通信技术
通信技術
통신기술
COMMUNICATIONS TECHNOLOGY
2013年
4期
22-27
,共6页
认知无线电网络%频谱感知%通信性能%次用户%仿冒主用户
認知無線電網絡%頻譜感知%通信性能%次用戶%倣冒主用戶
인지무선전망락%빈보감지%통신성능%차용호%방모주용호
CRN (Cognition Radio Networks)%spectrum sensing%communication performance%secondary user%primary user emulation
随着认知无线电网络(CRN)技术的不断发展,安全问题日益受到重视.模仿主用户(PUE)是一种典型的易于实现且对 CRN 影响巨大的攻击行为,根据产生原因、目的和过程的差异,可以分为恶意不端次用户PUE和自私不端次用户PUE两类攻击.已有文献大多针对前者进行了分析,而对后者分析极少.这里重点对两者进行了区分,提出了四维连续时间马尔科夫链分析模型,详细分析了自私不端次用户 PUE攻击对正常次用户通信性能的影响,并对比了几类典型的PUE攻击检测技术.通过仿真结果可以看出:PUE攻击检测技术引入自私不端次用户检测机制极为必要,可以有效改进检测效果.
隨著認知無線電網絡(CRN)技術的不斷髮展,安全問題日益受到重視.模倣主用戶(PUE)是一種典型的易于實現且對 CRN 影響巨大的攻擊行為,根據產生原因、目的和過程的差異,可以分為噁意不耑次用戶PUE和自私不耑次用戶PUE兩類攻擊.已有文獻大多針對前者進行瞭分析,而對後者分析極少.這裏重點對兩者進行瞭區分,提齣瞭四維連續時間馬爾科伕鏈分析模型,詳細分析瞭自私不耑次用戶 PUE攻擊對正常次用戶通信性能的影響,併對比瞭幾類典型的PUE攻擊檢測技術.通過倣真結果可以看齣:PUE攻擊檢測技術引入自私不耑次用戶檢測機製極為必要,可以有效改進檢測效果.
수착인지무선전망락(CRN)기술적불단발전,안전문제일익수도중시.모방주용호(PUE)시일충전형적역우실현차대 CRN 영향거대적공격행위,근거산생원인、목적화과정적차이,가이분위악의불단차용호PUE화자사불단차용호PUE량류공격.이유문헌대다침대전자진행료분석,이대후자분석겁소.저리중점대량자진행료구분,제출료사유련속시간마이과부련분석모형,상세분석료자사불단차용호 PUE공격대정상차용호통신성능적영향,병대비료궤류전형적PUE공격검측기술.통과방진결과가이간출:PUE공격검측기술인입자사불단차용호검측궤제겁위필요,가이유효개진검측효과.
@@@@CRN (Cognitive Radio Network), as an effective technology and a hot research topic, could solve the problem of resource deficiency and improve resource utilization. And its security technology attracts more and more attention from the researchers. PUE (Primary user emulation) is a typical attack of easy implementation and significant influence to CRN. PUE attack could be classified as MMU (malicious misbehavior secondary users) attack and SMU (selfish misbehavior secondary users) attack, and more study is focused on the former while less on the latter. This paper discusses in detail the distinction of MMU and SMU, and proposes an analysis model of 4D continuous time Markov chain for analyzing the communication performance of normal secondary users under PUE attack by SMUs. In addition, several PUE detection technologies are also compared. Simulation results indicate that the SMU detection mechanism is essential for the PUE attack detection technology, and this mechanism could greatly improve the detection effectiveness.