Automatic graph-based detection of potential security threats
Номер патента: EP4406193A1
Опубликовано: 31-07-2024
Автор(ы): Anisha MAZUMDER, Daniel Lee Mace, Haijun ZHAI, Seetharaman Harikrishnan, Yogesh K. ROY
Принадлежит: Microsoft Technology Licensing LLC
Опубликовано: 31-07-2024
Автор(ы): Anisha MAZUMDER, Daniel Lee Mace, Haijun ZHAI, Seetharaman Harikrishnan, Yogesh K. ROY
Принадлежит: Microsoft Technology Licensing LLC
Реферат: Techniques are described herein that are capable of performing automatic graph-based detection of potential security threats. A Bayesian network is initialized using an association graph to establish connections among network nodes in the Bayesian network. The network nodes are grouped among clusters that correspond to respective intents. Patterns in the Bayesian network are identified. At least one redundant connection, which is redundant with regard to one or more other connections, is removed from the patterns. Scores are assigned to the respective patterns in the Bayesian network, based on knowledge of historical patterns and historical security threats, such that each score indicates a likelihood of the respective pattern to indicate a security threat. An output graph is automatically generated. The output graph includes each pattern that has a score that is greater than or equal to a score threshold. Each pattern in the output graph represents a potential security threat.
Automatic graph-based detection of potential security threats
Номер патента: US20240211591A1. Автор: Seetharaman Harikrishnan,Daniel Lee Mace,Anisha MAZUMDER,Haijun ZHAI,Yogesh K. ROY. Владелец: Microsoft Technology Licensing LLC. Дата публикации: 2024-06-27.