Intrusion Detection System Trends: An Overview of Current Advances in IoV & Communication Networks
IFIP Advances in Information and Communication Technology, ISSN: 1868-422X, Vol: 718 IFIPAICT, Page: 36-50
2024
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Conference Paper Description
The proliferation of Internet of Vehicles (IoV) indeed has paved the way for an inter-connected system of transportation, offering unprecedented convenience and efficiency. However, this network is susceptible to various intrusions of malicious means. The volatility of security in IoV arises from the interconnected and dynamic nature of vehicular communication. With the increasing number of connected vehicles and the continuous evolution of communication protocols, the attack surface expands, rendering traditional security measures inadequate. The potential consequences of security breaches in IoV are farreaching, encompassing safety risks, privacy infringements, and disruptions to critical transportation infrastructure. Threat identification systems emerge as a critical defense mechanism, along with firewalls and other security measures. This paper assesses a comprehensive overview of existing IDS approaches to cater to different kinds of intrusions, implemented in IoV environments or in a different setting. The study provides a comprehensive overview of existing IDS approaches, evaluating their effectiveness in IoV settings as well as in alternative contexts. The discussion encompasses various aspects of intrusion detection within the IoV framework.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85208444892&origin=inward; http://dx.doi.org/10.1007/978-3-031-69986-3_3; https://link.springer.com/10.1007/978-3-031-69986-3_3; https://dx.doi.org/10.1007/978-3-031-69986-3_3; https://link.springer.com/chapter/10.1007/978-3-031-69986-3_3
Springer Science and Business Media LLC
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