A Table Based Attack Detection (TBAD) scheme for Internet of Things: An approach for Smart City Environment

People wish to live in smart cities due to the better lifestyle that can be offered by such environments to the residents. Smart cities have been developed with the help of `Internet of Things' (IoT) network. The increased acceptance became a reason for the attackers to choose such environments as their first choice. Many attacks are present in the IoT network, which can directly affect the integrity of data and the smooth working of IoT network. The data integrity can be assured by using any of the existing end-to-end encryption schemes. But, the Denial of Service (DoS) attacks can harm the IoT network, if the system fails to find the source of attack. The attacking strategy and the pattern will differ each time, even for the same kind of attack. The proposed work mainly focuses on packet drop attacks and the way to detect the strategically different dropping attacks. This work gives an optimal solution to detect and prevent the gray hole and selfish node attacks present in Edge based Smart City environment. The proposed Table Based Attack Detection Scheme (TBAD) is a table based approach developed for the malicious free communication in Smart City Environment.