Experimental Study of Location Spoofing and Identity Spoofing Attack in Internet of Things Network

Abstract

IoT devices are placed at open places, generally at where monitoring and controlling of devices from remote location is difficult. Location spoofing is a threat in which an intruder intentionally modifies the contextual information such as geolocation of a device. Location spoofed device will pass faulty data to the base station, and because of that, serious problems such as traffic jam in smart city application, machine malfunctioning in industry application can take place. So decision making in IoT applications to determine correctness of contextual information is a prime concern for smooth functioning of networks. Identity spoofing is a threat in which an attacker captures the identity information of a legal device and can misuse this stolen information for performing various cyber threats such as MITM, key stolen, and replay. The authors have simulated these attacks in Cooja simulator and investigated the performance of the network in the presence of these attacks. The conclusion is that these attacks affect network performance in an adverse way.