| مشخصات مقاله | |
| ترجمه عنوان مقاله | تحلیل عوامل موفق در کاهش ریسک های حریم خصوصی در دستگاه های اینترنت اشیا |
| عنوان انگلیسی مقاله | Analysis of critical success factors to mitigate privacy risks in IoT Devices |
| انتشار | مقاله سال 2022 |
| تعداد صفحات مقاله انگلیسی | 8 صفحه |
| هزینه | دانلود مقاله انگلیسی رایگان میباشد. |
| پایگاه داده | نشریه الزویر |
| نوع نگارش مقاله |
مقاله پژوهشی (Research Article) |
| مقاله بیس | این مقاله بیس میباشد |
| نوع مقاله | ISI |
| فرمت مقاله انگلیسی | |
| شناسه ISSN | 1877-0509 |
| فرضیه | ندارد |
| مدل مفهومی | ندارد |
| پرسشنامه | ندارد |
| متغیر | ندارد |
| رفرنس | دارد |
| رشته های مرتبط | مهندسی کامپیوتر، مهندسی فناوری اطلاعات |
| گرایش های مرتبط | امنیت اطلاعات، هوش مصنوعی، اینترنت و شبکه های گسترده |
| نوع ارائه مقاله |
ژورنال |
| مجله | پروسیدیای علوم کامپیوتر – Procedia Computer Science |
| دانشگاه | National University of Ireland, Galway |
| کلمات کلیدی | حریم خصوصی، اینترنت اشیا، دستگاه های هوشمند، کاربر محور، GDPR، رضایت صریح، مخفی بودن، شفافیت، سادگی، کارت امتیازی حریم خصوصی |
| کلمات کلیدی انگلیسی | Privacy, Internet of Things (IoT); Smart Devices; User-Centric; GDPR; Explicit Consent; Anonymity; Transparency; Simplicity; Privacy Scorecard |
| شناسه دیجیتال – doi |
https://doi.org/10.1016/j.procs.2021.12.005 |
| کد محصول | |
| وضعیت ترجمه مقاله | ترجمه آماده این مقاله موجود نمیباشد. میتوانید از طریق دکمه پایین سفارش دهید. |
| دانلود رایگان مقاله | دانلود رایگان مقاله انگلیسی |
| سفارش ترجمه این مقاله | سفارش ترجمه این مقاله |
| فهرست مطالب مقاله: |
| Abstract Keywords References |
| بخشی از متن مقاله: |
| Abstract This research aims to ascertain how to effectively mitigate privacy risks in IoT devices. A user-centric approach is employed to increase user control and flexibility. After a detailed analysis of the extant literature, critical success factors that are lauded to alleviate risks in IoT devices were synthesised and collated. These include anonymity, transparency, simplicity, explicit consent and GDPR. An instrument was developed based on these factors to ascertain which of these aspects are considered to be the most effective. Data were collected and analysed from 341 IoT device users, data protection/IT professionals, and IoT device manufacturers in the industry. Findings from this analysis reveal that transparency is the most important critical success factor, followed by GDPR, anonymity, explicit consent, and simplicity, respectively. Based on these findings, a self-assessment scorecard was developed to enable analysts and decision-makers to assess their current performance against best practices and to effectively mitigate privacy risks in IoT devices. Introduction Privacy is widely seen as a significant barrier to the deployment of internet of things (IoT) technologies [1]. Users are particularly concerned about the recording of their private activities [2], and the collection and sharing of their personal data [3]. Users of IoT medical devices are especially concerned about the privacy threats associated with the collection and sharing of personal data such as the user’s dietary habits, exercise information, running routes and sleep patterns with third parties [4]. Safeguarding privacy becomes increasingly challenging when IoT medical devices (such as smart test kits, smart assistive technologies, and smart meters/monitors) are utilized at home [5]. Privacy is subjective in comparison to security, which is more unbiased and less debatable, as it is easier to measure and assess security practices than privacy practices [6]. For example, the type of encryption existing on the device or in the cloud is quantifiable, whereas, in the case of privacy, there is a lot of obscurity/complexity. Consequently, there is a need for relevant privacy protection legislation [7], policies [8], approaches [9] and practice [10]. |