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The Convergence of Encryption and Decryption Algorithms for Security in WSN

Submission status
Closed
Wireless sensor networks are multi-hop wireless self-organizing network technologies utilizing wireless communication. They are widely used in environmental and medical monitoring, disaster response, community security, counter-terrorism, hazardous and damaging regional, and remote control, including industries, agricultural, manufacturing, and urban management. To stop harmful assaults and provide a usually secure working environment, they need features like confidentiality protection and authentication. Security for wireless sensor networks has been developed and has obtained numerous achievements. The wireless sensor systems are indicating an increase in the number of security risks. The DES and RSA algorithms encrypt and decrypt information for network security by generating energy-efficient keys. Wireless sensor networks improve channel quality. In wireless sensor networks, various keys are developed to safeguard the information transmitted across networks, which further elongates the networks' lifetimes. The provided data are encrypted and decrypted on the network to effectively protect the information before we analyze the outcomes utilizing DES and RSA algorithms. Secure information routing in wireless sensor networks is a significant challenge for working in the field. The challenges with a WSN provide several solutions to complex problems. We develop efficient and trustworthy decryption and encryption techniques algorithms for secure communications to resolve the security issue confronted by existing WSN systems. The algorithm combines substitution and transposition cipher methods to produce the encryption algorithm. This algorithm was implemented as a consequence of analyzing several algorithms that are presently in operation. This Special Issue should provide researchers and practitioners in the rapidly develo** area of sensor networks a compelling venue to discuss their findings and keep track of cutting-edge studies that are especially influenced by nature, society, economics, and other disciplines. This issue especially seeks advanced concepts and technological solutions for sensor network protocols and algorithms that use techniques from different fields. Problems with algorithms and protocol development for wireless sensor networks may be solved by applying these cross-disciplinary techniques to sensor networks. Another issue that must be addressed includes cross-layered design and energy awareness.

Editors

  • Dr. S.B. Goyal Dr. S.B. Goyal , 

    Dr. S.B. Goyal

    Faculty of Information Technology, City University, Petaling Jaya 46100, Malaysia Email: sb.goyal@city.edu.my, drsbgoyal.cu@gmail.com Google Scholar: https://scholar.google.com/citations?user=gqb9u7UAAAAJ&hl=en&oi=sra

  • Dr. Anand Singh Rajawat Dr. Anand Singh Rajawat , 

    Dr. Anand Singh Rajawat

    School of Computer Sciences and Engineering, Sandip University, Nashik 422213, India Email: dranandsrajawat@gmail.com Google Scholar: https://scholar.google.com/citations?user=s5Eh414AAAAJ&hl=en

  • Dr. Tony Jan Dr. Tony Jan  &

    Dr. Tony Jan

    Artificial Intelligence and Optimization Research Centre, Faculty of Design and Creative Technology, Torrens University, Sydney, Australia Email: tony.jan@torrens.edu.au Google Scholar: https://scholar.google.com.au/citations?user=hlqE8goAAAAJ&hl=en

  • Dr. Chaman Verma Dr. Chaman Verma

    Dr. Chaman Verma

    Department of Media and Educational Informatics, Faculty of Informatics, Eötvös Loránd University, 1053 Budapest, Hungary Email: chaman@inf.elte.hu Google Scholar: https://scholar.google.com/citations?user=Mn7kzEgAAAAJ&hl=en

Articles (10 in this collection)