Spatial-temporal anomaly detection using security visual analytics via entropy graph and eigen matrix

Matthew Sinda, Qi Liao

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Original language	English
Title of host publication	Spatial-temporal anomaly detection using security visual analytics via entropy graph and eigen matrix
Publisher	In Proceedings of the IEEE 15th International Conference on Dependable, Autonomic and Secure Computing(DASC), Orlando, Florida
State	Published - Nov 2017

Cite this

@inproceedings{f477ab37449d4c01b4eb5aabaa342fc5,

title = "Spatial-temporal anomaly detection using security visual analytics via entropy graph and eigen matrix",

author = "Matthew Sinda and Qi Liao",

year = "2017",

month = nov,

language = "English",

booktitle = "Spatial-temporal anomaly detection using security visual analytics via entropy graph and eigen matrix",

publisher = "In Proceedings of the IEEE 15th International Conference on Dependable, Autonomic and Secure Computing(DASC), Orlando, Florida",

}

Spatial-temporal anomaly detection using security visual analytics via entropy graph and eigen matrix. / Sinda, Matthew; Liao, Qi.
Spatial-temporal anomaly detection using security visual analytics via entropy graph and eigen matrix. In Proceedings of the IEEE 15th International Conference on Dependable, Autonomic and Secure Computing(DASC), Orlando, Florida, 2017.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Spatial-temporal anomaly detection using security visual analytics via entropy graph and eigen matrix

AU - Sinda, Matthew

AU - Liao, Qi

PY - 2017/11

Y1 - 2017/11

M3 - Conference contribution

BT - Spatial-temporal anomaly detection using security visual analytics via entropy graph and eigen matrix

PB - In Proceedings of the IEEE 15th International Conference on Dependable, Autonomic and Secure Computing(DASC), Orlando, Florida

ER -