Biblio

Filters: Author is Xu, Bingfeng  [Clear All Filters]
2023-06-09
Zhao, Junjie, Xu, Bingfeng, Chen, Xinkai, Wang, Bo, He, Gaofeng.  2022.  Analysis Method of Security Critical Components of Industrial Cyber Physical System based on SysML. 2022 Tenth International Conference on Advanced Cloud and Big Data (CBD). :270—275.
To solve the problem of an excessive number of component vulnerabilities and limited defense resources in industrial cyber physical systems, a method for analyzing security critical components of system is proposed. Firstly, the components and vulnerability information in the system are modeled based on SysML block definition diagram. Secondly, as SysML block definition diagram is challenging to support direct analysis, a block security dependency graph model is proposed. On this basis, the transformation rules from SysML block definition graph to block security dependency graph are established according to the structure of block definition graph and its vulnerability information. Then, the calculation method of component security importance is proposed, and a security critical component analysis tool is designed and implemented. Finally, an example of a Drone system is given to illustrate the effectiveness of the proposed method. The application of this method can provide theoretical and technical support for selecting key defense components in the industrial cyber physical system.
2022-04-13
He, Gaofeng, Si, Yongrui, Xiao, Xiancai, Wei, Qianfeng, Zhu, Haiting, Xu, Bingfeng.  2021.  Preventing IoT DDoS Attacks using Blockchain and IP Address Obfuscation. 2021 13th International Conference on Wireless Communications and Signal Processing (WCSP). :1—5.
With the widespread deployment of Internet of Things (IoT) devices, hackers can use IoT devices to launch large-scale distributed denial of service (DDoS) attacks, which bring great harm to the Internet. However, how to defend against these attacks remains to be an open challenge. In this paper, we propose a novel prevention method for IoT DDoS attacks based on blockchain and obfuscation of IP addresses. Our observation is that IoT devices are usually resource-constrained and cannot support complicated cryptographic algorithms such as RSA. Based on the observation, we employ a novel authentication then communication mechanism for IoT DDoS attack prevention. In this mechanism, the attack targets' IP addresses are encrypted by a random security parameter. Clients need to be authenticated to obtain the random security parameter and decrypt the IP addresses. In particular, we propose to authenticate clients with public-key cryptography and a blockchain system. The complex authentication and IP address decryption operations disable IoT devices and thus block IoT DDoS attacks. The effectiveness of the proposed method is analyzed and validated by theoretical analysis and simulation experiments.