Secured Data Aggregation Using Fibonacci Numbers and Unicode Symbols for Wsn

International Journal of Computer Engineering and Technology, 10(1), 2019, pp. 218-225

8 Pages Posted: 12 Mar 2020

See all articles by Mohamed Yacoab

Mohamed Yacoab

Assistant Professor, Department of Computer, MEASI Institute of Information Technology Chennai, India

Mohemmed Sha

Assistant Professor, Department of Computer Science, Prince Sattam bin Abdulaziz University, Saudi Arabia

Mohamed Mustaq Ahmed

Academic Advisor, Edgeover Technologies, Chennai, India

Date Written: 2019

Abstract

Wireless Sensor Network is a combination of one and more nodes basically used for data collection and data aggregation. The collected data is aggregated through a data aggregator and it will be sent to bases station. While data transfer takes place, the intruders sniff the data that are being transmitted from one node to another. In order to prevent data sniffing by the intruder a study is made to prevent data sniffing and data breaching its boundaries. A two-fold cryptographic method is proposed using Fibonacci number and Unicode systems. The proposed method is two-fold viz, converting the normal simple text to secret message ii) convert secret message to Unicode text. The proposed method uses a two-fold security key encryption algorithm for transfer of data in the Wireless sensor networks and a decryption algorithm is also provided to convert back to its normal plain text.

Keywords: Cipher Text, Data Aggregation, Sensor Networks, Fibonacci Number System, Unicode Symbols

Suggested Citation

Yacoab, Mohamed and Sha, Mohemmed and Mustaq Ahmed, Mohamed, Secured Data Aggregation Using Fibonacci Numbers and Unicode Symbols for Wsn (2019). International Journal of Computer Engineering and Technology, 10(1), 2019, pp. 218-225, Available at SSRN: https://ssrn.com/abstract=3537630

Mohamed Yacoab (Contact Author)

Assistant Professor, Department of Computer, MEASI Institute of Information Technology Chennai, India ( email )

87 PETERS ROAD
ROYAPETTAH
CHENNAI, TN 600014
India

Mohemmed Sha

Assistant Professor, Department of Computer Science, Prince Sattam bin Abdulaziz University, Saudi Arabia ( email )

Al Khar
Saudi Arabia

Mohamed Mustaq Ahmed

Academic Advisor, Edgeover Technologies, Chennai, India ( email )

Adayar
Chennai, TN 600 020
India

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