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 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 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.

Approaches for Introducing Intelligent Transportation Systems into Developing Countries

2005 ◽  
Vol 1910 (1) ◽  
pp. 72-81
Author(s):  
Toshiyuki Yokota ◽  
Richard J. Weiland ◽  
Hiroo Yamagata
Keyword(s):  
Developing Countries ◽  
Intelligent Transportation Systems ◽  
High Speed ◽  
Intelligent Transportation ◽  
Developed Countries ◽  
Transportation Systems ◽  
Transitional Economies ◽  
Road Transportation ◽  
The Right ◽  
Innovative Approaches

The use of intelligent transportation systems (ITSs)—the application of information and communication technology to road transportation—is emerging to address a variety transportation-related problems. While countries with developing and transitional economies can learn a lot from the ITS experiences of developed countries, they need to develop their own approaches to ITS. The reasons for this are the high speed at which ITS technology is advancing to bring better performance at lower costs and the arrival of new, innovative approaches for both the initial incentives for introducing ITS and the actual introduction process. To support these new opportunities, the World Bank developed a series of five ITS Technical Notes for countries with developing and transitional economies and appendixes that include the 130 examined cases of ITS deployment. The purpose of this paper is to introduce and provide highlights from the ITS Technical Notes. In particular, on the basis of the ITS Technical Notes, this paper (a) explains the new incentives for introducing ITS, particularly in developing countries, that focus on reliability as well as on social benefits; (b) discusses a number of innovative approaches; and (c) introduces a model to assist the selection of the proper application. The model helps decision makers to select the right applications and also informs users about the requirements of the recommended applications. The model presented here can provide useful guidance and a study tool to help users in developing countries to achieve maximum benefits from ITS.

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