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Detecting spacecraft anomalies using LSTMs and nonparametric dynamic thresholding
A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions
LSTM  Anomaly  Detection 
9 days ago by FredericJacobs
Anomaly Detection & Threat Hunting with Anomalize - SANS Internet Storm Center
Matt Dancho (@mdancho84). He created anomalize, "a tidy anomaly detection algorithm that’s time-based (built on top of tibbletime) and scalable from one to many time series," when a client asked Business Science to build an open source anomaly detection algorithm that suited their needs
dfir  cybersecurity  anomaly  sans  threathunting  r  analytics 
july 2018 by bwiese
DFIR and Threat Hunting: My 2017
In April of 2017 I was sitting at my desk, working, when I began having horrible pains in my chest, down the arteries in my neck as well as my arm. … The end result was that they didn’t find any signs of a heart attack, but they admitted me so that they could perform additional tests… stress test which also came back normal… sent me back home… pains came back .. literally put me on the floor a couple of times. I refused to go back to the hospital for them to keep me overnight and eventually tell me that nothing was wrong,

Called cardiologist due to wife’s persistence… scheduled catheterization. (Comment: is this a test or surgery?) identified multiple blockages with no option for stents. The pain was attributed to unstable angina and that I needed to have bypass surgery. When I asked why the stress test didn’t find anything I was told that the test tries to identify anomalous blood flow in different portions of the heart. All of the blood flow in my heart was abnormal, so it looked normal on the test. Anomaly detection failed to find what it should have… that’s just crazy!!!
medical  heart  anomaly 
february 2018 by bwiese

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