Industrial Internet of Things (IIoT) is becoming an attack target of advanced persistent threat (APT). Currently, IIoT logs have not been effectively used for anomaly detection. In this paper, we use blockchain to prevent logs from being tampered with and propose a pvalue-guided anomaly detection approach. This approach uses statistical pvalues to combine multiple heterogeneous log parser algorithms. The weighted edit distance is selected as a score function to calculate the nonconformity score between a log and a predefined event. The pvalue is calculated based on the non-conformity scores which indicate how well a log matches an event. This approach is tested on a large number of real-world HDFS logs and IIoT logs. The experiment results show that abnormal events could be effectively recognized by our pvalue-guided approach.
@cite_4: Blockchain, which is a new technology of distributed data storage in the form of a chain of blocks, has become one of the most popular topics in the field of information technology for today. Although the term “blockchain” is often associated with operations in cryptocurrencies (Bitcoin, for example), its application is not limited to this area. The algorithm for automatic confirmation of transactions has already been successfully applied in accounting, postal services, and smart devices. Additionally, people can participate in the confirmation of transactions. This article considers the possibility of using the technology in creating distributed networks of industrial equipment, i.e. creation of a backbone network for cyber-physical production systems. The proposed approach is detailed and discussed with the support of relevant use cases. A number of architectures of support networks based on blockchain technology are proposed, the positive and negative aspects of this approach are considered.
. Recently, blockchain has attracted attentions for its accomplishment in cryptocurrencies and distributed applications. There are many studies on the combination of blockchain and IoT to provide a reliable solution in IIoT systems. In @cite_4 , the researchers use smart contracts in an industrial production audit system. As consortium blockchain uses many security mechanisms such as identity and member service provide, it can be used for secure energy trading in industrial internet of things.