计算机工程
計算機工程
계산궤공정
COMPUTER ENGINEERING
2014年
9期
159-166
,共8页
时延容忍网络%黑洞节点%攻击特征%丢包率%递交率%递交时延
時延容忍網絡%黑洞節點%攻擊特徵%丟包率%遞交率%遞交時延
시연용인망락%흑동절점%공격특정%주포솔%체교솔%체교시연
Delay Tolerant Network( DTN)%blackhole node%attack feature%loss rate%delivery rate%delivery delay
物联网中的时延容忍网络( DTN)采用存储-搬运-转发的路由方式,节点之间的合作程度直接影响DTN网络的性能,而DTN节点的恶意行为严重影响了节点间的配合,其中黑洞攻击是典型的一种恶意行为。为有效检测和遏制节点的黑洞攻击,提出一种基于黑洞攻击特征的黑洞节点检测机制AFD-Prophet。该检测机制可提取出黑洞攻击的3个本质性特征:虚假的高转发能力,消息数目的不平衡性和高丢包率。在上述特征的基础上,采用本地投票和节点间联合检测方式确定某个节点为黑洞节点的概率。仿真实验结果表明,与基于信誉的检测机制T-Prophet相比,该检测机制在保证不增加递交时延的前提下,能有效提高消息的递交率。
物聯網中的時延容忍網絡( DTN)採用存儲-搬運-轉髮的路由方式,節點之間的閤作程度直接影響DTN網絡的性能,而DTN節點的噁意行為嚴重影響瞭節點間的配閤,其中黑洞攻擊是典型的一種噁意行為。為有效檢測和遏製節點的黑洞攻擊,提齣一種基于黑洞攻擊特徵的黑洞節點檢測機製AFD-Prophet。該檢測機製可提取齣黑洞攻擊的3箇本質性特徵:虛假的高轉髮能力,消息數目的不平衡性和高丟包率。在上述特徵的基礎上,採用本地投票和節點間聯閤檢測方式確定某箇節點為黑洞節點的概率。倣真實驗結果錶明,與基于信譽的檢測機製T-Prophet相比,該檢測機製在保證不增加遞交時延的前提下,能有效提高消息的遞交率。
물련망중적시연용인망락( DTN)채용존저-반운-전발적로유방식,절점지간적합작정도직접영향DTN망락적성능,이DTN절점적악의행위엄중영향료절점간적배합,기중흑동공격시전형적일충악의행위。위유효검측화알제절점적흑동공격,제출일충기우흑동공격특정적흑동절점검측궤제AFD-Prophet。해검측궤제가제취출흑동공격적3개본질성특정:허가적고전발능력,소식수목적불평형성화고주포솔。재상술특정적기출상,채용본지투표화절점간연합검측방식학정모개절점위흑동절점적개솔。방진실험결과표명,여기우신예적검측궤제T-Prophet상비,해검측궤제재보증불증가체교시연적전제하,능유효제고소식적체교솔。
The nodes in the delay tolerant networks rely on the cooperation among nodes to forward the messages to destinations. How to effectively enhance the cooperation among nodes in Delay Tolerant Network( DTN) is a challenge, and the Blackhole attack is a typical incorporation behavior. In order to detect and restrain the Blackhole attack, a Blackhole nodes detection mechanism based on attack features is proposed,which extracts three essential features of the Blackhole attack:the forged high relay capacity,the imbalance of the number of messages forwarded between nodes and high message loss rate. The mechanism exploits the local vote and the cooperative detection among nodes to determine the probability that a node is a blackhole node. Simulations results show that the blackhole nodes detection mechanism based on attack features named AFD-Prophet can improve the delivery rate while not increasing the delivery delay in comparison with the reputation-based detection protocol T-Prophet.