In:
Concurrency and Computation: Practice and Experience, Wiley, Vol. 32, No. 18 ( 2020-09-25)
Abstract:
Currently, wireless sensor networks (WSNs) have been widely developed in different domains. Generally, sensors work independently, so it is relatively easier for a WSN to add new nodes. Often, a WSN is constrained to low energy consumption. However, data encryption/decryption not only takes a long time but also consumes many network resources. Due to limited battery power and CPU capability, a sensor's encryption algorithm should not be complicated. However, a simple security algorithm will downgrade the system's security level. Hence, designing a secure wireless transmission system with high encryption/decryption performance, particularly for 5G networks, is an urgent task. Therefore, in this study, we propose an efficient and secure approach, named the S ymmetric Ke y M atrix and R ectangular F rame Scheme (SKeMRF, for short), which involves security mechanisms to speed up encryption/decryption operations for a WSN. Further, the SKeMRF integrates global S ymmetric K ey Matrix ( SKM , for short) and other security mechanisms to ensure the security of transmitted data and enable the system to effectively resist the forgery KDS attack, thus greatly enhancing security of the whole system. Theoretical analysis and simulation show that the SKeMRF is an efficient and highly secure WSN compared with those state‐of‐the‐art schemes.
Type of Medium:
Online Resource
ISSN:
1532-0626
,
1532-0634
Language:
English
Publisher:
Wiley
Publication Date:
2020
detail.hit.zdb_id:
2052606-4
SSG:
11
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