scholarly journals Cybersecurity in Intelligent Transportation Systems

Computers ◽  
2020 ◽  
Vol 9 (4) ◽  
pp. 83
Author(s):  
Teodora Mecheva ◽  
Nikolay Kakanakov
Keyword(s):  
Intelligent Transportation Systems ◽  
Fog Computing ◽  
Bloom Filter ◽  
Intelligent Transportation ◽  
Transportation Systems ◽  
Complex Model ◽  
Complex Data ◽  
Security Issues ◽  
Security Standards ◽  
Key Steps

Intelligent Transportation Systems (ITS) are emerging field characterized by complex data model, dynamics and strict time requirements. Ensuring cybersecurity in ITS is a complex task on which the safety and efficiency of transportation depends. The imposition of standards for a comprehensive architecture, as well as specific security standards, is one of the key steps in the evolution of ITS. The article examines the general outlines of the ITS architecture and security issues. The main focus of security approaches is: configuration and initialization of the devices during manufacturing at perception layer; anonymous authentication of nodes in VANET at network layer; defense of fog-based structures at support layer and description and standardization of the complex model of data and metadata and defense of systems, based on AI at application layer. The article oversees some conventional methods as network segmentation and cryptography that should be adapted in order to be applied in ITS cybersecurity. The focus is on innovative approaches that have recently been trying to find their place in ITS security strategies. These approaches includes blockchain, bloom filter, fog computing, artificial intelligence, game theory and ontologies. In conclusion, a correlation is made between the commented methods, the problems they solve and the architectural layers in which they are applied.

scholarly journals Cybersecurity in Intelligent Transportation Systems

2020 ◽  
Author(s):  
Teodora Mecheva ◽  
Nikolay Kakanakov
Keyword(s):  
Intelligent Transportation Systems ◽  
Fog Computing ◽  
Bloom Filter ◽  
Intelligent Transportation ◽  
Transportation Systems ◽  
Complex Model ◽  
Complex Data ◽  
Security Issues ◽  
Security Standards ◽  
Innovative Approaches

Intelligent Transportation Systems (ITS) are emerging field characterized by complex data model, dynamics and strict time requirements. Ensuring cybersecurity in ITS is a complex task on which the safety and efficiency of transportation depends. The imposition of standards for a comprehensive architecture, as well as specific security standards, is one of the key steps in the evolution of ITS. The article examines the general outlines of the ITS architecture and security issues. The main focus of security approaches is: configuration and initialization of the devices during manufacturing at perception layer; anonymous authentication of nodes in VANET at network layer; defense of fog-based structures at support layer and description and standardization of the complex model of data and metadata and defense of systems, based on AI at application layer. The article oversees some conventional methods as network segmentation and cryptography that should be adapted in order to be applied in ITS cybersecurity. The focus is on innovative approaches that have been trying to find their place in ITS security strategies recently. The list of innovative approaches includes blockchain, bloom filter, fog computing, artificial intelligence, game theory, and ontologies. In conclusion, a correspondence is made between the commented methods, the problems they solve and the architectural layers in which they are applied.

scholarly journals Cybersecurity in Intelligent Transportation Systems

2020 ◽  
Author(s):  
Teodora Mecheva ◽  
Nikolay Kakanakov
Keyword(s):  
Intelligent Transportation Systems ◽  
Fog Computing ◽  
Bloom Filter ◽  
Intelligent Transportation ◽  
Transportation Systems ◽  
Complex Model ◽  
Complex Data ◽  
Security Issues ◽  
Security Standards ◽  
Innovative Approaches

Intelligent Transportation Systems (ITS) are emerging field characterized by complex data model, dynamics and strict time requirements. Ensuring cybersecurity in ITS is a complex task on which the safety and efficiency of transportation depends. The imposition of standards for a comprehensive architecture, as well as specific security standards, is one of the key steps in the evolution of ITS. The article examines the general outlines of the ITS architecture and security issues. The main focus of security approaches is: configuration and initialization of the devices during manufacturing at perception layer; anonymous authentication of nodes in VANET at network layer; defense of fog-based structures at support layer and description and standardization of the complex model of data and metadata and defense of systems, based on AI at application layer. The article oversees some conventional methods as network segmentation and cryptography that should be adapted in order to be applied in ITS cybersecurity. The focus is on innovative approaches that have been trying to find their place in ITS security strategies recently. The list of innovative approaches includes blockchain, bloom filter, fog computing, artificial intelligence, game theory, and ontologies. In conclusion, a correspondence is made between the commented methods, the problems they solve and the architectural layers in which they are applied.

scholarly journals Malware Detection Based on Graph Attention Networks for Intelligent Transportation Systems

Electronics ◽  
2021 ◽  
Vol 10 (20) ◽  
pp. 2534
Author(s):  
Cagatay Catal ◽  
Hakan Gunduz ◽  
Alper Ozcan
Keyword(s):  
Intelligent Transportation Systems ◽  
Malware Detection ◽  
Application Programming Interface ◽  
Intelligent Transportation ◽  
Transportation Systems ◽  
Convolutional Network ◽  
Attention Networks ◽  
Security Issues ◽  
Call Graphs ◽  
Network Metrics

Intelligent Transportation Systems (ITS) aim to make transportation smarter, safer, reliable, and environmentally friendly without detrimentally affecting the service quality. ITS can face security issues due to their complex, dynamic, and non-linear properties. One of the most critical security problems is attacks that damage the infrastructure of the entire ITS. Attackers can inject malware code that triggers dangerous actions such as information theft and unwanted system moves. The main objective of this study is to improve the performance of malware detection models using Graph Attention Networks. To detect malware attacks addressing ITS, a Graph Attention Network (GAN)-based framework is proposed in this study. The inputs to this framework are the Application Programming Interface (API)-call graphs obtained from malware and benign Android apk files. During the graph creation, network metrics and the Node2Vec model are utilized to generate the node features. A GAN-based model is combined with different types of node features during the experiments and the performance is compared against Graph Convolutional Network (GCN). Experimental results demonstrated that the integration of the GAN and Node2Vec models provides the best performance in terms of F-measure and accuracy parameters and, also, the use of an attention mechanism in GAN improves the performance. Furthermore, node features generated with Node2Vec resulted in a 3% increase in classification accuracy compared to the features generated with network metrics.

Incorporating Intelligent Transportation Systems into Major Investment Studies: Conceptual Issues and Challenges

1998 ◽  
Vol 1651 (1) ◽  
pp. 8-16 ◽  
Author(s):  
S. Gregory Hatcher ◽  
James A. Bunch ◽  
Donald L. Roberts
Keyword(s):  
Intelligent Transportation Systems ◽  
Planning Process ◽  
Intelligent Transportation ◽  
Transportation Systems ◽  
Problem Definition ◽  
Corridor Planning ◽  
Surface Transportation ◽  
Key Steps ◽  
Measures Of Effectiveness

The issues associated with incorporating intelligent transportation systems (ITS) strategies into alternatives analysis planning studies such as major investment studies (MIS), which have emerged since the Intermodal Surface Transportation Efficiency Act was passed in 1991, are discussed. The challenges and implications of including ITS in three of the key steps of the MIS process—problem definition, alternative definition, and analysis—are examined. As context for the specific issues addressed, a case study is presented on incorporating ITS into a corridor planning process that is being conducted using Seattle data. Critical to incorporating ITS elements within an MIS process is developing a problem statement, goals and objectives, and measures of effectiveness that are sensitive to ITS and other operational improvements for the corridor or subarea under study. Traditional MIS processes have focused on facility/service improvements and on average conditions and demand. ITS strategies, on the other hand, aim at improving ( a) operations; ( b) response to nonrecurrent conditions; and ( c) providing better information. To be able to address ITS strategies, the analysis approach used in an MIS should be sensitive to these issues. An illustration of how ITS strategies are being incorporated and evaluated in the Seattle (MIS-like) case study concludes the discussion.

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