scholarly journals Access Control and Surveillance in a Smart Home

2021 ◽  
pp. 100036
Author(s):  
Cristina Stolojescu-Crisan ◽  
Calin Crisan ◽  
Bogdan-Petru Butunoi
Keyword(s):  
Author(s):  
Sabrina Sicari ◽  
Alessandra Rizzardi ◽  
Gianluca Dini ◽  
Pericle Perazzo ◽  
Michele La Manna ◽  
...  

AbstractRegulating the access to the Internet of Things (IoT) network’s resources is a complex-prone task, which requires to pay a great attention on how policies are defined, shared, and enforced. The present paper considers the specific context of a smart home, which represents one of the main IoT application domains, and it focuses on two solutions proposed in the literature to cope with the aforementioned issues. On the one side, approaches based on attribute-based encryption (ABE) allow one to encrypt data for multiple recipients, in such a way that only those recipients whose attributes satisfy a given access policy can decrypt afterward. ABE guarantees a high level of customization due to the variety of attributes which can be defined, and it is also flexible enough to be adapted to different kinds of scenarios. On the other side, approaches based on sticky policies allow to attach an access policy directly to the data itself, and to employ a trusted authority to evaluate and enforce the policy itself. Sticky policies also guarantee a highly distributed and customizable enforcement of access control rules. In this paper, we compare the advantages and the drawbacks in terms of performance and robustness of such two techniques by means of their integration within the prototype of an IoT middleware, named networked smart object. Hence, the effectiveness of the presented solutions is validated by means of a real test-bed in the smart home scenario, in terms of storage occupancy, CPU load, and data retrieval delay. The final goal is to reveal the best approach to be used depending on the application’s requirements.


2014 ◽  
Vol 912-914 ◽  
pp. 1127-1130
Author(s):  
Xun Wang ◽  
Ling Hua Zhang ◽  
Yuan Wu Xu

Smart home includes an access control system, temperature and humidity system etc. Each system includes different terminals and each terminal is equipped with different sensors. Sensor senses its surroundings and generates enormous amounts of data. With the increasing number of users, it will generate vast amounts of data. As the traditional method of massive data processing has shortcomings of high cost in hardware and has developed to a bottleneck of calculation, a data processing platform based on distributed parallel processing is intended for the access control system, temperature and humidity system. It effectively solves problems in cost and bottleneck of calculation.


2021 ◽  
Vol 1971 (1) ◽  
pp. 012049
Author(s):  
Wentai Zhang ◽  
Huaizhi Yan

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