DocumentCode :
73875
Title :
Defending Connected Vehicles Against Malware: Challenges and a Solution Framework
Author :
Tao Zhang ; Antunes, Helder ; Aggarwal, Suhas
Author_Institution :
Cisco Syst., Inc., Fort Lee, NJ, USA
Volume :
1
Issue :
1
fYear :
2014
fDate :
Feb. 2014
Firstpage :
10
Lastpage :
21
Abstract :
Vehicles face growing security threats as they become increasingly connected with the external world. Hackers, researchers, and car hobbyists have compromised security keys used by the electronic control units (ECUs) on vehicles, modified ECU software, and hacked wireless transmissions from vehicle key fobs and tire monitoring sensors, using low-cost commercially available tools. However, the most damaging security threats to vehicles are only emerging. One such threat is malware, which can infect vehicles in a variety of ways and cause severe consequences. Defending vehicles against malware attacks must address many unique challenges that have not been well addressed in other types of networks. This paper identifies those vehicle-specific challenges, discusses existing solutions and their limitations, and presents a cloud-assisted vehicle malware defense framework that can address these challenges.
Keywords :
invasive software; mobile radio; cloud-assisted vehicle malware defense framework; connected vehicles; electronic control units; hacked wireless transmissions; malware attacks; modified ECU software; security threats; tire monitoring sensors; vehicle key fobs; Computer viruses; Iintelligent vehicles; Linux; Malware; Microprogramming; Mobile communication; Network security; Antivirus; connected cars; connected vehicles; intelligent transportation system (ITS) malware defense; security; threat defense; vehicle communications; vehicle networks; virus;
fLanguage :
English
Journal_Title :
Internet of Things Journal, IEEE
Publisher :
ieee
ISSN :
2327-4662
Type :
jour
DOI :
10.1109/JIOT.2014.2302386
Filename :
6720160
Link To Document :
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