Survey on interoperability, security, trust, privacy standardization of cloud computing

Saravanakumar, C.; Arun, C.

doi:10.1109/ic3i.2014.7019735

Cited by 20 publications

(11 citation statements)

References 34 publications

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“…This, in turn, allows one to get applications up and running faster, with improved manageability and less maintenance, and the ability to adjust to fluctuating and unpredictable data flow demands during run-time. Technical enablers for cloud capabilities are low-cost computers/servers; low-cost storage; high-capacity networks; and secure software capabilities in form of virtualization and service-oriented architectures [56], [57]. This is really important to ensure a scalable and trusted up-take of Tactile Internet technologies [58].…”

Section: B Ultra-reliable Edge-cloudmentioning

confidence: 99%

5G-Enabled Tactile Internet

Simsek

Aijaz

Dohler

et al. 2016

IEEE J. Select. Areas Commun.

697

430

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Abstract-The long-term ambition of the Tactile Internet is to enable a democratization of skill, and how it is being delivered globally. An integral part of this is to be able to transmit touch in perceived real-time, which is enabled by suitable robotics and haptics equipment at the edges, along with an unprecedented communications network. The fifth generation (5G) mobile communications systems will underpin this emerging Internet at the wireless edge. This paper presents the most important technology concepts which lay at the intersection of the larger Tactile Internet and the emerging 5G systems. The paper outlines the key technical requirements and architectural approaches for the Tactile Internet, pertaining to wireless access protocols, radio resource management aspects, next generation core networking capabilities, edge-cloud and edge-AI capabilities. The paper also highlights the economic impact of the Tactile Internet as well as a major shift in business models for the traditional telecommunications ecosystem.

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Section: B Ultra-reliable Edge-cloudmentioning

confidence: 99%

5G-Enabled Tactile Internet

Simsek

Aijaz

Dohler

et al. 2016

IEEE J. Select. Areas Commun.

697

430

View full text Add to dashboard Cite

show abstract

“…The Privacy Impact Assessment (PIA) to the cloud users is carried out by the Information Commissioner Office in United Kingdom (ICO) is responsible for using protocols and standards for accessing and using of the personal information in the cloud [16]. Data privacy protocols are related to the data and software transfer protocols, data processing protocols will influence the privacy of the data on cloud [17].…”

Section: Data Privacymentioning

confidence: 99%

An Efficent Security Farmework Design for Cloud Computing using Artificial Neural Networks

Negi¹,

Singh²,

Kumar³

2015

IJCA

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Cloud Computing is an alluring technology which provides elasticity, scalability and cost-efficiency over a network. In recent years, Data security is considered as the measure issue leading towards a hitch in the adoption of cloud computing. Data privacy, Integrity and trust issues are few severe security concerns leading to wide adoption of cloud computing. The proposed model has sufficient functionalities and capabilities which ensures the data security and integrity. The proposed Framework focuses on the encryption and decryption approach facilitating the cloud user with data security assurance. The proposed solution only talks about the increased security but does not talk about the performance. The solution also includes the functioning of forensic virtual machine, malware detection and real time monitoring of the system. In this paper, a survey of different security issues and threats are also presented. A data security framework also provides the transparency to both the cloud service provider and the cloud user thereby reducing data security threats in cloud environment.

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“…It may also have enabling effects, such as technology standards improving on technology interoperability and ensure security and privacy for end-users [58], which are all key to HMNs dealing with personal data. Standardisation efforts, such as HL7 in healthcare 3 , may, therefore, have a positive impact on both human and machine, as well as reducing the perceived risk.…”

Section: Regulationmentioning

confidence: 99%

The Interplay Between Human and Machine Agency

Pickering

Engen

Walland

2017

Lecture Notes in Computer Science

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Abstract. Human-machine networks affect many aspects of our lives: from sharing experiences with family and friends, knowledge creation and distance learning, and managing utility bills or providing feedback on retail items, to more specialised networks providing decision support to human operators and the delivery of health care via a network of clinicians, family, friends, and both physical and virtual social robots. Such networks rely on increasingly sophisticated machine algorithms, e.g., to recommend friends or purchases, to track our online activities in order to optimise the services available, and assessing risk to help maintain or even enhance people's health. Users are being offered ever increasing power and reach through these networks by machines which have to support and allow users to be able to achieve goals such as maintaining contact, making better decisions, and monitoring their health. As such, this comes down to a synergy between human and machine agency in which one is dependent in complex ways on the other. With that agency questions arise about trust, risk and regulation, as well as social influence and potential for computer-mediated self-efficacy. In this paper, we explore these constructs and their relationships and present a model based on review of the literature which seeks to identify the various dependencies between them. IntroductionA definition of agency based on the notion of non-deterministic behaviours [1] fails to recognise the increasing variety and complexity of human-machine networks 1 (HMNs) [2], the intention of technology designers [3], and active intervention by bots within social networks [4,5]. The concept of agency is particularly problematic in human-machine interactions [6]. Machine or material agency may be seen as automation, which originally required some tolerance from human agents [7]. But this is no longer true: technology can actively support human activity [8], and manifests increasingly complex interaction types [9]. Machine and human agency may not be the same and yet equally valid [10]; machine agency may be just "perceived autonomy" [11]; and it 1 In the following we use human-machine network and network interchangeably.certainly enables human agency [12]. Indeed, agency may well be becoming a social and group construct where both humans and machines play a part [13,14]; and used effectively, agency may even lead to innovative review of working practice [15].The enabling contribution of machine agents within a network may have an effect on self-efficacy. Bandura's original definition of self-efficacy as an individual's belief in their ability to be able to achieve a given objective [16][17][18] has also been applied to technology [19,20] and its acceptance [21]. There are, however, constraints on the support and positive contribution of technology to human self-efficacy, not least in terms of anxiety and suspicion around technology use [22,23]. This may be further exacerbated by increasing machine animism: it may not always be obvious what machines ar...

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Survey on interoperability, security, trust, privacy standardization of cloud computing

Cited by 20 publications

References 34 publications

5G-Enabled Tactile Internet

5G-Enabled Tactile Internet

An Efficent Security Farmework Design for Cloud Computing using Artificial Neural Networks

The Interplay Between Human and Machine Agency

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