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Zero trust (ZT) is the term for an evolving set of cybersecurity paradigms that move defenses from static, network-based perimeters to focus on users, assets, and resources. It assumes no implicit trust is granted to assets or user accounts based solely on their physical or network location. We have billions of devices in IoT ecosystems connected to enable smart environments, and these devices are scattered around different locations, sometimes multiple cities or even multiple countries. Moreover, the deployment of resource-constrained devices motivates the integration of IoT and cloud services. This adoption of a plethora of technologies expands the attack surface and positions the IoT ecosystem as a target for many potential security threats. This complexity has outstripped legacy perimeter-based security methods as there is no single, easily identified perimeter for different use cases in IoT. Hence, we believe that the need arises to incorporate ZT guiding principles in workflows, systems design, and operations that can be used to improve the security posture of IoT applications. This paper motivates the need to implement ZT principles when developing access control models for smart IoT systems. It first provides a structured mapping between the ZT basic tenets and the PEI framework when designing and implementing a ZT authorization system. It proposes the ZT authorization requirements framework (ZT-ARF), which provides a structured approach to authorization policy models in ZT systems. Moreover, it analyzes the requirements of access control models in IoT within the proposed ZT-ARF and presents the vision and need for a ZT score-based authorization framework (ZT-SAF) that is capable of maintaining the access control requirements for ZT IoT connected systems.
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Utilizing The DLBAC Approach Toward a ZT Score-based Authorization for IoT Systems
The internet of Things (IoT) refers to a network of physical objects that are equipped with sensors, software, and other technologies in order to communicate with other devices and systems over the internet. IoT has emerged as one of the most important technologies of this century over the past few years. To ensure IoT systems' sustainability and security over the long term, several researchers lately motivated the need to incorporate the recently proposed zero trust (ZT) cybersecurity paradigm when designing and implementing access control models for IoT systems. This poster proposes a hybrid access control approach incorporating traditional and deep learning-based authorization techniques toward score-based ZT authorization for IoT systems.
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- Award ID(s):
- 2112590
- PAR ID:
- 10483149
- Publisher / Repository:
- Association for Computing Machinery New York NY United States
- Date Published:
- Journal Name:
- CODASPY '23: Proceedings of the Thirteenth ACM Conference on Data and Application Security and Privacy
- ISBN:
- 979-8-4007-0067-5
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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