Security threats to automotive CAN networks - Practical examples and selected short-term countermeasures

By Tobias Hoppe, Stefan Kiltz, J. Dittmann. Reliability Engineering & System Safety, 2008

548 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Information Systems, Signal Processing

View Paper: https://www.semanticscholar.org/paper/cdbb46785f9b9acf8d03f3f8aba58b201f06639f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Electrical and Electronic Engineering

1. Huy Kang Kim
2. Hyun Min Song
3. Kang G. Shin
4. Kyong-Tak Cho
5. Ha Rang Kim
6. Bo Luo
7. Fengjun Li
8. Stefan Savage

In Information Systems

1. Bo Luo
2. Fengjun Li
3. Kang G. Shin
4. Kyong-Tak Cho
5. Damon McCoy
6. Jingqiang Lin
7. Stefan Savage
8. Tadayoshi Kohno

In Signal Processing

1. Huy Kang Kim
2. Kang G. Shin
3. Kyong-Tak Cho
4. Hyun Min Song
5. Ha Rang Kim
6. Stephen Checkoway
7. Stefan Savage
8. Damon McCoy

Citations in the corpus

• Entropy-based anomaly detection for in-vehicle networks (2011, background): “The first concept for in-vehicle intrusion detection was introduced by Hoppe et al. [4] with a presentation of three selected characteristics as intrusion detection patterns.”
• A Survey of Intrusion Detection for In-Vehicle Networks (2020, background): “Hoppe et al. proposed a type of attacks against automotive CAN, which can control the window lift, warning lights, and ABS [31].”
• Experimental Security Analysis of a Modern Automobile (2010, background): “With some exceptions, e.g., [ 15 ], most of these efforts consider threats abstractly; considering “what-if” questions about a hypothetical attacker.”
• Comprehensive Experimental Analyses of Automotive Attack Surfaces (2011, background): “research showed that an adversary can seriously impact the safety of a vehicle if he or she is capable of sending packets on the car’s internal wired network [14], and numerous other papers have discussed potential security risks with future (wired and wireless) automobiles in the abstract or on the”
• Cyber-Physical Systems Security—A Survey (2017, background): “Another is to disable the warning lights or the theft alarm system, so that the car cannot produce warnings and alarms when needed [64].”
• GIDS: GAN based Intrusion Detection System for In-Vehicle Network (2018, unknown): “[3].”
• Fingerprinting Electronic Control Units for Vehicle Intrusion Detection (2016, background): “Unlike state-of-the-art IDSs, if an attack is detected, CIDS’s fingerprinting of ECUs also facilitates a rootcause analysis; identifying which ECU mounted the attack.”
• OTIDS: A Novel Intrusion Detection System for In-vehicle Network by Using Remote Frame (2017, unknown): “central gateway and proposed intrusion detection based on ITforensic measures [17].”
• Intrusion detection system based on the analysis of time intervals of CAN messages for in-vehicle network (2016, background): “[16] and Miller and Valasek [17] introduced a concept for in-vehicle intrusion detection based on the analysis of the rate of messages.”