Access Control Model for Google Cloud IoT

Gupta, Deepti; Bhatt, Smriti; Gupta, Maanak; Kayode, Olumide; Tosun, Ali Şaman

doi:10.1109/bigdatasecurity-hpsc-ids49724.2020.00044

Cited by 42 publications

(20 citation statements)

References 23 publications

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“…Building IDS on top of the cloud environment brings several advantages. Cloud environments enable the identification of malicious network activities from different perspectives and overcome the classical intrusion detection deficiency [107]. In addition, using public and private clouds gives the opportunity to detect various types of network attacks in parallel with high performance.…”

Section: E Cloud Basedmentioning

confidence: 99%

A Comprehensive Systematic Literature Review on Intrusion Detection Systems

Ozkan-Okay¹,

Samet

Aslan

et al. 2021

IEEE Access

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Section: E Cloud Basedmentioning

confidence: 99%

A Comprehensive Systematic Literature Review on Intrusion Detection Systems

Ozkan-Okay¹,

Samet

Aslan

et al. 2021

IEEE Access

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“…Attribute-based access control (ABAC) [3,4,27] supports fine grained authorization capabilities for resources offering flexibility in a distributed multi-entity environment where the attributes of entities along with contextual information are used for access and communication authorization decisions. Several cloud service platforms including AWS and Google Cloud provide policy based [28,29] security solutions to control among different smart entities and applications in the connected ecosystem. In the past, numerous access control models [19,[30][31][32][33] and mechanisms [34,35] have been proposed to address authorization needs in both edge and cloud assisted IoT and CPS architectures.…”

Section: Access Control Requirements In Smart and Connected Ecosystemsmentioning

confidence: 99%

Towards Activity-Centric Access Control for Smart Collaborative Ecosystems

Gupta

Sandhu

2021

Proceedings of the 26th ACM Symposium on Access Control Models and Technologies

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The ubiquitous presence of smart devices along with advancements in connectivity coupled with the elastic capabilities of cloud and edge systems have nurtured and revolutionized smart ecosystems. Intelligent, integrated cyber-physical systems offer increased productivity, safety, efficiency, speed and support for data driven applications beyond imagination just a decade ago. Since several connected devices work together as a coordinated unit to ensure efficiency and automation, the individual operations they perform are often reliant on each other. Therefore, it is important to control what functions or activities different devices can perform at a particular moment of time, and how they are related to each other. It is also important to consider additional factors such as conditions, obligation or mutability of activities, which are critical in deciding whether or not a device can perform a requested activity. In this paper, we take an initial step to propose and discuss the concept of Activity-Centric Access Control (ACAC) for smart and connected ecosystem. We discuss the notion of activity with respect to the collaborative and distributed yet integrated systems and identify the different entities involved along with the important factors to make an activity control decision. We outline a preliminary approach for defining activity control expressions which can be applied to different smart objects in the system. The main goal of this paper is to present the vision and need for the activity-centric approach for access control in connected smart systems, and foster discussion on the identified future research agenda. CCS CONCEPTS• Security and privacy → Security requirements; Access control; Authorization.

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“…This model was developed based on AWS Cloud Access Control (AWSAC) model [10]. Gupta et al developed access control models for Google Cloud Platform (GCP) and GCP IoT, known as GCPAC and GCP-IoTAC model respective [28]. Another access control model is developed for Azure IoT cloud which is known as Priority-Attribute-Based RBAC Model for Azure IoT Cloud (PARBAC) [29].…”

Section: Comparison With Existing Access Control Modelsmentioning

confidence: 99%