… We propose a statistical method for detecting a malicious message in invehicle networks.
Our payload-based method extracts features from a CAN message, which is originally …

… However, since the Controller Area Network (CAN), a common communication … of statistical
anomaly detection methods for identifying malicious CAN messages in in-vehicle networks. …

… , payload based, and hybrid. Finally, they discussed some of the research challenges and
gaps in in-vehicle … IDSs based on anomaly detection were further classified as statistical, ML, …

… Statistical features of the mean and standard deviation computed for messages within a …
), enabling the model to recognize payload-based masquerade attacks, such as abnormal …

… IDSs research, supported by statistical analysis of existing work. … : flow-based IDSs and
payload-based IDSs and then further … it requires only records of in-vehicle network traffic as input. …

… In the early research stages, statistical approaches and conventional machine-learning …
kits or use in-vehicle signals for specific purposes, such as building a payload-based IDS for …

… In contrast with the previous approaches using statistical anomaly detection techniques to …
in-vehicle networks. These methods are categorized into two groups: payload-based detection …

… detection are further subdivided into statistical, … A payload-based IDS monitors the payload
of the exchanged messages, whereas hybrid combines the two concepts. Payload-based are …

… Network (CAN) protocol, which is prevalent in in-vehicle … in this work: flow-based,
payloadbased, and hybrid. Finally, they … detection-based IDSs were further divided into statistical, …

… , raw payload, and timestamp statistics. These extracted features … for real-time intrusion
detection within in-vehicle traffic. The … However, when constructing a payload-based feature, it is …