Name
Abstract | ||
|---|---|---|
Cloud manufacturing (CM) is an open and service-oriented platform that virtualizes distributed design, machining, and assembly resources together in order to provide a seamless, adaptive, and high quality transaction of manufacturing procedures. Despite the results in resource discovery and planning, the research in robustness and security of the systems falls behind in many aspects. The lack of such knowledge puts a serious challenge for the wide deployment and adoption of cloud manufacturing which is naturally connected to the Internet and exposed to cyber attacks. To bridge this gap, we study a specific type of equipment contention attack in cloud manufacturing. Through requesting extra shares of scarce resources, an attacker can gain advantage in competition with other users and reduce the efficiency of the overall system. We design a mechanism to mitigate such attacks through measuring the remaining machining capabilities in the cloud. The cloud administrator can control cost difference between the attacker and subsequent service requesters. Simulations of a mid-size city manufacturing cloud are conducted and the results show that our approach will incur low increases in cost for benign users while discouraging the equipment contention attacks. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/ICC.2019.8761810 | IEEE International Conference on Communications |
Field | DocType | ISSN |
Cloud manufacturing,Scarcity,Software deployment,Computer science,Computer network,Machining,Robustness (computer science),Database transaction,Cloud computing,The Internet | Conference | 1550-3607 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Liping Xie | 1 | 160 | 23.74 |
| Weichao Wang | 2 | 500 | 33.87 |
| Yu Wang | 3 | 379 | 29.73 |