| Title | Maritime Situational Awareness Forensics Tools for a Common Information Sharing Environment (CISE) |
| Publication Type | Conference Paper |
| Year of Publication | 2019 |
| Authors | Thomopoulos, Stelios C. A. |
| Conference Name | 2019 4th International Conference on Smart and Sustainable Technologies (SpliTech) |
| Date Published | jun |
| Keywords | AI, AIS, artificial intelligence, automatic identification system, C2I system, CISE, Command, command and control systems, common information sharing environment, composability, Control, control-command-information system, corresponding national legacy systems, CY-CISE projects, Cypriot CISE, Databases, Deep Learning, Distributed CISE database, EU Member States, Europe, Forensics, forensics tools, fusion algorithms, Hellenic CISE, Information management, integrated systems laboratory, ISL, learning (artificial intelligence), marine engineering, maritime security, Maritime Surveillance, maritime surveillance systems, maritime traffic, Metrics, MS, National security, National Situational Picture Management system, NSPM system, pubcrawl, resilience, Resiliency, security of data, situational awareness, surveillance, time filtering, Tools |
| Abstract | CISE stands for Common Information Sharing Environment and refers to an architecture and set of protocols, procedures and services for the exchange of data and information across Maritime Authorities of EU (European Union) Member States (MS's). In the context of enabling the implementation and adoption of CISE by different MS's, EU has funded a number of projects that enable the development of subsystems and adaptors intended to allow MS's to connect and make use of CISE. In this context, the Integrated Systems Laboratory (ISL) has led the development of the corresponding Hellenic and Cypriot CISE by developing a Control, Command & Information (C2I) system that unifies all partial maritime surveillance systems into one National Situational Picture Management (NSPM) system, and adaptors that allow the interconnection of the corresponding national legacy systems to CISE and the exchange of data, information and requests between the two MS's. Furthermore, a set of forensics tools that allow geospatial & time filtering and detection of anomalies, risk incidents, fake MMSIs, suspicious speed changes, collision paths, and gaps in AIS (Automatic Identification System), have been developed by combining motion models, AI, deep learning and fusion algorithms using data from different databases through CISE. This paper briefly discusses these developments within the EU CISE-2020, Hellenic CISE and CY-CISE projects and the benefits from the sharing of maritime data across CISE for both maritime surveillance and security. The prospect of using CISE for the creation of a considerably rich database that could be used for forensics analysis and detection of suspicious maritime traffic and maritime surveillance is discussed. |
| DOI | 10.23919/SpliTech.2019.8783056 |
| Citation Key | thomopoulos_maritime_2019 |
Maritime Situational Awareness Forensics Tools for a Common Information Sharing Environment (CISE)