Abstract
The Ubiquitous computing (UbiComp) offers an ever-present computing environment. It is characterized by ever-growing small, networked, and portable everyday objects having computational capability along with conventional computers. Dynamic usage scenarios of several devices generate new associations. These devices may not have past information of each other and a common trusted third party may be absent. Traditional access control mechanisms rely on a previous knowledge of devices to grant or deny access to resources making them unsuitable in a UbiComp environment where entities are not foreknown to each other. This set up new challenges for resource security. In this paper, a decentralized access control mechanism is proposed for UbiComp to secure its resources. The proposed access control mechanism incorporates the high-level context and the trust level of the device requesting a resource. We also suggest the use of a machine learning approach to derive high-level context. Proposed mechanism considers device type as a high-level context derived through clustering.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Weiser M (1999) The computer for the 21st century. ACM SIGMOBILE Mob Comput Commun Rev 3:3–11. https://doi.org/10.1145/329124.329126
Sandhu RS (1997) Role-based access control
Wang J, Wang H, Zhang H, Cao N (2017) Trust and attribute-based dynamic access control model for Internet of Things. In: Proceedings of international conference cyber-enabled distributed computing and knowledge discovery 2017 (CyberC 2017), 2018-Janua, pp 342–345. https://doi.org/10.1109/CyberC.2017.47
Bhatt S, Sandhu R (2020) Convergent access control to enable secure smart communities. In: Proceedings of the second IEEE international conference on trust, privacy and security in intelligent systems, and applications, TPS-ISA 2020, pp 148–156. https://doi.org/10.1109/TPS-ISA50397.2020.00029
Kaiwen S, Lihua Y (2014) Attribute-role-based hybrid access control in the Internet of Things. In: Lecture notes in computer science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8710 LNCS, pp 333–343. https://doi.org/10.1007/978-3-319-11119-3_31
Attia HB, Kahloul L, Benharzallah S (2018) A new hybrid access control model for security policies in multimodal applications environments. J Univers Comput Sci 24:392–416
Kalam AAE, Baida RE, Balbiani P, Benferhat S, Cuppens F, Deswarte Y, Miege A, Saurel C, Trouessin G (2003) Organization based access control. Proceedings of POLICY 2003 IEEE 4th international workshop on policies for distributed systems and networks, pp 120–131. https://doi.org/10.1109/POLICY.2003.1206966
Abowd GD, Dey AK, Brown PJ, Davies N, Smith M, Steggles P () Towards a better understanding of context and context-awareness. In: Lecture notes in computer science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1707, pp 304–307. https://doi.org/10.1007/3-540-48157-5_29
Henricksen K, Indulska J (2004) Modelling and using imperfect context information. In: Proceedings of second IEEE annual conference on pervasive computing and communications workshops PerCom, pp 33–37. https://doi.org/10.1109/PERCOMW.2004.1276901
Anggorojati B, Mahalle PN, Prasad NR, Prasad R (2012) Capability-based access control delegation model on the federated IoT network. In: International symposium on wireless personal multimedia communications, WPMC, pp 604–608
Thirukkumaran R, Muthukannan P (2019) TAACS-FL: trust aware access control system using fuzzy logic for Internet of Things. Int J Internet Technol Secur Trans 9:201. https://doi.org/10.1504/IJITST.2019.098140
Bouij-Pasquier I, Ait Ouahman A, Abou El Kalam A, Ouabiba De Montfort M (2016) SmartOrBAC security and privacy in the Internet of Things. In: Proceedings ACS/IEEE international conference on computer systems and applications, AICCSA, July 2016. https://doi.org/10.1109/AICCSA.2015.7507098
Xu R, Chen Y, Blasch E, Chen G (2018) BlendCAC: a smart contract enabled decentralized capability-based access control mechanism for the IoT. Computers 7:1–27. https://doi.org/10.3390/computers7030039
Mhetre NA, Deshpande AV, Mahalle PN (2016) Trust management model based on fuzzy approach for ubiquitous computing. Int J Ambient Comput Intell 7:33–46. https://doi.org/10.4018/IJACI.2016070102
Mhetre NA, Deshpande AV, Mahalle PN (2021) Device classification-based context management for ubiquitous computing using machine learning. Preprints. 202101027. https://doi.org/10.20944/preprints202101.0273.v1
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Mhetre, N., Deshpande, A.V., Mahalle, P.N. (2022). Rethinking Access Control Mechanism for Ubiquitous Computing. In: Tuba, M., Akashe, S., Joshi, A. (eds) ICT Systems and Sustainability. Lecture Notes in Networks and Systems, vol 321. Springer, Singapore. https://doi.org/10.1007/978-981-16-5987-4_17
Download citation
DOI: https://doi.org/10.1007/978-981-16-5987-4_17
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-16-5986-7
Online ISBN: 978-981-16-5987-4
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)