Name
Abstract | ||
|---|---|---|
Edge computing network refers to a new paradigm of big data computing network on the edge side near the user or Internet of things, data source side, fusion network, computing, storage, and business core capabilities. The edge computing network is driven by the development of cloud computing and the Internet of things, its core is to face the massive uplink monitoring and acquisition produced by the intelligent sensing equipment, and the downlink decision control big data. This paper solves the problem of low performance of data computing in a centralized cloud computing model through edge side big data storage and computing. Compared with the traditional cloud computing network, the edge computing network has more terminal types, more frequent real-time data exchange, more complex transmission network technology system, and a higher degree of intelligent interconnection of business systems. However, the edge computing network is ubiquitous, and the open characteristics transmit the network security risk to every business link of the system, which faces severe security protection challenges. This paper focuses on the requirements of high real-time and high continuity of edge computing networks, and faces the dual constraints of the hybrid characteristics of edge computing networks and the uncertainty of new network attack characteristics, the present situation of active defense technologies such as detection, circumvention, deception, control and so on for edge computing network is summarized before serious damage is caused by edge computing network. This paper analyzes the security challenges faced by the existing technologies from four levels of terminal domain, data domain, network domain and system domain, and puts forward the urgent research trend. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/BigDataService.2019.00042 | 2019 IEEE Fifth International Conference on Big Data Computing Service and Applications (BigDataService) |
Keywords | Field | DocType |
edge computing,active safety defense,safety risk monitoring | Edge computing,Data mining,Business system planning,Data exchange,Data domain,Computer science,Network security,Computer network,Enhanced Data Rates for GSM Evolution,Big data,Cloud computing | Conference |
ISBN | Citations | PageRank |
978-1-7281-0060-9 | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hanrui Zhang | 1 | 0 | 1.01 |
| Li Qian-Mu | 2 | 33 | 14.78 |
| Yong Qi | 3 | 0 | 1.01 |
| Jun Hou | 4 | 4 | 4.14 |
| Yaozong Liu | 5 | 0 | 1.69 |