Title
Policy-Based Security Modelling and Enforcement Approach for Emerging Embedded Architectures
Abstract
Complex embedded systems often contain hard to find vulnerabilities which, when exploited, have potential to cause severe damage to the operating environment and the user. Given that threats and vulnerabilities can exist within any layer of the complex eco-system, OEMs face a major challenge to ensure security throughout the device life-cycle To lower the potential risk and damage that vulnerabilities may cause, OEMs typically perform application threat analysis and security modelling. This process typically provides a high level guideline to solving security problems which can then be implemented during design and development. However, this concept presents issues where new threats or unknown vulnerability has been discovered. To address this issue, we propose a policy-based security modelling approach, which utilises a configurable policy engine to apply new policies that counter serious threats. By utilising this approach, the traditional security modelling approaches can be enhanced and the consequences of a new threat greatly reduced. We present a realistic use case of connected car, applying several attack scenarios. By utilising STRIDE threat modelling and DREAD risk assessment model, adequate policies are derived to protect the car assets. This approach poses advantages over the standard approach, allowing a policy update to counter a new threat, which may have otherwise required a product redesign to alleviate the issue under the traditional approach.
Year
DOI
Venue
2018
10.1109/SOCC.2018.8618544
2018 31st IEEE International System-on-Chip Conference (SOCC)
Keywords
Field
DocType
Secure by design,Security Modelling,Policy,Embedded Security,STRIDE,Threat Modelling
Operating environment,STRIDE,Threat model,Computer science,Original equipment manufacturer,Risk analysis (engineering),Enforcement,Access control,Vulnerability,Secure by design
Conference
ISSN
ISBN
Citations 
2164-1676
978-1-5386-1492-1
1
PageRank 
References 
Authors
0.36
6
3
Name
Order
Citations
PageRank
Matthew Hagan142.10
Fahad Manzoor Siddiqui2113.63
Sakir Sezer3101084.22