Monitoring automotive cyber risks throughout the deep and dark web
- This presentation will offer an overview of the automotive cyber threats found throughout the deep and dark web, report on the various forms of automotive-related hacks and vulnerabilities, and highlight specific incidents that our analysts discovered through deep and dark web threat intelligence efforts. The deep and dark web contains a noticeable amount of automotive-related hacks and threats. According to our research, the most frequent and significant automotive hacks discussed on the deep and dark web include ECU tuning, infotainment hacking, selling stolen identities to access OEM and smart-mobility accounts, and leaking automotive source code or data.
| Author: | Fay GoldsteinGND, Oded YarkoniGND, Lihi ShalmonGND, Haim GlikmanGND, Shachar AzrielGND, Guy MolhoGND |
|---|---|
| Parent Title (English): | 19\(^{th}\) escar Europe : The World's Leading Automotive Cyber Security Conference (Konferenzveröffentlichung) |
| Document Type: | Part of a Book |
| Language: | English |
| Date of Publication (online): | 2021/09/28 |
| Date of first Publication: | 2021/09/28 |
| Publishing Institution: | Ruhr-Universität Bochum, Universitätsbibliothek |
| Tag: | automotive cybersecurity; dark web; deep web; hackers; threat intelligence |
| First Page: | 46 |
| Last Page: | 51 |
| Dewey Decimal Classification: | Allgemeines, Informatik, Informationswissenschaft / Informatik |
| open_access (DINI-Set): | open_access |
| Konferenz-/Sammelbände: | 19th escar Europe : The World's Leading Automotive Cyber Security Conference |
