Sandfly Security, headquartered in New Zealand (where they know sandflies all to well), refers to itself as such because they’re like sandflies: they relentlessly bug and discourage intruders, deploying like a swarm onto endpoints, then disappear only to return again and again. Theses swarms of checks make life miserable for hackers on Linux hosts while minimizing system impact. I’ve been following Sandfly’s Craig Rowland on Twitter for awhile with the intent of giving Sandlfy a look for toolsmith, and in the time I’ve kept watch, the offering has grown into a comprehensive and robust platform for Linux security.
[Read More]EDA with CISSM
toolsmith #150: Exploratory Data Analysis with University of Maryland's Center for International and Security Studies Cyber Attacks Database
Introduction
Exploratory data analysis (EDA) is a mission critical task underpinning the predominance of detection development and preparation for cybersecurity-centric machine learning. There are a number of actions that analysts can take to better understand a particular data set and ready it for more robust utilization. In the spirit of toolsmith, and celebration of this being the 150th issue since toolsmith’s inception in late 2006, consider what follows a collection of tools for your security data analytics tool kit.
[Read More]Abstract: Improved Security Detection & Response Via Optimized Alert Output - A Usability Study
Cut the noise, hone the signal
Once in a while, you get shown the light in the strangest of places if you look at it right ~Garcia/Hunter
I’ve been absent here for many months, but it has been with purpose. My dissertation, Improved Security Detection & Response via Optimized Alert Output: A Usability Study, is complete, and I’ve successfully defended it; pursuit of my PhD is complete, a new journey begins. I’ll begin with posting the abstract here. I’m in the midst of the dissertation publishing process, but once ready, it will be available in a fully open source capacity, no paywalls or subscription required. I’ll also share all the data (fully anonymized) as well as statistical routines and analysis in R. I’ll continue to post the related artifacts, including to full dissertation in via the R bookdown and thesisdown packages. I look forward to sharing this research with you while discussing it in a variety of forums and extending it to additional research opportunities. Stay tuned here for more.
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