A Graph Embedding Approach to User Behavior Anomaly Detection

Modell, Alexander; Larson, Jonathan; Turcotte, Melissa; Bertiger, Anna

doi:10.1109/bigdata52589.2021.9671423

Cited by 4 publications

(1 citation statement)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Graph embedding describes a family of tools which represent the nodes of a graph (or network), in a vector space. Applications include exploratory analyses such as clustering [20,31] and visualization [14], and predictive tasks such as classification [28] and anomaly detection [18]. Of significant current interest is spectral graph embedding, in which the principal eigenvectors of a matrix representation, such as the adjacency or Laplacian matrix, provide these representations.…”

mentioning

confidence: 99%

Spectral embedding and the latent geometry of multipartite networks

Modell¹,

Gallagher²,

Cape³

et al. 2022

Preprint

Self Cite

View full text Add to dashboard Cite

mentioning

confidence: 99%

Spectral embedding and the latent geometry of multipartite networks

Modell¹,

Gallagher²,

Cape³

et al. 2022

Preprint

Self Cite

View full text Add to dashboard Cite

Behavioral authentication for security and safety

Wang,

Tang,

Zhu

et al. 2024

Security and Safety

View full text Add to dashboard Cite

The issues of both system security and safety can be dissected integrally from the perspective of behavioral \emph{appropriateness}. That is, a system is secure or safe can be judged by whether the behavior of certain agent(s) is \emph{appropriate} or not. Specifically, a so-called \emph{appropriate behavior} involves the right agent performing the right actions at the right time under certain conditions. Then, according to different levels of appropriateness and degrees of custodies, behavioral authentication can be graded into three levels, i.e., the authentication of behavioral \emph{Identity}, \emph{Conformity}, and \emph{Benignity}. In a broad sense, for the security and safety issue, behavioral authentication is not only an innovative and promising method due to its inherent advantages but also a critical and fundamental problem due to the ubiquity of behavior generation and the necessity of behavior regulation in any system. By this classification, this review provides a comprehensive examination of the background and preliminaries of behavioral authentication. It further summarizes existing research based on their respective focus areas and characteristics. The challenges confronted by current behavioral authentication methods are analyzed, and potential research directions are discussed to promote the diversified and integrated development of behavioral authentication.

show abstract