023).
[13] N. S. Reddy and B. Ashreetha, “Technologies for Comprehensive Information Security in the IoT,” 2023 International Conference for Advancement in Technology (ICONAT), Goa, India, pp. 1-5 (2023).
[14] Anil Kumar & Sandeep Kumar Sharma. Information cryptography using cellular automata and digital image processing, Journal of Discrete Mathematical Sciences and Cryptography, 25:4, 1105-1111 (2022), DOI: 10.1080/09720529.2022.2072437.
[15] Sharma, S.K., Kumar, A., Digital Image Transformation Using Outer Totality Cellular Automata. Machine Intelligence Techniques for Data Analysis and Signal Processing. Lecture Notes in Electrical Engineering, vol 997. Springer, Singapore (2023). https://doi.org/10.1007/978-981-99-0085-5_69.
[16] S P Ravi and L Dhanalakshmi, “DWT and Modified AES based Secure Image Steganography on ARM A8 Processor”, International Journal of Engineering Research & Technology (IJERT) (2015).
[17] N.B. Anuar, S. Misra, “Artificial immune system for detecting intrusion instego-crptonetworks”, Journal of Computer and Net work Applications, vol. 42, no. 4, pp. 102-117 (2019).
[18] P. Karthika and P. Vidhya Saraswathi, “Image Security Performance Analysis for SVM and ANN Classification Techniques” in In: International Journal of Recent Technology and Engineering (IJRTE), vol. 8, no. 4, pp. 436-442 (2019).
[19] E. Y. Baagyere and M. I. Daabo, “A New Image Encryption and Decryption Technique using Genetic Algorithm and Residual Numbers”, 2019 IEEE AFRICON, pp. 1-9 (2019).
[20] Chen and C. Chieh Lee, “Improvement of an Encryption Scheme for Binary Images”, Pakistan Journal of Information and Technology, vol. 2, no. 2, pp. 191-200 (2018).

Views: 399Downloads: 86Citations: 11