Research On Energy Consumption Measurement And Key Management For Mobile Botnet

In recent years, Smart phones integrate bluetooth, 4Q fingerprint recognition and other emerging technologies, which makes smart phones support more services, such as online shopping, business finance, teaching assistant and so on. Its rapid development has also attracted the attention of attackers,making the threat of smart phones are endless. The mobile botnet which evolved from the traditional botnet has a greater threat and better invisibility to users compared with other threats. Attackers can use mobile botnets to carry out a variety of malicious activities, such as distributed denial of service, remote control, phishing fraud. In order to effectively deal with the threat of mobile botnet, this paper study on the detection method, meanwhile, we also need to stand in the angle of botnet controller to explore its key issues. Based on the purpose of "Know one's self and know the enemy" and "Attacking and preventing" to promote the research on mobile botnet Technology. Compared with the traditional computer, the mobile phone has characteristics of portability, low storage capacity and poor CPU processing capability, so the design opinion and technology can't apply to the mobile botnet directly, the traditional botnet technology should be improved and applied according to the characteristics of the smart mobile phones, the main innovation points of this paper is as follows:(1) We proposed to design a new mobile botnet based on the characteristics of cellular communication and combined with existing mobile botnet architecture, analyze its node type,propagation process, network topology, command and control mechanism, and analyze the mobile botnet connectivity problem;(2) In order to improve the concealment of mobile botnet and guarantee the survival time and scale of botnet to the maximum, we have proposed to evaluate the difference of botnet power by using the Gini coefficient, divide the network nodes into two categories according to the electric quantity: energy adequacy node, energy shortage node and give the selection algorithm and optimization strategy of the botnet;(3) In order to ensure the secure communication between nodes, we proposed to design a new key management scheme. It mainly based on the connectivity of mobile botnet to improve the current popular LNT scheme, the improved scheme is analyzed from the aspects of communication, key distribution and member management, the result shows that the improved scheme has higher applicability to the mobile botnet and lower communication cost than existing EBS, LKH scheme.