Maritime Cyber-Attacks Detection Based on a Convolutional Neural Network

Maritime transportation is the lifeblood of the global economy; it accounts for the transport of 90% of the world’s trade goods. As regards to modern ships and other vessels, increasing the integration of the maritime internet of things (IoT) and connectivity to global communication systems means that the maritime domain is now part of cyberspace. Consequently, the issue of cyber security plays a major role in maritime transportation system technologies. Vulnerabilities in maritime embedded technology tools are of interest to attackers. Increasing the degree of automation of the maritime transportation system increases the probability of cyber-attacks; in fact, these have increased by 900% over the last three years. Two types of cyber-attacks in maritime transportation system are altering the course of vessels to cause accidents and increasing port congestion. To protect the data in maritime transportation systems, a convolutional neural network is proposed, which works by detecting data anomalies in maritime communications.