Hadzovic Suada, Mrdovic Sasa, Radonjic Milutin
Faculty of Electrical Engineering, University of Sarajevo, 71000 Sarajevo, Bosnia and Herzegovina.
Faculty of Electrical Engineering, University of Montenegro, 81000 Podgorica, Montenegro.
Sensors (Basel). 2021 Mar 17;21(6):2093. doi: 10.3390/s21062093.
The Internet of Things (IoT) is a leading trend with numerous opportunities accompanied by advantages as well as disadvantages. Parallel with IoT development, significant privacy and personal data protection challenges are also growing. In this regard, the General Data Protection Regulation (GDPR) is often considered the world's strongest set of data protection rules and has proven to be a catalyst for many countries around the world. The concepts and interaction of the data controller, the joint controllers, and the data processor play a key role in the implementation of the GDPR. Therefore, clarifying the blurred IoT actors' relationships to determine corresponding responsibilities is necessary. Given the IoT transformation reflected in shifting computing power from cloud to the edge, in this research we have considered how these computing paradigms are affecting IoT actors. In this regard, we have introduced identification of IoT actors according to a new five-computing layer IoT model based on the cloud, fog, edge, mist, and dew computing. Our conclusion is that identifying IoT actors in the light of the corresponding IoT data manager roles could be useful in determining the responsibilities of IoT actors for their compliance with data protection and privacy rules.
物联网(IoT)是一个具有众多机遇的主要趋势,同时伴随着优势和劣势。与物联网发展并行的是,重大的隐私和个人数据保护挑战也在不断增加。在这方面,《通用数据保护条例》(GDPR)通常被认为是世界上最严格的数据保护规则集,并且已被证明是全球许多国家的催化剂。数据控制者、联合控制者和数据处理者的概念及互动在GDPR的实施中起着关键作用。因此,有必要厘清物联网参与者模糊的关系以确定相应责任。鉴于物联网转型体现为计算能力从云端向边缘转移,在本研究中,我们考虑了这些计算范式如何影响物联网参与者。在这方面,我们基于云、雾、边缘、薄雾和露水计算的新五层物联网模型引入了物联网参与者的识别。我们的结论是,根据相应的物联网数据管理者角色识别物联网参与者,对于确定物联网参与者遵守数据保护和隐私规则的责任可能是有用的。