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Category-Based Intrusion Detection Using PCA

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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POLYAMIDES WITH PENDANT 1,3,4-OXADIAZOLE AND PYRIDINE MOIETIES

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Chinese Journal of Polymer Science 2012年第1期30卷 112-121页

作者： Yagoub Mansoori Behzad Koohi-zargar Hemayat Shekaari Mohammad reza Zamanloo gholam Hassan Imanzadeh Department of Applied Chemistry College of Science University of Mohaghegh ArdabiliArdabil56199-11367Iran

A novel aromatic diamine,2-（5-（3,5-diaminophenyl）-l,3,4-oxadiazole-2-yl）pyridine（POBD）,containing a pyridine ring and a 1,3,4-oxadiazole moiety,was *** was used in a polycondensation with various aromatic and aliphatic diacid chlorides to generate a series of new aromatic polyamides with pendant 1,3,4-oxadiazole *** prepared polyamides were characterized by IR,elemental analysis and through the synthesis of model *** properties of the synthesized polyamides have been studied by DSC,TGA and inherent viscosity measurements. Relatively high inherent viscosity values（0.76-1.62 dL/g,in 0.125%H_2SO_4 at 25℃） were observed for these compounds. Number average molecular weight（M_n） of the polymers was measured by vapor phase osmometry（VPO）.The introduction of bulky side chains in the structure of aromatic polyamides led to increased solubility of these polymers in common polar and aprotic solvents,such as DMF,DMSO,NMP and DMAc,which allowed thin films to be cast from polymer solutions. The highest molecular weight（M_n = 51190） was observed for polymer（DC）,which was prepared from pyridine-2,6-dichlorocarbonyl.

关键词： Polyamide 1 3 4-Oxadiazole Inherent viscosity Vapor phase osmometry Polycondensation

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