| Title |
A New Digital Forensics Model of Smart City Automated Vehicles |
| ID_Doc |
37055 |
| Authors |
Feng, XH; Dawam, ES; Amin, S |
| Title |
A New Digital Forensics Model of Smart City Automated Vehicles |
| Year |
2017 |
| Published |
|
| DOI |
10.1109/iThings-GreenCom-CPSCom-SmartData.2017.47 |
| Abstract |
In the modern world, cyber societies are full of complications. The Internet has brought so many convenient services to our society but Internet is also a mine field. Mass surveillance from smart phone to PC, from automated car to smart television, any online device seems could be turn to privacy breach toolkit. In order to follow the GDPR (General Data Protection Regulation), protect privacy data, including PII (Personally Identifiable Information), against Cyberstalking and many other cybercrime challenges, a novel Digital Forensics Model served for Smart City Automated Vehicles has been developed working on investigating AAV (Autonomous Automated Vehicle) cases. The proposed development is reported to Big Data 2017. Here, we report the update for discussions. |
| Author Keywords |
Big data; the Cloud security; Smart City monitoring; IoT (Internet of things); PII; Cyberstalking; automated car; Digital Forensics model; GDPR; PPI (Protection of Personal Information); AAV |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000426972400041 |
| WoS Category |
Computer Science, Artificial Intelligence; Computer Science, Cybernetics |
| Research Area |
Computer Science |
| PDF |
https://uobrep.openrepository.com/bitstream/10547/622094/2/x%20feng%20a%20new%20digital%20forensics%20model%20of%20smart%20city%20automated%20vehicles.pdf
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