Denial of Service (DoS) attack is one of prevalent and mass-destructive threats to web servers, which aims at shutting down a target server by depleting its resource and obliging the victim incapable of offering stable and integrated service to legitimate clients. Client puzzle is proposed for a promising countermeasure against DoS attacks. In this paper, we propose a new trapdoor-based client puzzle to overcome most of the underlying drawbacks of the traditional ones. Our trapdoor-based client puzzle is provably secure.

On the basis of the information perception technology and mobile interconnection technology, through the technology of Agriculture Internet of Things, the multi-sensor system integration is realized, and the collaborative sensing of habitat information come true in crop production. This paper designs architecture of hardware and software for the system. By wireless multi-hop and seamless connection technologies of "triple net integration", common interfaces and scanning technologies of multi-sensor standard signal transform are used to achieve the multi-parameter information acquisition of crop during its growth. Wireless monitoring nodes of the Agriculture Internet of Things are distributed in each measurement point of the farmland, and they are responsible for information collection, pretreatment, and wireless transmission of eight parameters data, including the environment temperature, environment temperature, Light intensity, Carbon dioxide content, soil temperature, soil humidity, soil pH, soil salt. The data processing and service system execute remote data storage and on-line information release. The intelligent decision support system achieve real-time warning of abnormal parameters. Experiments show that the architecture of the system is reasonable, and the system has good accuracy, stability and reliability, in line with the practical application of grassroots agricultural field.

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Secure Transmission Model of massive train information is mainly to cater for train-ground information transmission system, to solve the high reliability and high security issues of massive moving train data. Secure Transmission Model technology scheme of massive train information includes software solutions and hardware technology solutions.

Large-capacity vehicle transmission technology, including dynamic collection of the detection data, has an important significance on the safety detection of the city rail train which is related to the safety of rail transit operation. On the basis of the classification and priority assignment of the detection data, this paper adopts slice sequence dynamic extraction algorithm to establish the information transmission priority queue.