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In an effort to analyze and solve evaluation of intrusion detection system, evaluation methods such as ROC curve, the Bayesian Detection Rate, the Expected Cost and the Intrusion Detection Capability had been established. The evaluation methods which only involved few evaluation metrics (such as false positive rate, false negative rate) had their own weaknesses, because the complexity of intrusion detection system is the main cause and evaluation of intrusion detection system must involve many performance indexes. In order to achieve the purpose of intrusion detection systems for comprehensive evaluation, this paper gives a method of entropy weight coefficient that is applied to calculate the weight of factors and decrease subjective judgment on the effect of the weight coefficient. Intrusion detection systems are evaluated objectively and comprehensively by the method of entropy weight coefficient.

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With the widespread use of fog-to-cloud computing–based Internet of things devices, how to ensure the integrity of the data uploaded to the cloud has become one of the most important security issues. This article proposes an efficient and secure data auditing scheme based on fog-to-cloud computing for Internet of things scenarios, which can better meet performance and security requirements. The proposed scheme realizes data sharing under the condition of protecting privacy by encrypting sensitive information. Using the private key separation method, the private key is divided into two parts using identity information generation and random selection which are, respectively, held by the user and the fog center. Then, using the two-time signature method, the Internet of things and fog computing center use two parts of the private key to generate the original signature and final signature in two separate times. Since the fog computing center only has a part of the private key generated using the identity information, the security of the system will not be damaged due to the leakage of part of the private key held by the fog center, and the fog center significantly participates in the signature generation process, which significantly reduces the computation and communication overhead of the Internet of things device. Security analysis and performance evaluation show that the proposed scheme is safe and efficient.

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