Botnets have become one of the most serious security threats to the traditional Internet world. Although the mobile botnets have not yet caused major outbreaks worldwide in cellular network, but most of the traditional botnet experience can be transferred to mobile botnet on mobile devices, so mobile botnet may evolve faster since techniques are already explored. From the theoretical work of some researchers and the reports of security companies, we can see that the mobile botnet attacks and trends are quite real. In this paper, we proposed a SMS based heterogeneous mobile botnet, and shown how SMS based C&C channel structure can be exploited by mobile botnets. At last, we give the analysis of connectivity, security and robustness evaluation of our model

Technological innovation is vital for the survival and development of enterprises. In the era of intelligent information interconnection and knowledge-driven economy, there is a growing interest in how to manage high-volume data, unlock its potential value, and provide intelligent analysis and decision-making support for enterprise’s technological innovation. This paper proposes an improved knowledge association analysis method based on the semantic concept model. This approach enables the discovery of potential correlations and interaction modes between the influencing factors of enterprise’s technological innovation, and provides a useful reference for decision-making by combining the analysis with the enterprise’s own situation.

Recently, Numerous dynamic key management schemes have been proposed for WSN, and it has long-lived networks, more sustained security and survivability, such as SHELL and LCOK. But most of these schemes are greatly depend on some central nodes (gateways), if these nodes were compromised, there will be great threat to the whole networks security and survivability. In this paper, we proposed a Location-aware and secret share based dynamic key management scheme...

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