By Yujing Liu, Bin Dai, Peidong Zhu, Jinshu Su (auth.), James J. Park, Laurence T. Yang, Changhoon Lee (eds.)
This two-volume-set constitutes the refereed court cases of the sixth foreign convention on destiny info know-how, FutureTech 2011, held in Crete, Greece, in June 2011. The 123 revised complete papers offered in either volumes have been rigorously reviewed and chosen from various submissions. The papers are prepared in topical sections on destiny info expertise, IT carrier and cloud computing; social computing, community, and prone; forensics for destiny iteration verbal exchange environments; clever transportation structures and purposes; multimedia and semantic applied sciences; details technological know-how and technology.
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Extra info for Future Information Technology: 6th International Conference, FutureTech 2011, Loutraki, Greece, June 28-30, 2011, Proceedings, Part I
Another observation, relevant to the scope and results of this paper, is that any individual IT is embedded in a complex technological, economic and social system in such a way that its evolution cannot be explained without investigating this system in a holistic way. This touches upon as well an important class of applications, the decision support systems (DSS), which has been the subject of prospective studies presented in this paper. This is why, despite the scarcity of published research results on the future trends of DSS, (cf.
3 Future Intelligent DSS and Their Applications The new approaches outlined above have made it possible to elicit trends and build technological scenarios concerning the decision support systems and to visualise their evolution. In particular, we have identified the key development topics of expert systems/DSS , listed according to the relevance scores (first best) as follows: • recommenders for e-commerce (excluding banking and finance) o graphical (content-based) recommenders for multimedia o graphical (content-based) recommenders for 3D-e-commerce o recommenders able to judge on product portfolios (constrained by its value) • recommenders for security and commodity trading • intelligent intermediary agents for negotiations, partner matching, collaboration.
In this paper, we introduce efficient botnet detection methods utilizing Honeynets with different multiple channel sources based on behavioral analysis that does not rely on protocols. J. T. Yang, and C. ): FutureTech 2011, Part I, CCIS 184, pp. 29–36, 2011. H. K. Kim 2 Related Work IRC botnet detection methods are suggested and studied in many different ways. Recently, Peer to Peer (P2P) botnets have appeared and an advanced hybrid P2P botnet has been studied . This approach would be good if the bot masters or botnet programmers followed the previous type of communications or propagation techniques.