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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.

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

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.