Secure Authentication Framework for SDN-IoT network using Keccak-256 and Bliss-B algorithms

The software defined network (SDN) integrated with internet of things (IoT) reduces the scalability of IoT devices by managing the network. The SDN, on the other hand, is particularly subject to attacks since it relies on a centralised controller for network management, which attackers can simply al...

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Vydáno v:International journal of information technology (Singapore. Online) Ročník 15; číslo 1; s. 335 - 344
Hlavní autoři: Sahana, D. S., Brahmananda, S. H.
Médium: Journal Article
Jazyk:angličtina
Vydáno: Singapore Springer Nature Singapore 01.01.2023
Springer Nature B.V
Témata:
Artificial Intelligence
Authentication
Computer Imaging
Computer Science
Cybersecurity
Digital certificates
Enforcement
Hash based algorithms
Image Processing and Computer Vision
Internet of Things
Machine Learning
Original Research
Pattern Recognition and Graphics
Resource utilization
Smart houses
Software Engineering
Software-defined networking
Vision
SDN-IoT
Hash value
IFogSim
Authentication
Keccak-256 hashing algorithm
Internet of things (IoT)
Digital signature
Bliss-B algorithm
SDN
Trusted authority
ISSN:2511-2104, 2511-2112
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Shrnutí:The software defined network (SDN) integrated with internet of things (IoT) reduces the scalability of IoT devices by managing the network. The SDN, on the other hand, is particularly subject to attacks since it relies on a centralised controller for network management, which attackers can simply alter. Communication between users and resources must be authenticated using the internal security approach. The proposed work introduces the SAF-Secure Authentication framework, which improves security and delivers efficient services to entities by efficiently utilising the existing challenges. Initially, all the users and applications are registered with attributes by using the keccak-256 hashing algorithm based on the registration, the Authentication is performed to ensure legitimacy by generating digital certificates based on the attributes by using Bliss-B algorithm. The comparison of the proposed method with several relevant works are performed to evaluate and validate the performance. The proposed SAF architecture provides better computation overhead and resource utilization.
Bibliografie:ObjectType-Article-1
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ISSN:2511-2104
2511-2112
DOI:10.1007/s41870-022-01074-w