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ISSN: 2321-9939 | ESTD Year: 2013

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Paper Title
Analytical Model for Evaluating Key Strength Probability in Wireless Sensor Networks
  Turki Alshammari,  Mohammed Alwakeel

The applicability of wireless sensor networks (WSN) to a wide spectrum of applications has been largely proved. However, the risk of a seizure of the network as well as data transferred via it is always attached to the use of WSN, which marks the need for safety measures to impede spoofing. Encryption with the use of cryptography algorithms is the most frequent means of ensuring the security of the network and privacy of the data transmitted. The uniqueness of our system lies in the assistance provided to the user for deciding on a security protocol so that our WSN can ensure the minimum degree of security that is needed. In addition, our system determines the duration of security of a private key in a node which does not need to start with the mechanism of key exchange, as it poses an enormous load on a size-restricted resource node. This research assists in building an analytical framework to evaluate the performance of numerous algorithms of cryptography employed in WSN. This assessment particularly uses an indispensable strength probability measure. The designed algorithm is adequately adaptable and easily applicable to compare the performance of various algorithms. The created system is anticipated to furnish the desirable QoS to WSN and conserve the member node’s energy.

Keywords- Cryptography Algorithms, Wireless Sensor Network, Security Metrics, Key Strength Probability.
Publication Details
Unique Identification Number - IJEDR2104020
Page Number(s) - 101-107
Pubished in - Volume 9 | Issue 4 | November 2021
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
  Turki Alshammari,  Mohammed Alwakeel,   "Analytical Model for Evaluating Key Strength Probability in Wireless Sensor Networks", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.9, Issue 4, pp.101-107, November 2021, Available at :http://www.ijedr.org/papers/IJEDR2104020.pdf
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