图 书 馆
TINET:通过知识转移学习不变网络TINET: Learning Invariant Networks via Knowledge Transfer |
|
| 课程网址: | http://videolectures.net/kdd2018_luo_tinet/ |
| 主讲教师: | Chen Luo |
| 开课单位: | 莱斯大学 |
| 开课时间: | 2018-11-23 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | The latent behavior of an information system that can exhibit extreme events, such as system faults or cyber-attacks, is complex. Recently, the invariant network has shown to be a powerful way of characterizing complex system behaviors. Structures and evolutions of the invariance network, in particular, the vanishing correlations, can shed light on identifying causal anomalies and performing system diagnosis. However, due to the dynamic and complex nature of real-world information systems, learning a reliable invariant network in a new environment often requires continuous collecting and analyzing the system surveillance data for several weeks or even months. Although the invariant networks learned from old environments have some common entities and entity relationships, these networks cannot be directly borrowed for the new environment due to the domain variety problem. To avoid the prohibitive time and resource consuming network building process, we propose TINET, a knowledge transfer based model for accelerating invariant network construction. In particular, we first propose an entity estimation model to estimate the probability of each source domain entity that can be included in the final invariant network of the target domain. Then, we propose a dependency construction model for constructing the unbiased dependency relationships by solving a two-constraint optimization problem. Extensive experiments on both synthetic and real-world datasets demonstrate the effectiveness and efficiency of TINET. We also apply TINET to a real enterprise security system for intrusion detection. TINET achieves superior detection performance at least 20 days lead-lag time in advance with more than 75% accuracy. |
| 关 键 词: | 复杂系统行为的有力方法; 系统故障或网络攻击; 分析系统监视数据; 加速不变网络构建 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2023-01-28：cyh |
| 最后编审: | 2023-01-28：cyh |
| 阅读次数: | 42 |