基于人工智能的物联网软件攻击自动防御仿真

Automatic Defense Simulation of Internet of Things Software Attack Based on Artificial Intelligence

提出基于人工智能的物联网攻击自动防御仿真方法,防御物联网软件恶意攻击行为,保障物联网安全稳定运行。建立人工智能物联网软件攻击自动防御方案,将网络数据流量同时传输给物联网与人工智能学习模块,通过物联网网络协议模块常规处理网络数据流量,经人工智能学习模块的SMNA-CUSUM算法检测异常数据流量后,将检测出的网络异常数据流量由Openflow网络协议流表下发模块转化成网络协议流表并发送给Openflow网络协议交换机,防御软件恶意攻击,输出安全数据。实验结果表明:上述方法可实现对物联网软件攻击行为的检测,过滤异常数据流量,有效防御物联网软件恶意攻击行为,防御后短时间内网络就可恢复平稳运行状态,可更好满足实际工作需要。

An automatic defense simulation method of Internet of things attack based on artificial intelligence is proposed to prevent malicious attacks on Internet of things software and ensure the safe and stable operation of the Internet of things. An automatic defense scheme is established for AI Internet of things software attacks, the network data flow is transmitted to the Internet of things and AI learning module at the same time. The Internet of things network protocol module is used to process the network data flow. After the SMNA-CUSUM algorithm of AI learning module detects the abnormal data flow, The detected network abnormal data flow is transformed into a network protocol flow table by the Openflow network protocol flow table distribution module and sent to the Openflow network protocol switch to prevent software malicious attacks and output security data. The experimental results show that this method can detect the attack behavior of Internet of things software, filter abnormal data traffic, and effectively prevent the malicious attack behavior of Internet of things software. After the defense, the network can return to a stable operation state in a short time, which can better meet the needs of practical work.