Enhancing and evaluating an architecture for privacy in the integration of Internet of Things and cloud computing

Pacheco, Luis A.; Alchieri, Eduardo; Barreto, Priscila América Solís Mendez

doi:10.1109/nca.2017.8171355

Cited by 14 publications

(7 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“… It presents an analytical analysis regarding the costs involved in implementing security and privacy mechanisms directly at the IoT devices. It presents a new experimental evaluation of these architectures, expanding previous results [ 10 ] and considering new scenarios. The evaluation is carried out through simulations conducted in the ns-3 network simulator, considering WSNs of different sizes (ranging from 4 to 160 devices) and using a solution without security as the baseline.…”

Section: Introductionmentioning

confidence: 91%

“…In an earlier version of this work [ 9 ], we briefly presented an architecture that extends UPECSI by transferring the privacy enforcement tasks from the gateway to the IoT devices. The resulting architecture is called PROTeCt ( P rivacy a R quitecture for integrati O n of internet of T hings and C loud computing), and a preliminary evaluation showed its practical behavior [ 10 ]. PROTeCt adapts all communication protocols to consider the constrained nature of most IoT devices, extending the architecture protection spectrum, i.e., it decreases the attack surface since data leaves the IoT devices already protected.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Device-Based Security to Improve User Privacy in the Internet of Things †

Pacheco

Alchieri

Barreto

2018

Sensors

View full text Add to dashboard Cite

The use of Internet of Things (IoT) is rapidly growing and a huge amount of data is being generated by IoT devices. Cloud computing is a natural candidate to handle this data since it has enough power and capacity to process, store and control data access. Moreover, this approach brings several benefits to the IoT, such as the aggregation of all IoT data in a common place and the use of cloud services to consume this data and provide useful applications. However, enforcing user privacy when sending sensitive information to the cloud is a challenge. This work presents and evaluates an architecture to provide privacy in the integration of IoT and cloud computing. The proposed architecture, called PROTeCt—Privacy aRquitecture for integratiOn of internet of Things and Cloud computing, improves user privacy by implementing privacy enforcement at the IoT devices instead of at the gateway, as is usually done. Consequently, the proposed approach improves both system security and fault tolerance, since it removes the single point of failure (gateway). The proposed architecture is evaluated through an analytical analysis and simulations with severely constrained devices, where delay and energy consumption are evaluated and compared to other architectures. The obtained results show the practical feasibility of the proposed solutions and demonstrate that the overheads introduced in the IoT devices are worthwhile considering the increased level of privacy and security.

show abstract

Section: Introductionmentioning

confidence: 91%

Section: Introductionmentioning

confidence: 99%

Device-Based Security to Improve User Privacy in the Internet of Things †

Pacheco

Alchieri

Barreto

2018

Sensors

View full text Add to dashboard Cite

show abstract

“…The later progress within the miniaturisation of electronic components and remote communications has empowered the appearing of IoT [35]. IoT comprises of large-scale, dispersed multi-factor elements positioned in a dynamically changing environment displaying remote network [36].…”

Section: Internet Of Thingsmentioning

confidence: 99%

“…A key issue in the combination of cloud and IoT is security since user confidential information gathered by IoT devices send to the cloud. The architecture evaluated by Pacheco et al [35] is a privacy architecture for the integration of cloud computing and IoT. This architecture has presented an approach for protecting data created by IoT devices without applying a safe transference level protocol.…”

Section: Overview Of the Selected Platformsmentioning

confidence: 99%

Integration of Internet of Things and cloud computing: a systematic survey

et al. 2020

View full text Add to dashboard Cite

“…Privacy: Only authorized entities should be able to use services [23]. The cryptographic mechanisms impose some overhead in terms of processing and amount of data transmitted [99]. Furthermore, lack of standards, secure authentication and authorization policies are yet to be discussed.…”

Section: Challengesmentioning

confidence: 99%

Transformation to Advanced Mechatronics Systems Within New Industrial Revolution: A Novel Framework in Automation of Everything (AoE)

Kuru

Yetgin

2019

IEEE Access

View full text Add to dashboard Cite

The recent advances in cyber-physical domains, cloud, cloudlet, and edge platforms along with the evolving Artificial Intelligence (AI) techniques, big data analytics, and cutting-edge wireless communication technologies within the Industry 4.0 (4IR) are urging mechatronics designers, practitioners, and educators to further review the ways in which mechatronics systems are perceived, designed, manufactured, and advanced. Within this scope, we introduce the service-oriented cyber-physical advanced mechatronics systems (AMSs) along with current and future challenges. The objective in AMSs is to create remarkably intelligent autonomous products by 1) forging effective sensing, self-learning, Wisdom as a Service (WaaS), Information as a Service (InaaS), precise decision making, and actuation using effective locationindependent monitoring, control and management techniques with products and 2) maintaining a competitive edge through better product performances via immediate and continuous learning, while the products are being used by customers and are being produced in factories within the cycle of Automation of Everything (AoE). With the advanced wireless communication techniques and improved battery technologies, the AMSs are capable of getting independent and working with other massive AMSs to construct robust, customizable, energy-efficient, autonomous, intelligent, and immersive platforms. In this regard, rather than providing technological details, this paper implements philosophical insights into 1) how mechatronics systems are being transformed into AMSs; 2) how robust AMSs can be developed by both exploiting the wisdom created within cyber-physical smart domains in the edge and cloud platforms and incorporating all the stakeholders with diverse objectives into all phases of the product life-cycle; and 3) what essential common features AMSs should acquire to increase the efficacy of products and prolong their product life. Against this background, an AMS development framework is proposed in order to contextualize all the necessary phases of AMS development and direct all stakeholders to rivet high-quality products and services within AoE. INDEX TERMS Advanced mechatronics systems, Wisdom as a Service (WaaS), Information as a Service (InaaS), Industry 4.0 (4IR), cyber-physical domains, cloud and edge/fog platforms, Automation of Everything (AoE).

show abstract

Enhancing and evaluating an architecture for privacy in the integration of Internet of Things and cloud computing

Cited by 14 publications

References 13 publications

Device-Based Security to Improve User Privacy in the Internet of Things †

Device-Based Security to Improve User Privacy in the Internet of Things †

Integration of Internet of Things and cloud computing: a systematic survey

Transformation to Advanced Mechatronics Systems Within New Industrial Revolution: A Novel Framework in Automation of Everything (AoE)

Contact Info

Product

Resources

About