TARA+: Controllability-aware Threat Analysis and Risk Assessment for L3 Automated Driving Systems

Author(s):  
Anastasia Bolovinou ◽  
Ugur-Ilker Atmaca ◽  
Al Tariq Sheik ◽  
Obaid Ur-Rehman ◽  
Gerhard Wallraf ◽  
...  
2019 ◽  
pp. 71-82
Author(s):  
O. Ur-Rehman ◽  
G. Wallraf ◽  
G. Keßler ◽  
M. Jentges

2013 ◽  
Vol 380-384 ◽  
pp. 2534-2538
Author(s):  
Zhao Zhang ◽  
Fang Yong

On the basis of threat analysis, the paper proposes a security risk assessment model for government portal website. Using the model, the paper systematically analyzes the security risk of government portal websites and then explains the reason of them. To enhance the security of government portal websites, both technical and administrative strategies were proposed. Those security strategies help improve the image of the government and it plays an important role in constructing service government.


2018 ◽  
Vol 8 (12) ◽  
pp. 2632 ◽  
Author(s):  
Donghoon Shin ◽  
Kangmun Park ◽  
Manbok Park

This paper proposes a human-centered risk assessment algorithm designed to find the intervention moment of drive mode and active safety mode while monitoring threat vehicles ahead to overcome effects of vehicular communication on risk assessment in automated driving vehicle. Although a conventional radar system is known to be best fitted on-board ranging sensor in terms of longitudinal safety, it is generally not enough for a reliable automated driving because of sensing uncertainty of the traffic environments and incomplete perception results due to sensor limitations. This can be overcome by implementing vehicle-to-vehicle (V2V) communication which provides complementary source of target vehicle’s dynamic behavior. Using V2V communication with vehicle internal and surround information obtained from the on-board sensor system, future vehicle motion has been predicted. With accurately predicted motion of a remote vehicle, a collision risk and the automated drive mode are determined by incorporating human factor. Effects of the V2V communication on a human-centered risk assessment algorithm have been investigated through a safe triangle analysis. The computer simulation studies have been conducted in order to validate the performance of the proposed algorithm. It has been shown that the V2V communication with the proposed risk assessment algorithm allows a faster drive mode decision and active safety intervention moment.


2021 ◽  
Vol 27 (8) ◽  
pp. 830-849
Author(s):  
Jürgen Dobaj ◽  
Damjan Ekert ◽  
Jakub Stolfa ◽  
Svatopluk Stolfa ◽  
Georg Macher ◽  
...  

Cybersecurity has become a crucial challenge in the automotive sector. At the current stage, the framework described by the ISO/SAE 21434 is insufficient to derive concrete methods for the design of secure automotive networked embedded systems on the supplier level. This article describes a case study with actionable steps for designing secure systems and systematically eliciting traceable cybersecurity requirements to address this gap. The case study is aligned with the ISO/SAE 21434 standard and can provide the basis for integrating cybersecurity engineering into company-specific processes and practice specifications.


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