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With the development of wireless communication and artificial intelligence technology, online parking reservation system can effectively save drivers' searching time for vacant spaces. However, in the environment with multiple candidate parking lots around the destination, how to coordinate and maximize parking space resources to reduce the travel time is still a practical issue for urban drivers. In order to solve this problem, a collaborative reservation mechanism based on dynamic vehicle path planning is proposed in this paper. By the aid of the dedicated backbone network with a clear division of work responsibilities, the information of traffic and parking lots is collected in real time, based on which the travel time prediction and empty spaces evaluation are executed separately, and then the optimal decision of path planning and parking lot selection can be made and adjusted dynamically by a step-by-step acknowledgement mechanism. The simulation results show that, based on collaborative working and overall planning, our proposed reservation mechanism can effectively raise the utilization rate of the parking lots resources and significantly reduce the travel time for drivers under different traffic environments. Compared to current mechanisms, the collaborative parking reservation mechanism reveals higher feasibility and applicability. It can assist in design and operation of urban traffic management and space resource utilization., Author(s): Yuting Xiao [1]; Zhen Cai (corresponding author) [1,2]; Jinglei Li [1]; Mangui Liang [2]; Xiaoyu Long [3] 1. Introduction With the development of urbanization and the increase of population [...]

ABSTRACT This paper presents a secure and efficient hierarchical identity-based access authentication protocol for mobile network. First, a new mobile scheme is constructed to improve the registration performance by the port-based vector switching; especially when there are multihops and bandwidth between the user and home network, the registration delay is greatly reduced. Second, an access authentication protocol is proposed by combining the designed mobile proposal with hierarchical identity-based signature. It has the characteristics of identity based, local verification, concurrency and hierarchy. The whole authenticating process is divided into two phrases to precompute some time-consuming parameters, which are important to decrease the effects of the signing/verifying. Besides, a new access router selection algorithm is given for the mobile user to choose optimal access point in this paper. The theoretical analysis and simulating results show that the proposed authentication protocol outperforms the previous ones in terms of the handover delay integrating the authentication with its security enhanced. For example, the falling speed of the new protocol's total latency is reduced about 50% and 83%, respectively, compared with the existing identity-based-signature-based and Rivest-Shamir-Adleman-based schemes. Copyright © 2012 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]

ABSTRACT Intrusion detection has become an indispensable technique to ensure the security and reliability of information systems. Support vector machine (SVM) and its many improved algorithms have been successfully applied to intrusion detection systems in recent years. However, the training process of SVM ignores an important prior knowledge, the within-class structure in the training set. In this paper, we propose an improved classification algorithm, which combines minimum within-class scatter in Fisher discriminant analysis with traditional SVM. The central idea is to find an optimal separating hyperplane such that the margin is maximized, whereas the within-class scatter is kept as small as possible. This new algorithm is called SVM with minimum within-class scatter (WCS-SVM). A set of experiments is conducted on ten benchmarking datasets and KDDCUP'99 experimental data of MIT Lincoln Laboratory to test the generalization performance of the WCS-SVM algorithm. Experimental results show that the WCS-SVM algorithm has better discriminatory power than traditional SVM and kernel Fisher discriminant analysis and it has higher true detection rate and lower false positive rate for intrusion detection systems. Copyright © 2012 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]