Abstract: The disclosure discloses a method for detecting an intrusion in parallel based on an unbalanced data Deep Belief Network, which reads an unbalanced data set DS; under-samples the unbalanced data set using the improved NCR algorithm to reduce the ratio of the majority type samples and make the data distribution of the data set balanced; the improved differential evolution algorithm is used on the distributed memory computing platform Spark to optimize the parameters of the deep belief network model to obtain the optimal model parameters; extract the feature of data of the data set, and then classify the intrusion detection by the weighted nuclear extreme learning machine, and finally train multiple weighted nuclear extreme learning machines of different structures in parallel by multithreading as the base classifier, and establish a multi-classifier intrusion detection model based on adaptive weighted voting for detecting the intrusion in parallel.

Abstract: The disclosure discloses a method for detecting an intrusion in parallel based on an unbalanced data Deep Belief Network, which reads an unbalanced data set DS; under-samples the unbalanced data set using the improved NCR algorithm to reduce the ratio of the majority type samples and make the data distribution of the data set balanced; the improved differential evolution algorithm is used on the distributed memory computing platform Spark to optimize the parameters of the deep belief network model to obtain the optimal model parameters; extract the feature of data of the data set, and then classify the intrusion detection by the weighted nuclear extreme learning machine, and finally train multiple weighted nuclear extreme learning machines of different structures in parallel by multithreading as the base classifier, and establish a multi-classifier intrusion detection model based on adaptive weighted voting for detecting the intrusion in parallel.

Abstract: A method for protecting Register Transfer Level (RTL) Intellectual Property (IP) core is provided, which converts an original RTL IP core to a target RTL IP core embedded with protection measures. The method includes: Step S1, constructing a state machine whose mode is controllable against the original RTL IP core, the state machine has a normal mode appeared corresponding to the normal function of the IP core after the entry of a correct preset secret key value and a fuzzy mode appeared corresponding to the abnormal function of the IP core after the entry of wrong secret key value; Step S2, revise the data flow of the RTL code in the original RTL IP core to obtain the fuzzy RTL code of the IP core; and Step S3: combine the state machine and the fuzzy RTL code into the targeted RTL IP core. By combining the secret key control and fuzzy data flow, the being embezzled and reverse-engineered of RTL IP core can be effectively prevented.