CAJ | 학술논문

针对物联网网络安全，应用免疫危险理论原理，研究动态自适应算法，提出一种基于免疫危险理论的新型动态自适应算法。该算法能够动态调整机体内各个区域细胞器的数量，构建全方位的物联网网络层动态防御体系。算法分析表明该算法能够识别物联网网络层的危险信号，并对危险区域的范围大小、危险程度和危险频率进行计算，根据危险程度做出及时地响应，有效地保证物联网网络层的安全。
침대물련망망락안전，응용면역위험이론원리，연구동태자괄응산법，제출일충기우면역위험이론적신형동태자괄응산법。해산법능구동태조정궤체내각개구역세포기적수량，구건전방위적물련망망락층동태방어체계。산법분석표명해산법능구식별물련망망락층적위험신호，병대위험구역적범위대소、위험정도화위험빈솔진행계산，근거위험정도주출급시지향응，유효지보증물련망망락층적안전。
According to the principle of immune danger theory ,a new model of detector ’ s dynamic adaptive algorithm based on immune danger theory is proposed on the network security of Internet of Things after researched dynamic adaptive algo -rithm.In every area of the body ,the algorithm can dynamically change the number of cell organelles ,and build a compre-hensive dynamic defense system on network layer of IoT .Algorithm analysis shows that in the first place the algorithm can recognize danger signal of network layer of IoT whether it is known or unknown .Secondly ,it can calculate risk level of dan-ger signal.Finally according to the type of threat ,it can respond in time when the network is in danger .So it can keep net-work layer of IoT safe effectively .