Defending against distributed denial-of-service attacks with an auction-based method
Distributed denial of service DDoS is a major threat to the availability of Internet services. As one of the most difficult problems in network security, it has received considerable attention from the mass media and the research community. In this paper, we design an effective and practical countermeasure which allows a general-purpose TCP-based public server to sustain high availability even during severe DDoS attacks. A novel microeconomic framework based on Generalized Vickrey auction GVA is proposed. By adopting this mechanism, not only the availability of services is improved, but also the total utility of legitimate clients can be maximized. Initial simulations have shown that this mechanism is highly effective in preferentially dropping attacker traffic over legitimate client traffic, and the protected server can remain operational under various system loads and severely attacked conditions. The results indicate that it is a promising approach to countering DDoS attacks.

title: Intrusion detection system for high-speed network
abstract: The increasing network throughput challenges the current Network Intrusion Detection Systems (NIDS) to have compatible high-performance data processing. In this paper, we describe an in-depth research on the related techniques of high-performance network intrusion detection and an implementation of a Rule-based High-performance Network Intrusion Detection System (RHPNIDS) for high-speed networks. By integrating several performance optimizing methods, the performance of RHPNIDS is very impressive compared with the popular open source NIDS Snort.

title: Particle swarm optimization for function optimization in noisy environment
abstract: As a novel evolutionary searching technique, particle swarm optimization (PSO) has gained wide research and effective applications in the field of function optimization. However, to the best of our knowledge, most studies based on PSO are aimed at deterministic optimization problems. In this paper, the performance of PSO for function optimization in noisy environment is investigated, and an effective hybrid PSO approach named PSOOHT is proposed. In the PSOOHT, the population-based search mechanism of PSO is applied for well exploration and exploitation, and the optimal computing budget allocation (OCBA) technique is used to allocate limited sampling budgets to provide reliable evaluation and identification for good particles. Meanwhile, hypothesis test (HT) is also applied in the hybrid approach to reserve good particles and to maintain the diversity of the swarm as well. Numerical simulations based on several well-known function benchmarks with noise are carried out, and the effect of noise magnitude is also investigated as well. The results and comparisons demonstrate the superiority of PSOOHT in terms of searching quality and robustness.

title: A Bottom-up Distance-based index Tree for Metric Space
abstract: Similarity search is of importance in many new database applications. These operations can generally be referred as similarity search in metric space. In this paper, a new index construction algorithm is proposed for similarity search in metric space. The new data structure, called bu-tree (bottom-up tree), is based on constructing the index tree from bottom-up, rather than the traditional top-down approaches. The construction algorithm of bu-tree and the range search algorithm based on it are given in this paper. And the update to bu-tree is also discussed. The experiments show that bu-tree is better than sa-tree in search efficiency, especially when the objects are not uniform distributed or the query has low selectivity

title: Non-linear Correlation Techniques in Educational Data Mining
abstract: There is such an increasing interest in data mining and educational systems currently that has made educational data mining as a new growing research community. This paper explores how to develope new methods for discovering knowledge of data from educational context. The non-linear correlation technology was introduced and applied in the mining process in the whole knowledge achieved. Meanwhile, we have applied these methods in the real course management datasets and found correspondent results for the educators.

title: A Formal Specification for Web Services Composition and Verification
abstract: Due to the promising features of Web services, their deployment and research are booming. Among them, various techniques for Web service composition have been developed. In this paper, we propose a new composition framework. We use automata to describe behaviors of Web services. Each of underlying Web services can interact with others through asynchronous messages passing according to its interaction role (client or server). All these messages are recorded by a virtual global observer and the observation result is just the composition conversation of Web services. We also develop a formal a top-down verification mechanism on this framework and provide some realizable conditions for a successful composition

title: Web for data mining applications
abstract: The Web not only contains a huge amount of information, but also provides a powerful infrastructure for communication and information sharing. While mining for valuable information or resources from the Web is an active research area, the authors focus on discussing the use of the Web for data mining applications. In particular, they show that the Web can be used to facilitate delivery and interpretation of a set of discovered rules.