A survey on Iot security: Application Areas, Security Threats, and Solution Architectures
VIII. IOT SECURITY USING EDGE COMPUTING
tải về 6.16 Mb. Chế độ xem pdf
|
thong-tin-so bao-cao-qpsk-1 - [cuuduongthancong.com]
- Điều hướng trang này:
- A. USING EDGE COMPUTING TO SECURE AND IMPROVE IOT
| VIII. IOT SECURITY USING EDGE COMPUTING
Edge and fog computing are both extensions of cloud com- puting which is widely used by various organizations. Cloud, fog and edge may appear similar but they constitute different layers of IoT applications. The main difference between cloud, fog and edge computing is the location of intelligence and power computation. The cloud is deployed at a much larger scale that needs to process huge amount of data and is situated at comparatively more distance from its users [192]. To overcome the problems faced by cloud computing, edge computing is used as a solution where a small edge server is placed between the user and the cloud/fog. Some processing activity is performed at the edge server, rather than the cloud. Edge computing architecture consists of edge devices, cloud server and fog nodes as shown in Figure 8 [193]. In an edge computing framework the computation and analysis power is provided at the edge itself. The devices in an application can create a network among themselves and can cooperate among each other to compute the data [63]. Consequently, a lot of data can be saved from going FIGURE 8: Edge Computing Architecture. outside the device, either to cloud or to fog nodes, and this can enhance the security of the IoT application. Edge computing also helps in providing low communication cost by preventing the need of moving all the data to the cloud [66]. A. USING EDGE COMPUTING TO SECURE AND IMPROVE IOT In regard to the attacks discussed in Section III, the solutions that edge computing provides or can provide to overcome these security threats are discussed below. 1. Data Breaches: In edge computing, all the data is stored and processed within the device or local net- work. There is no movement of the data from the data originator to the processor. This prevents the data from being in transit and thereby prevents the risk of data thefts and data breaches. In fog computing there is some movement of data from a device to fog layer and adversaries can take advantage of this movement [194]. 2. Data Compliance Issues: Many countries have strict regulatory acts to prevent data movement outside their boundaries, e.g., European Union’s GDPR (General Data Protection Regulation). Using edge computing, organizations can keep the data within their bor- ders and ensure compliance with data sovereignity laws [195]. 3. Safety Issues: With the increase in the deployment of cyber-physical systems, security and safety are consid- ered as integral issues. If there is even a little delay in responses, then that may lead to physical safety issues. For example, if the sensors in a car predict that a crash is about to happen, then the airbags have to be deployed immediately. If the sensors completely rely on sending all the data to the cloud and waiting for the response from the cloud to perform any action, then that may be too late to prevent injuries or loss of life. Surveillance cameras can also be empowered using edge computing and they can themselves analyze the anomalies and can VOLUME x, 2019 17 This work is licensed under a Creative Commons Attribution 3.0 License. For more information, see http://creativecommons.org/licenses/by/3.0/. This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOI 10.1109/ACCESS.2019.2924045, IEEE Access Vikas Hassija et al.: A Survey on IoT Security: Application Areas, Security Threats, and Solution Architectures send the summarized and suspected data to the data centers to achieve faster response times. 4. Bandwidth Issues: IoT application generate a lot of data at very high rate. Most of this data is raw and of relatively low-value. Sending all the data to the cloud involves a lot of bandwidth cost as well, along with the security challenges of data movement. If edge computing is used, then a lot of data cleaning and aggregation can be done at the edge nodes and only the summarized data, if required, needs to be sent to the cloud [196]. tải về 6.16 Mb. Chia sẻ với bạn bè của bạn:
|