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Track Paging an Optimal Method for Minimizing Paging and Signaling Cost in Mobile IP

Journal of Computer and Communications 2013年第4期1卷 6-12页

作者： tania baghaie Training Center of Applied Science and Technology Tehran Municipality Information and Communication Technology Organization Tehran Iran

Mobile IP is an Internet standards protocol, which enhances the existing Internet Protocol (IP) to accommodate mobility. In mobile IP protocol, to find the exact location of mobile node for transferring incoming packets to them has a lot of signaling cost. So increasing the performance and decreasing the signaling cost are challenges of this protocol. Using the paging mechanism, its operation is in such a way that it can reduce Relocation update cost and save on power consumption in a mobile node. In addition, it can improve the performance of network by decreasing the need to register an idle mobile node. Mobile IP, currently does not support paging. Therefore, after introducing the mobile IP protocol and reporting related works, this paper will try to introduce a way to add paging support to the Mobile IP. Track paging is proposed to reduce the number of registration message of an idle mobile node to the mobile node’s home agent by waiving broad casting method and paging area size. Analytical results show that Track paging can significantly improve the total signaling cost of MIP vs. previous methods. Results also show that specifying the optimal paging area is critical in saving signaling cost of a MIP with paging support.

关键词： Mobile Node Paging Registration Home Agent Foreign Agent Binding

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Category-Based Intrusion Detection Using PCA

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Journal of Information Security 2012年第4期3卷 259-271页

作者： Gholam Reza Zargar tania baghaie GIS Department Khuzestan Electrical Power Distributed Company Ahvaz Iran Training Center of Applied Science and Technology Tehran Municipality Information and Communication Technology Organization Tehran Iran

Existing Intrusion Detection Systems (IDS) examine all the network features to detect intrusion or misuse patterns. In feature-based intrusion detection, some selected features may found to be redundant, useless or less important than the rest. This paper proposes a category-based selection of effective parameters for intrusion detection using Principal Components Analysis (PCA). In this paper, 32 basic features from TCP/IP header, and 116 derived features from TCP dump are selected in a network traffic dataset. Attacks are categorized in four groups, Denial of Service (DoS), Remote to User attack (R2L), Remote to User attack (U2R) and Probing attack. TCP dump from DARPA 1998 dataset is used in the experiments as the selected dataset. PCA method is used to determine an optimal feature set to make the detection process faster. Experimental results show that feature reduction can improve detection rate for the category-based detection approach while maintaining the detection accuracy within an acceptable range. In this paper KNN classification method is used for the classification of the attacks. Experimental results show that feature reduction will significantly speed up the train and the testing periods for identification of the intrusion attempts.

关键词： Intrusion Detection Principal Components Analysis Data Dimension Reduction Feature Selection Classification

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Category-Based Intrusion Detection Using PCA

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Journal of Information Security（信息安全） 2012年第4期

作者： Gholam Reza Zargar tania baghaie

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