發(fā)布時間：2018-04-28 04:26

  本文選題：無線傳感網(wǎng)絡(luò) + 節(jié)點復(fù)制攻擊　； 參考：《清華大學(xué)學(xué)報(自然科學(xué)版)》2017年09期

【摘要】：在無線傳感網(wǎng)絡(luò)中,現(xiàn)有的節(jié)點復(fù)制攻擊檢測方法存在檢測率低、通信消耗高、存儲消耗高等問題。該文提出一種基于單證人節(jié)點的分布式節(jié)點復(fù)制攻擊檢測(singlewitness-based distributed detection,SWDD)方法。SWDD方法分為選擇證人節(jié)點、生成聲明信息、發(fā)送聲明信息、驗證證人節(jié)點和檢測復(fù)制節(jié)點5個步驟。SWDD方法中引入單證人節(jié)點選擇機制,采用隨機數(shù)作為位置聲明信息,利用多重映射機制進行證人節(jié)點驗證,并由最終證人節(jié)點完成對復(fù)制節(jié)點的檢測。在OMNeT++平臺上進行仿真實驗,結(jié)果表明:SWDD方法在檢測率、通信消耗和存儲消耗方面均優(yōu)于SDC(single deterministic cell)和P-MPC(parallel multiple probabilistic cells)方法。
[Abstract]:In wireless sensor networks, existing node replication attack detection methods have low detection rate, high communication consumption and high storage consumption. This paper proposes a distributed node replication attack detection (singlewitness-based distributed detection, SWDD) method based on single witness node (.SWDD), which is divided into the selection of the witness nodes and the generation of sound. Clear information, send declarative information, verify the 5 steps of witness node and detection replication node, introduce the single person node selection mechanism, use random number as position declaration information, use multiple mapping mechanism to verify the witness node, and complete the detection of the replication node by the final witness node. Imitated on the OMNeT++ platform. True experiments, the results show that the SWDD method is superior to SDC (single deterministic cell) and P-MPC (parallel multiple probabilistic cells) in detection rate, communication consumption and storage consumption.

【作者單位】： 北京理工大學(xué)軟件學(xué)院軟件安全工程技術(shù)北京市重點實驗室;中國信息通信研究院技術(shù)與標(biāo)準研究所互聯(lián)網(wǎng)中心;
【基金】：國家重點研發(fā)計劃項目(2016YFB0800700)
【分類號】：TN915.08;TP212.9
，

本文編號：1813755