PRIVACY PROTECTION ALGORITHM FOR SOURCE NODE LOCATION BASED ON PHANTOM ROUTING IN THE INTERNET OF THINGS ENVIRONMENT

Generally speaking, different source location protection strategies have played an important role in protecting location security of source nodes, and prolonged attackers' time to locate source nodes. Different strategies have different requirements for the network, and the degree of security protection for the source node location is different. In order to ensure the diversification of geographic location for phantom nodes, this paper proposes a privacy protection algorithm for source node location based on phantom routing in the Internet of Things environment. The algorithm more effectively resists attacks from strong visual attackers and strengthens the privacy protection of source location. Firstly, a network model is constructed, base stations are used to broadcast to the entire network for obtaining the hop count of each node and base station, and then a hop count table is constructed. Subsequently, two nodes away from base stations are randomly selected from the hop count table to form a set of candidate phantom nodes. And the data packet with two candidate phantom node IDs is broadcast to the whole network. Further, the phantom node positions are scattered away from source nodes by the twice selection of phantom nodes. In addition, the transmission path avoids nodes that easily cause failure paths, thereby achieving a balance of network security requirements. Finally, the simulation experiment proves that the proposed algorithm has a good privacy protection effect and is better than several comparison algorithms.