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The evolution of the Internet of Things (IoT) has increased the connection ofpersonal devices, mainly taking into account the habits and behavior of theirowners. These environments demand access control mechanisms to protect themagainst intruders, like Sybil attacks. that can compromise data privacy ordisrupt the network operation. The Social IoT paradigm enables access controlsystems to aggregate community context and sociability information from devicesto enhance robustness and security. This work introduces the ELECTRON mechanismto control access in IoT networks based on social trust between devices toprotect the network from Sybil attackers. ELECTRON groups IoT devices intocommunities by their social similarity and evaluates their social trust,strengthening the reliability between legitimate devices and their resilienceagainst the interaction of Sybil attackers. NS-3 Simulations show the ELECTRONperformance under Sybil attacks on several IoT communities so that it hasgotten to detect more than 90% of attackers in a scenario with 150 nodes intooffices, schools, gyms, and~parks communities, and in other scenarios for samecommunities it achieved around of 90\% of detection. Furthermore, it providedhigh accuracy, over 90-95%, and false positive rates closer to zero.

An Access Control for IoT Based on Network Community Perception and Social Trust Against Sybil Attacks