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Traceback System of Malicious Accesses of the Internet based on Similarity of Communication Data

Traceback System of Malicious Accesses of the Internet based on Similarity of Communication Data
基于通信数据相似性的互联网恶意访问追溯系统
批准号:
18300017
负责人:
NEMOTO Yoshiaki
金额:
$4.43万
依托单位:
依托单位国家:
日本
项目类别:
Grant-in-Aid for Scientific Research (B)
财政年份:
2006
资助国家:
日本
项目状态:
已结题
起止时间:
2006 至 2007

项目摘要

项目成果

NEMOTO Yoshiaki的其他基金

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中文摘要
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英文摘要
We developed a traceback system of malicious accesses of the Internet base on the similarity of communication data of network flows. In order to protect privacy of communication, we proposed a new modeling method to evaluate the similarity of communication data. Our proposed modeling method express a network flow, which is a TCP connection, with a 256-dimensional vector which consists of the occurrence probabilities of 8-bit codes. Since this modeling method id irreversible data translation, the privacy of communication data can ne protected. By using this modeling, we can evaluate the similarities of communication flows. If we have a 256-dimensioncal vector extracted from a network worm flow, we can detect the same kind of worm flow by evaluating the similarity between the vector and vector of newly observed flow because the vector of a same kind of network worm is very similar each other. Consequently, we developed a high accurate modeling method to identify flows which have similar … More contents.We also developed a distributed worm detection system which can detect network worms of which the detection signatures have not generated. The proposed detection system has Global Detector and Local Detectors. If multiple similar flows are observed at a Local Detector in a short term, the Local Detector judges that this emergence of similar flows can be occurred by network worm activities, and send the mean 256-dimensional vector of the similar flows to the Global Detector. In order to detect malicious accesses occurrence, Global Detector evaluate the similarity among the vectors sent from the Local Detectors. If the manner, our proposed detection system can detect malicious network activities without signatures made in advance.Based on the similarities of vectors, a new traceback system which can discover the point of release of a new malicious access have been proposed. To find the point of release of a malicious access, the traceback system keeps three elements: detection time when a malicious flow was observed, src IP of the flow and the 256-dimensional vector of the flow. By communicating the three elements and evaluating the similarity, the traceback system can find the point of release of the malicious flow. Less
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会议论文
An Efficient Signature-Based Approach for Automatic Detection of Internet Worms over Large-Scale Networks
一种有效的基于签名的方法,用于自动检测大规模网络上的网络蠕虫
DOI: --
发表时间: 2006
期刊: Proc. of IEEE Int. Conf. Commun. (CDROM)
影响因子: --
作者: [K.Simkhada, T.Taleb, Y.Waizumi, A.Jamalipour, N.Kato, Y.Nemoto]
通讯作者: Y.Nemoto
DOI: --
发表时间: 2007
期刊:
影响因子: --
作者: [S. Yagi, Y. Waizumi, H. Tsunoda, Y. Nemoto]
通讯作者: Y. Nemoto
帯域利用状態に着目したパルス型DoS検知の誤検知と観測コストの低減
减少脉冲 DoS 检测中的误报和观察成本,重点关注带宽使用状态
DOI: --
发表时间: 2006
期刊:
影响因子: --
作者: [荒井健二郎, 角田裕, 和泉勇治, 根元義章]
通讯作者: 根元義章
Network Application Identification using Transition Pattern of Packets
使用数据包转换模式进行网络应用识别
DOI: --
发表时间: 2006
期刊:
影响因子: --
作者: [Y. Waizumi, Y. Nemoto]
通讯作者: Y. Nemoto
57
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    • 批准号:
      20300023
    • 项目类别:
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    • 资助金额:
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    • 财政年份:
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    • 批准号:
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    • 项目类别:
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    • 资助金额:
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      2000
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    • 批准号:
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    • 项目类别:
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    • 资助金额:
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