加密MANET端到端流的推断与识别研究
가밀MANET단도단류적추단여식별연구
End-to-end traffic inference of encrypted MANET
  • 万方数据
    计算机应用研究 계산궤응용연구
    APPLICATION RESEARCH OF COMPUTERS
    2013年 10期 3079-3083 ,共5页

    常慧君%单洪%黄郡

    상혜군%단홍%황군

    端到端流识别%时序匹配%关联分析%流追踪 耑到耑流識彆%時序匹配%關聯分析%流追蹤
    단도단류식별%시서필배%관련분석%류추종
    end-to-end flow inference%time-sequence matching%correlation analysis%flow tracer 
    根据数据流的帧发送时序特性, 提出一种基于时序匹配和关联分析的端到端流推断算法。采用时序匹配、关联分析、流追踪与回溯等机制, 分析与追踪探测区域内的所有端到端流。该算法能够在无须解密报文的前提下进行流量分析, 推断出端到端流的源、目的节点、流路径、流开始时间和流持续时长等信息。仿真实验表明, 算法可以有效识别网络中的端到端流。
    근거수거류적정발송시서특성, 제출일충기우시서필배화관련분석적단도단류추단산법。채용시서필배、관련분석、류추종여회소등궤제, 분석여추종탐측구역내적소유단도단류。해산법능구재무수해밀보문적전제하진행류량분석, 추단출단도단류적원、목적절점、류로경、류개시시간화류지속시장등신식。방진실험표명, 산법가이유효식별망락중적단도단류。
    According to the characteristics of the frame sending time sequences, this paper proposed a time sequence matching and correlation analysis based end-to-end traffic analysis algorithm. Adopting time sequence matching, correlation analysis, and flow tracer to infer and trace all the end-to-end flows in the network, the algorithm could infer the traffic pattern without decrypting the frames. Simulation experiment results verify the effectiveness of the proposed method.
    원문보기 원문다운로드 사이트로이동
저자의 최근 논문