Security Data Science Papers by Jason Trost
From the webpage:
Over the past several years I have collected and read many security research papers/slides and have started a small catalog of sorts. The topics of these papers range from intrusion detection, anomaly detection, machine learning/data mining, Internet scale data collection, malware analysis, and intrusion/breach reports. I figured this collection might useful to others. All links lead to PDFs hosted here.
I hope to clean this up (add author info, date, and publication) when I get some more time as well as adding some detailed notes I have on the various features, models, algorithms, and datasets used in many of these papers.
Here are some of my favorites (nice uses of machine learning, graph analytics, and/or anomaly detection to solve interesting security problems):
Nice looking collection but it doesn’t help a reader decide:
- Is this the latest word on this problem?
- What has this author written that is more recent? On this problem or others?
- Does this paper cover concept X?
- What does this paper say about concept X?
- What other papers are there on concept X?
- How does this paper fit into the domain as defined by it and other papers?
Not that I am picking on Jason. I do that same thing all the time.
Question: What information is the most useful, beyond location for a paper?
Serious question. I know what I look for related to an interesting paper. What do you look for?
I first saw this in a tweet by Adam Sealey.