Privacy in machine-to-machine communications A state-of-the-art survey

Cheng, Yi; Näslund, Mats; Selander, Göran; Fogelstrom, Eva

doi:10.1109/iccs.2012.6406112

Cited by 30 publications

(15 citation statements)

References 19 publications

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“…It also becomes necessary to take into account that connected objects (M2M/IoT) are also on the agenda of regulatory bodies not directly involved in electronic communications [35]. Trustworthy solutions will strongly contribute to the acceptance and penetration of M2M services [36].…”

Section: Privacy and Data Protectionmentioning

confidence: 99%

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Standardisation and regulatory context of machine-to-machine communication

Lucic

Carić²,

Lovrek

2015

2015 13th International Conference on Telecommunications (ConTEL)

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The paper deals with the standardisation and regulatory context of Machine-to-Machine communications and the changes they cause in an electronic communications ecosystem. Research, innovation and market positioning of Machine-to-Machine communications in addressing global societal challenges is presented. Standardisation and adoption of interoperable standards are elaborated from the view of competition, investment and market development. Numbering and addressing, roaming, privacy and data security, and spectrum are discussed in terms of activities to be undertaken by the national regulatory authority. A case study on Machine-to-Machine communications in Croatia is given.

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Section: Privacy and Data Protectionmentioning

confidence: 99%

“…M2M market and business models and opportunities are discussed in [46][47][48][49], topics related to privacy and data security in [36,50,51]. CONCLUSIONS M2M communications introduce a new category of users, i.e.…”

Section: Related Workmentioning

confidence: 99%

Standardisation and regulatory context of machine-to-machine communication

Lucic

Carić²,

Lovrek

2015

2015 13th International Conference on Telecommunications (ConTEL)

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“…Privacy is a problem applied to any context involving machines and computing which collect and process data [4]. The right to determine if data can be used, seen and known belongs to individuals, groups and institutions which have the data [5], characterizing the privacy control.…”

Section: Introductionmentioning

confidence: 99%

Privacy-Preserving Mechanism for Monitoring Sensitive Data

Souza¹,

Zorzo²

2015

2015 12th International Conference on Information Technology - New Generations

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The warranty of privacy of a person's data is understood as the capacity of managing, altering, restricting or publishing for a group of individuals chosen by the person. The shared data can be sensitive revealing something private, which deserves protection when shared, e.g. personal financial information. Among several computing services, there is much sensitive data without any privacy-preserving mechanism. This work presents a privacy-preserving mechanism, which guarantees the privacy of the data owner and the person who accesses the data. A cloud monitoring mechanism was developed for data that needs to have its access monitored with intrusion-detection scenarios available for the data owner. The proposed viability was evaluated through tests on the response time to access the monitored page, server overload and consumption of server resources through the prism of an application using the mechanism. Such mechanism presents itself as a viable solution due to its minimum impact on computing resources and as a solution to help monitoring sensitive data access.

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“…Privacy should be protected in the device, in storage during communication and at processing which helps to disclose the sensitive information [10].The privacy of users and their data protection have been identified as one of the important challenges which need to be addressed in the IoTs.…”

Section: Networkmentioning

confidence: 99%