z-logo
open-access-imgOpen Access
Privacy-Preserving Machine Authenticated Key Agreement for Internet of Things
Author(s) -
Beaton Kapito,
Mwawi Nyirenda,
Hyunsung Kim
Publication year - 2021
Publication title -
international journal of computer networks and communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.159
H-Index - 8
eISSN - 0975-2293
pISSN - 0974-9322
DOI - 10.5121/ijcnc.2021.13206
Subject(s) - computer science , anonymity , computer security , authentication (law) , internet of things , key (lock) , identity (music) , internet privacy , acoustics , physics
Internet of things (IoT) is the integration of computer-based systems and the physical world in which things interact with each other. Due to heterogeneity and resource-constrained feature of IoT devices, there are many privacy and security challenges resulting in many threat vulnerabilities in IoT environments. After reviewing and analyzing the recent IoT security, privacy, and authentication protocols, we will withdraw research gaps focused on the elimination of human factors in IoT authentication. In order to fill these research gaps, this paper proposes a privacy-preserving machine authenticated key agreement based on IoT, denoted as IoTMAKA. IoTMAKA uses dynamic identity and machine fingerprint to provide security and privacy. Security analysis shows that IoTMAKA provides anonymity and untraceability, provides freshness, and is secure against passive and active attacks. IoTMAKA reduces communication overheads by 20% and computational overheads by 25% on average as compared to the previous related works.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here