A solution to regulate hacking into devices supporting the Internet of Things (IoT) has been developed by a team of researchers at Indian Institute of Technology (IIT) Kharagpur led by Mr. Debdeep Mukhopadhyay, Computer Science at IIT Kgp. The researchers used ‘Routine Sniffers’, a device or programme that monitors data travelling over a network to attack a WiFi Camera or video that streams and transfers to a Personal Computer (PC). Initially, the device spoofs the IP of the camera by injecting its own videos. Later, the PC starts recording a wrong streaming file that can be used by the attacker in various ways.
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The solution developed by IIT Kharagpur binds a unique Physically Unclonable Functions (PUF)-based identity to the WiFi Camera. Through this process, the attacker will not get any idea or knowledge of the PUF solution that could be connected to the receiver PC. The speciality of the PUF solution is that it cannot be cloned. No device without PUF can communicate or connect with the PC ultimately stopping/ regulating the attack.
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PUF works as lightweight fingerprints of the devices. The device consumes less power which a computer programme cannot describe. The PUFs offer a unique identity that is verified with the help of principles of Identity-Based Encryption (IBE). The solution developed by the researchers can be used in smart grids, tactical networks, industrial IoT applications, medical IoT applications, smart homes and video surveillance.