A novel anomaly detection approach to identify intentional AIS on-off switching
作者：
Highlights：
• An anomaly detection algorithm to identify AIS on-off switching is proposed.
• The algorithm exploits the AIS message Received Signal Strength Indicator.
• Machine Learning algorithms are used to build normality models.
• AIS reception is characterized by using real word data.
• The methodology is scalable from one station to a network of receivers.
摘要
•An anomaly detection algorithm to identify AIS on-off switching is proposed.•The algorithm exploits the AIS message Received Signal Strength Indicator.•Machine Learning algorithms are used to build normality models.•AIS reception is characterized by using real word data.•The methodology is scalable from one station to a network of receivers.
论文关键词：Automatic Identification System (AIS),Maritime surveillance,Maritime Situational Awareness,Received Signal Strength Indicator,Anomaly detection,Knowledge-based systems
论文评审过程：Received 5 August 2016, Revised 3 February 2017, Accepted 4 February 2017, Available online 4 February 2017, Version of Record 16 February 2017.
论文官网地址：https://doi.org/10.1016/j.eswa.2017.02.011
