Research On Worm Propagation And Prevention-cure In Internet Of Vehicles

Worm has been became one of the serious security threats of network with its large range attack, burst rapidly, better pertinence and controllability, and examples showed that worm has been upgraded to the super network weapon of national strategy security level. IOT and IOV technology developed, applied, deployed quickly, has provided integrated service for drivers, passengers, and contribution to popularizing traffic intelligentize, meanwhile, has provided platform for worm invasion and propagation. Facing the IOV environment with system resources and network resources scarcity, worm could easily cause network anomaly and even network paralysis, so lead to serious IOV notwork hidden danger. Therefore, with a view to the problem of worm intrusion threat of IOV, this paper developed job, containing worm propagation law research in IOV environment, and worm effective countermeasure research on this basis, and could provide effective theoretical foundation for real-time monitoring and prevention-cure against worm in IOV application in the future.In order to guarantee the network security of IOV, according to the worm propagation and precaution-cure against worm, IOV worm propagation model and law in realistic road network had been deeply analysed and researched, and a novel anti-worm strategy for precaution-cure has been proposed based on this propagation model and law.Firstly, based on the different typical factor of IOV compared with traditional networks, which could influence worm propagation, for example, vehicle nodes in complex road conditions omnirange driving, the barrier, interference and superposition influence of road environment on wireless communication signal, etc, according to worm propagation, combined the Intelligent Driver Model, a novel IOV worm propagation model (IOVWPM) was constructed. IOVWPM was constituted with motility and contact probability model, the mobile channel and link probability model and dynamics of IOV worm propagation model of vehicle nodes, could preferably show the influence over worm propagation by these components. Simulation experiment results was consistent with the theory of IOVWPM IOVWPM could actually simulate the worm propagation and provide a theoretical basis for programming real-time detection strategy and preventing worm destructive propagation in IOV.Secondly, according to the characteristic worm propagation and prevention-cure demand different from traditional networks, a novel anti-worm model in IOV based on divide-and-Conquer with velocity (IOVAWM) was constructed based on divide-and-conquer with velocity. This paper treated the drive velocity of vehicle node as the switch condition between active and passive anti-worms in hybrid anti-worms, and controled alternating action of active and passive anti-worms based on this switch condition, so as to carry forward advantages and to avoid disadvantages of them. Simulation experiment results showed the better effect of IOVAWM for worm prevention-cure could be achieved, could not only better contain the IOV worm propagation, but also could better hold down the network resource spending in anti-worm.Thirdly, according to the particular driving condition and notwork condition of expressway network, the worm propagation law in expressway network has been summarized, and simulation experiment results showed the better effect of IOVAWM for worm prevention-cure also could be achieved in expressway network, could not only better contain the IOV worm propagation, but also could better hold down the network resource spending in anti-worm.Finally, according to the dynamic characteristic of IOV communication cluster and unstable connectivity characteristic among vehicle nodes in expressway network, a novel passive pesponse anti-worm model in IOV based on unstable connectivity environment (IOVPRAWM) was constructed. Anti-worm passive pesponse mechanism eliminated the network resource spending by active anti-worm sending round probe packets actively, and could traceability send anti-worm back for containing; and the anti-worm transmission mechanism based on unstable connectivity environment ensured anti-worm’s effective transmission in unstable connectivity condition. Simulation experiment results showed IOVAWM could not only better contain the IOV worm propagation, but also could better eliminate the network resource spending by active anti-worm sending round probe packets actively and hold down the network resource spending in anti-worm. Beneficial exploration has been made for network security protection in expressway network IOV environment, and effective prevention-cure worm destructive propagation.