Security & Privacy in Intelligent Transportation Systems
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: closed (15 January 2022) | Viewed by 8059
Special Issue Editors
Interests: cyber security; intelligent transportation systems; critical infrastructure security; smart cities
Special Issues, Collections and Topics in MDPI journals
Interests: smart systems; cyber security; machine learning; deep learning; software architecture; software testing
Special Issues, Collections and Topics in MDPI journals
Interests: software engineering; software architecture; smart cities; aspect-oriented programming; digital ecosystems
Special Issues, Collections and Topics in MDPI journals
Interests: software engineering; software architecture; systems engineering; smart systems; critical infrastructures; software ecosystems; system of systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In recent years, intelligent transportation systems (ITS) have become very popular and are in high demand to advance transportation safety, mobility, and solve other transportation problems. By relying on novel technologies, such as cloud computing, 5G, IoT, and artificial intelligence, ITS has opened the door to endless applications and is considered one of the backbones of future smart cities.
Despite these attractive benefits and widespread applications of ITS, the security and privacy of such systems have not been studied in-depth and still suffer from several flaws that, if exploited, can result in severe attacks. This Special Issue will publish high-quality research, from both academic and industrial stakeholders, and serves as an outlet to disseminate solutions focusing on the security and privacy of intelligent transportation systems.
The proposed topics include but are not limited to the following:
- Security and privacy in advanced traffic management systems
- Security and privacy in advanced vehicle control systems
- Security and privacy in connected vehicles
- Security and privacy in V2V, V2I, and V2X
- Security architectures for intelligent transportation systems
- Security and privacy of data collection, transmission, and analysis in intelligent transportation systems
- Security and privacy of 5G-based intelligent transportation systems
- Lightweight cryptographic algorithms and protocols for intelligent transportation systems
- AI and machine learning approaches to detect and classify cyber-attacks targeting intelligent transportation systems
- Blockchain for secure intelligent transportation systems
- Authentication and access management in intelligent transportation systems
- Key management protocols for intelligent transportation systems
- Threat models and attack strategies of intelligent transportation systems
- Intrusion and malware detection for intelligent transportation systems
Dr. Thabet Kacem
Prof. Dr. Cagatay Catal
Prof. Dr. Mehmet Aksit
Prof. Dr. Bedir Tekinerdogan
Dr. Qingzhi Liu
Guest Editors
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Keywords
- Intelligent transportation systems
- Security
- Privacy
- V2V, VEX, V2I
- Intrusion and malware detection
- Attack detection and classification
- Authentication and access management
- Blockchain
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