Framework for privacy preservation in iot through classification and access control mechanisms

Kaliya, Neha; Hussain, Muzzammil

doi:10.1109/i2ct.2017.8226166

Cited by 10 publications

(10 citation statements)

References 6 publications

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“…Data privacy has been defined several different ways, reflecting divergent perspectives. For example some researchers [15][16][17]23,25,43,45,51,52,54,[58][59][60][61][62]65,68,[70][71][72][73][74][75][76][77][78][79][80][81][82] have focused on data privacy in terms confidential data protection and provided a legal framework with built-in privacy standards, including PbD. Semantha et al [23] analyzed the contemporary PbD frameworks in the health systems to identify the key limitations.…”

Section: Privacy In Iot-cloud-based E-health Systemsmentioning

confidence: 99%

“…All processing must fall within one of six legally defined categories specified in the GDPR in order to remain compliant with the law. These categories are consent [16,43,45,59,70,75,79,81], contract [15,25,45,62,81,82], public task [15,23,25,43,58,81], vital interest [15,23], legitimate interest [43] or legal requirement [17,52,54,65,70,77,79,82]. Many researchers have acknowledged the importance of the GDPR.…”

Section: Privacy In Iot-cloud-based E-health Systemsmentioning

confidence: 99%

“…• Access Control: the ability to access a computer system can be controlled at a hardware level by using a special access device such as a USB thumb drive with a built-in security/authentication key. Access control can also be addressed at the operating system level [6,18,26,33,50,61,65,71,79,80]. • Secure Communications: encryption that utilizes robust algorithms is required to secure system communications.…”

mentioning

confidence: 99%

“…Multifunction, multilevel and high- Robust security and privacy measures are essential for the future expansion and sustainability of the cloud computing industry. The most effective security and privacy measure for cloud computing is strict access control as used in Kaliya and Hussain [79,80] presented framework for privacy preservation in IoT through classification and access control mechanism. They indicated security and privacy of user data is a serious issue in IoT that classifies data into a structural format based on its and user and access control lists are created.…”

mentioning

confidence: 99%

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Security and Privacy in IoT-Cloud-Based e-Health Systems—A Comprehensive Review

2020

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When the Internet and other interconnected networks are used in a health system, it is referred to as “e-Health.” In this paper, we examined research studies from 2017–2020 to explore the utilization of intelligent techniques in health and its evolution over time, particularly the integration of Internet of Things (IoT) devices and cloud computing. E-Health is defined as “the ability to seek, find, understand and appraise health information derived from electronic sources and acquired knowledge to properly solve or treat health problems. As a repository for health information as well as e-Health analysis, the Internet has the potential to protect consumers from harm and empower them to participate fully in informed health-related decision-making. Most importantly, high levels of e-Health integration mitigate the risk of encountering unreliable information on the Internet. Various research perspectives related to security and privacy within IoT-cloud-based e-Health systems are examined, with an emphasis on the opportunities, benefits and challenges of the implementation such systems. The combination of IoT-based e-Health systems integrated with intelligent systems such as cloud computing that provide smart objectives and applications is a promising future trend.

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Section: Privacy In Iot-cloud-based E-health Systemsmentioning

confidence: 99%

Section: Privacy In Iot-cloud-based E-health Systemsmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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Security and Privacy in IoT-Cloud-Based e-Health Systems—A Comprehensive Review

2020

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“…An approach that deals with both privacy and access control can be seen in paper [20]. Here, the authors use classification of data to ensure access control and through it, privacy.…”

Section: Solutions For Privacy In Iotmentioning

confidence: 99%