Vulnerability discovery and mitigation in pharmaceutical continuous manufacturing networks

物联网联网设备和传感器在工业中的使用越来越多，导致人们担心添加如此多尚未得到适当研究的攻击向量会带来安全问题。我们希望找到方法来检测广泛的工业网络中的安全漏洞，重点是连续制造，并使用机器学习来减轻系统中恶意实体对处理的整体数据的影响，并找到方法来验证数据和过程的完整性。

Increasing use of Internet of Things networked devices and sensors in industry leads to concerns about the security implications of adding so many attack vectors that have not been properly studied. We wish to find ways to detect security vulnerabilities in wide ranging industrial networks, with a focus on continuous manufacturing, and also to use machine learning to mitigate the impact of malicious entities in the system on the overall data processed and find ways to verify the integrity of data and processes in the presence of malicious actors.