1ICIF’2007简介
由国际信息融合协会（ISIF，International Society of Information Fusion）和西安交通大学联合主办的2007年国际信息融合会议（ICIF’2007）暨“多源信息融合理论”大讲堂于2007年8月22日至28日在西安交大南洋大酒...1ICIF’2007简介
由国际信息融合协会（ISIF，International Society of Information Fusion）和西安交通大学联合主办的2007年国际信息融合会议（ICIF’2007）暨“多源信息融合理论”大讲堂于2007年8月22日至28日在西安交大南洋大酒店召开。这是首次在我国召开的国际信息融合会议（ICIF2007），这次国际信息融合会议吸引了众多的信息融合方向的学者，其中不少学者都是国际信息融合界的大师，他们是：X．Rong Li教授、Nageswara S．Rao博士、Rick S．Blum教授、展开更多
Towards the problems of existing detection methods,a novel real-time detection method(DMFIF) based on fractal and information fusion is proposed.It focuses on the intrinsic macroscopic characteristics of network,which...Towards the problems of existing detection methods,a novel real-time detection method(DMFIF) based on fractal and information fusion is proposed.It focuses on the intrinsic macroscopic characteristics of network,which reflect not the "unique" abnormalities of P2P botnets but the "common" abnormalities of them.It regards network traffic as the signal,and synthetically considers the macroscopic characteristics of network under different time scales with the fractal theory,including the self-similarity and the local singularity,which don't vary with the topology structures,the protocols and the attack types of P2P botnet.At first detect traffic abnormalities of the above characteristics with the nonparametric CUSUM algorithm,and achieve the final result by fusing the above detection results with the Dempster-Shafer evidence theory.Moreover,the side effect on detecting P2P botnet which web applications generated is considered.The experiments show that DMFIF can detect P2P botnet with a higher degree of precision.展开更多
文摘1ICIF’2007简介
由国际信息融合协会（ISIF，International Society of Information Fusion）和西安交通大学联合主办的2007年国际信息融合会议（ICIF’2007）暨“多源信息融合理论”大讲堂于2007年8月22日至28日在西安交大南洋大酒店召开。这是首次在我国召开的国际信息融合会议（ICIF2007），这次国际信息融合会议吸引了众多的信息融合方向的学者，其中不少学者都是国际信息融合界的大师，他们是：X．Rong Li教授、Nageswara S．Rao博士、Rick S．Blum教授、
基金supported by National High Technical Research and Development Program of China(863 Program)under Grant No.2011AA7031024GNational Natural Science Foundation of China under Grant No.90204014
文摘Towards the problems of existing detection methods,a novel real-time detection method(DMFIF) based on fractal and information fusion is proposed.It focuses on the intrinsic macroscopic characteristics of network,which reflect not the "unique" abnormalities of P2P botnets but the "common" abnormalities of them.It regards network traffic as the signal,and synthetically considers the macroscopic characteristics of network under different time scales with the fractal theory,including the self-similarity and the local singularity,which don't vary with the topology structures,the protocols and the attack types of P2P botnet.At first detect traffic abnormalities of the above characteristics with the nonparametric CUSUM algorithm,and achieve the final result by fusing the above detection results with the Dempster-Shafer evidence theory.Moreover,the side effect on detecting P2P botnet which web applications generated is considered.The experiments show that DMFIF can detect P2P botnet with a higher degree of precision.
