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Author: Sun Dapeng
Abstract: Fuzzy C-means clustering algorithm is sensitive to its initialization of value,and its objective function is non-convex,easy to fall into local minimum points,while can＇t get the optimal solution.Combined with global fast-search capability of the particle...
Abstract: Fuzzy C-means clustering algorithm is sensitive to its initialization of value,and its objective function is non-convex,easy to fall into local minimum points,while can＇t get the optimal solution.Combined with global fast-search capability of the particle...
Author: CHEN Jun XU Lei
Abstract: Focus on the problem that some data is divided into improper cluster in ant clustering algorithm, an improved ant clustering algorithm is proposed. The algorithm adjusts clusters acquired from known ant colony clustering algorithm and thus gets more preci...
Abstract: Focus on the problem that some data is divided into improper cluster in ant clustering algorithm, an improved ant clustering algorithm is proposed. The algorithm adjusts clusters acquired from known ant colony clustering algorithm and thus gets more preci...
Author: FENG Jian - li GONG Chang - qi
Abstract: The neural network technology obtained the widespread application in the intrusion what most has represents is the BP neural network, but the local minimum nature of itself has limited the detection performance enhancement. In order to solve the problem o...
Abstract: The neural network technology obtained the widespread application in the intrusion what most has represents is the BP neural network, but the local minimum nature of itself has limited the detection performance enhancement. In order to solve the problem o...
Author: WANG Zhuo,FAN Jiu-lun,LIU Jian
Abstract: Considering the drawbacks existed in the algorithms based on attribute differences to aggregate intrusion detection alert, an improved algorithm is proposed.The proposed algorithm has the advantages of simplicity and intuition.Experiment results on the DA...
Abstract: Considering the drawbacks existed in the algorithms based on attribute differences to aggregate intrusion detection alert, an improved algorithm is proposed.The proposed algorithm has the advantages of simplicity and intuition.Experiment results on the DA...
Author: WANG Yah-pin
Abstract: For high omission rate and false alarm rate in intrusion detection system,this paper proposed a tabu-based genetic neural network intrusion detection model. The model was based on genetic tabu algorithm of global search and BP global network of local sear...
Abstract: For high omission rate and false alarm rate in intrusion detection system,this paper proposed a tabu-based genetic neural network intrusion detection model. The model was based on genetic tabu algorithm of global search and BP global network of local sear...
Author: LIU Shuai, ZHANG Xing
Abstract: To reduce the high false positive rate and false negative rate of intrusion detection systems, this paper proposed an novel intrusion detection system（ IDS） based on immunity. Presented the methods to reduce the false positive rate after analyzing credita...
Abstract: To reduce the high false positive rate and false negative rate of intrusion detection systems, this paper proposed an novel intrusion detection system（ IDS） based on immunity. Presented the methods to reduce the false positive rate after analyzing credita...
Author: ZHENG Hong-ying, HOU Mei-ju, W
Abstract: It is necessary to analyze feature of input data before intrusion detection. This paper uses Particle Swarm Optimization（PSO） algorithm to select feature, eliminate the redundancy property, reduce the problem size, improve the quality of data classificati...
Abstract: It is necessary to analyze feature of input data before intrusion detection. This paper uses Particle Swarm Optimization（PSO） algorithm to select feature, eliminate the redundancy property, reduce the problem size, improve the quality of data classificati...
Author: SU Jie, QIAO Pei-li, LIU Ya-hu
Abstract: This paper proposes a distributed intrusion detection method based on immune evolution computing in grid computing environments. Immune evolution computing and method of generating detector and gene base are used to improve initiative and self-adaptive of...
Abstract: This paper proposes a distributed intrusion detection method based on immune evolution computing in grid computing environments. Immune evolution computing and method of generating detector and gene base are used to improve initiative and self-adaptive of...
Author: LOU Run-yu , WANG Bei-zhan, WA
Abstract: In order to defend the attacks caused by DDOS and worms （or vicious codes） in large scale network, a general, solid,indepth and distributed active cooperation defense model is presented. A set of achievable methods ranging from systemic architecture, func...
Abstract: In order to defend the attacks caused by DDOS and worms （or vicious codes） in large scale network, a general, solid,indepth and distributed active cooperation defense model is presented. A set of achievable methods ranging from systemic architecture, func...
Author: LI Jun-ying, HUANG Han-yong
Abstract: Pattern matching algorithm is the core of the rule based intrusion detection system （IDS）. Based on the study of BM Pattern matching algorithm, an improved algorithm is proposed. It can improve the match speed and the efficiency of the intrusion detection...
Abstract: Pattern matching algorithm is the core of the rule based intrusion detection system （IDS）. Based on the study of BM Pattern matching algorithm, an improved algorithm is proposed. It can improve the match speed and the efficiency of the intrusion detection...
Author: JIANG Qing-feng,LI Zi,CHENG Xi
Abstract: K-Means clustering algorithm is used to divide the data into classes, the data of one class have high similarity and the data between different class are quite different.K-Means clustering algorithm has been widely applied in the fields of network intrusi...
Abstract: K-Means clustering algorithm is used to divide the data into classes, the data of one class have high similarity and the data between different class are quite different.K-Means clustering algorithm has been widely applied in the fields of network intrusi...
Author: SHEN Xiao-ting,DONG Yun-yao
Abstract: To detect abnormal behavior of a program via monitoring system call sequence that the program made during its running is an efficient technology in network intrusion detection.Aiming at Internet server programs normal running case,its normal behavior mann...
Abstract: To detect abnormal behavior of a program via monitoring system call sequence that the program made during its running is an efficient technology in network intrusion detection.Aiming at Internet server programs normal running case,its normal behavior mann...
Author: XU Ming, FANG Xian-jin, HUANG
Abstract: The protection mechanism of natural immune system brings us great inspiration for the design of computer intrusion detection, and it supports an information security technology which can solve complex intrusion problem. This paper offers a new abnormal in...
Abstract: The protection mechanism of natural immune system brings us great inspiration for the design of computer intrusion detection, and it supports an information security technology which can solve complex intrusion problem. This paper offers a new abnormal in...
Author: SUN Guo-zi,YU Chao,CHEN Dan-we
Abstract: In view of the situation that content of the theory is difficult to understand and accept in the process of teaching professional lesson,an intrusion detection experiment system is implemented,which is realized in two kinds of intrusion detection,such as ...
Abstract: In view of the situation that content of the theory is difficult to understand and accept in the process of teaching professional lesson,an intrusion detection experiment system is implemented,which is realized in two kinds of intrusion detection,such as ...
Author: ZHOU Yu
Abstract: Buffer overflow is one of the most threats to the system security, and a strong emphasis has been laid on the research of detection method. Call-Stack Integrity （CSI） based detection method is different from any existing detection technology. CSI performs...
Abstract: Buffer overflow is one of the most threats to the system security, and a strong emphasis has been laid on the research of detection method. Call-Stack Integrity （CSI） based detection method is different from any existing detection technology. CSI performs...
Author: MA Wu,CHEN Bo,PAN Cheng-sheng
Abstract: With the rapid development of high-speed network,how to capture the unusual characteristics of the attack quickly and effectively in high-speed network has become an important problem of the IDS.Using the character of principal component analysis of the v...
Abstract: With the rapid development of high-speed network,how to capture the unusual characteristics of the attack quickly and effectively in high-speed network has become an important problem of the IDS.Using the character of principal component analysis of the v...
Author: HUA De-mei, YE Zhen
Abstract: Aiming at the high rate of false alarm in anomalous intrusion detection, this paper puts forward an intrusion detection model based on RBF neuron network of improved genetic algorithm（GA）. In this model, clustering rule set is established through data min...
Abstract: Aiming at the high rate of false alarm in anomalous intrusion detection, this paper puts forward an intrusion detection model based on RBF neuron network of improved genetic algorithm（GA）. In this model, clustering rule set is established through data min...
Author: DUAN Xue-tao, JIA Chun-fu , LI
Abstract: The defects of intrusion detection using fixed-length short system call sequences were analyzed. A method of extracting variable-length short system call sequences, grounded on the function return addresses stored in the process stacks, was proposed. Base...
Abstract: The defects of intrusion detection using fixed-length short system call sequences were analyzed. A method of extracting variable-length short system call sequences, grounded on the function return addresses stored in the process stacks, was proposed. Base...
Author: YANG Xiao-feng, SUN Ming-ming,
Abstract: An improved HMM model based method for detecting cyber attacks was proposed. Normal network behaviors followed a regular grammar, while anomalies deviated the normal grammar. Grammar model represented by HMM model trained with normal network behavior samp...
Abstract: An improved HMM model based method for detecting cyber attacks was proposed. Normal network behaviors followed a regular grammar, while anomalies deviated the normal grammar. Grammar model represented by HMM model trained with normal network behavior samp...
Author: LI Hua-Ping
Abstract: With the development ofAd hoc network, the security of wireless network becomes more important As one of wireless mobile network, mobile Ad hoc network has new vulnerabilities that does not exist in a fixed wired network, and is susceptible to attacks.Thi...
Abstract: With the development ofAd hoc network, the security of wireless network becomes more important As one of wireless mobile network, mobile Ad hoc network has new vulnerabilities that does not exist in a fixed wired network, and is susceptible to attacks.Thi...
Author: ZHU Qi,SONG Ru-shun,YAO Yong-x
Abstract: Due to many critical wireless sensor networks require an efficient,lightweight and flexible intrusion detection algorithm to identify malicious attackers,this paper proposed SVM-based cooperation intrusion detection scheme.The scheme has a good expansibil...
Abstract: Due to many critical wireless sensor networks require an efficient,lightweight and flexible intrusion detection algorithm to identify malicious attackers,this paper proposed SVM-based cooperation intrusion detection scheme.The scheme has a good expansibil...
Author: LI Tao
Abstract: To increase the security of database system, with the two improved algorithms, a self-adaptive model of database intrusion detection system is designed.According to the limitation of producing misuse detection rules, the mid-results of the improved Aprior...
Abstract: To increase the security of database system, with the two improved algorithms, a self-adaptive model of database intrusion detection system is designed.According to the limitation of producing misuse detection rules, the mid-results of the improved Aprior...