Biometric Security in Internet of Things Based System against Identity Theft Attacks

Over the years, the Internet of Things(IoT) has been gaining popularity and is being used everywhere. The IoT has its applications extended to almost every area of technology. Though it is being used everywhere, security issues have been a major problem even in the field of IoT. One such issue is the identity theft attack. At times when companies or organizations are in a rush to get the IoT devices to market, they sometimes leave the devices unsecured and these are easily prone to security attacks. Hackers can get access to the personal information of the users and can create fake identities and hack the devices. To reduce these sorts of identity thefts, biometrics can come into play since biometrics remain unique to each person and cannot be copied by others. Biometrics comprise of fingerprints, iris, retina, face recognition, DNA, palm print etc. In this paper, an analysis of the possible biometric solutions for the problem is made and one feasible and appropriate solution is implemented. After a complete analysis, a fingerprint-based identification and authentication model is implemented in this work. This model can prevent the IoT devices from getting hacked or can make them less prone to security attacks like Identity Theft.