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Sean Peisert
Researcher at Lawrence Berkeley National Laboratory
Publications - 128
Citations - 1779
Sean Peisert is an academic researcher from Lawrence Berkeley National Laboratory. The author has contributed to research in topics: Computer science & Intrusion detection system. The author has an hindex of 21, co-authored 118 publications receiving 1396 citations. Previous affiliations of Sean Peisert include University of California & Hiroshima University.
Papers
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Proceedings ArticleDOI
We have met the enemy and he is us
TL;DR: A precise definition of insider threat is presented, and it is shown how the definition enables an analysis of the set of problems traditionally lumped into \the insider threat, and how a generalization of the Role-Based Access Control model that allows any attributes to define a group is applied.
Journal ArticleDOI
Machine learning for metabolic engineering: A review.
Christopher E. Lawson,Jose Manuel Martí,Tijana Radivojevic,Sai Vamshi R. Jonnalagadda,Reinhard Gentz,Nathan J. Hillson,Sean Peisert,Joonhoon Kim,Blake A. Simmons,Christopher J. Petzold,Steven W. Singer,Aindrila Mukhopadhyay,Deepti Tanjore,Joshua G. Dunn,Hector Garcia Martin +14 more
TL;DR: This review offers an introduction to this discipline in terms that are relatable to metabolic engineers, as well as providing in-depth illustrative examples leveraging omics data and improving production.
Journal ArticleDOI
Anomaly Detection Using Optimally Placed $\mu \text{PMU}$ Sensors in Distribution Grids
Mahdi Jamei,Anna Scaglione,Ciaran Roberts,Emma Stewart,Sean Peisert,Chuck McParland,Alex McEachern +6 more
TL;DR: A hierarchical architecture for monitoring the grid is proposed and a set of analytics and sensor fusion primitives for the detection of abnormal behavior in the control perimeter are established.
Journal ArticleDOI
Analysis of Computer Intrusions Using Sequences of Function Calls
TL;DR: The value of analyzing sequences of function calls for forensic analysis, which looks for the presence of unexpected events but also the absence of expected events, is demonstrated.
Book ChapterDOI
BChain: Byzantine Replication with High Throughput and Embedded Reconfiguration
TL;DR: The design and implementation of BChain is described, a Byzantine fault-tolerant state machine replication protocol, which performs comparably to other modern protocols in fault-free cases, but in the face of failures can also quickly recover its steady state performance.