嵌入式处理器的片上硬件免疫系统所使用的人工免疫算法直接决定了处理器的安

The artificial immune algorithm used by the on-chip hardware immune system of the embedded processor directly determines the security performance of the processor and determines the extent to which the embedded system can resist attacks from unknown malware. An intrusion detection system based on the artificial immune theory It can detect intrusion activities by analyzing system security-related data, detect known and unknown types of intrusion, and respond as needed. However, this type of detection system is mostly based on general-purpose processors, which has a large amount of calculation and low operating efficiency. , Poor applicability, low detection speed, poor real-time performance, etc., so we must improve the traditional artificial immune algorithm, while improving the performance of the algorithm, taking into account the feasibility of the algorithm in hardware implementation.

The artificial immune algorithm used by the hardware immune system on the chip of the embedded processor directly determines the security performance of the processor, determines the degree to which the embedded system can resist attacks from unknown malware, and the intrusion detection system based on artificial immune theory can detect intrusion activity by analyzing the relevant data of the system security, detect the intrusion of known types and unknown types, and respond according to the needs, but most of these detection systems are based on the general-purpose processor, the computational volume is large, the operation efficiency is low, Poor applicability, low detection speed, poor real-time, so we must improve the traditional artificial immune algorithm, while improving the performance of the algorithm while taking into account the feasibility of the algorithm in hardware implementation.

The artificial immune algorithm used by the hardware on chip immune system of embedded processor directly determines the security performance of the processor, and determines the degree to which the embedded system can resist the attack from unknown malware. The intrusion detection system based on artificial immune theory can detect intrusion activities by analyzing the system security related data, and detect known and unknown types But this kind of detection system is based on general-purpose processor, which has many problems, such as large amount of calculation, low efficiency, poor applicability, low detection speed, poor real-time performance and so on. So we must improve the traditional artificial immune algorithm, and consider the feasibility of the algorithm in hardware implementation while improving the performance of the algorithm.<br>