Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Louis F. DeKoven

dblp:205/2058 · DBLP profile ↗
← Back
2ranked-venue papers
2as first author
0since 2021 · last 2019
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 2 · 2 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Network and information security
2 papers
Systems and software security · 36% Authentication and access control · 32% Network security · 32%
Computer networks
1 paper
Network measurement and analytics · 100%

Topics — the 1 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Network measurement and analytics
security measurement
0.412019
Measuring Security Practices and How They Impact Security · Internet Measurement Conference 2019

Methods — techniques the papers use, named apart from their topics

passive monitoring · 0.8
YearPublicationVenuePosition
2019 Measuring Security Practices and How They Impact Security
abstract
Security is a discipline that places significant expectations on lay users. Thus, there are a wide array of technologies and behaviors that we exhort end users to adopt and thereby reduce their security risk. However, the adoption of these "best practices" --- ranging from the use of antivirus products to actively keeping software updated --- is not well understood, nor is their practical impact on security risk well-established. This paper explores both of these issues via a large-scale empirical measurement study covering approximately 15,000 computers over six months. We use passive monitoring to infer and characterize the prevalence of various security practices in situ as well as a range of other potentially security-relevant behaviors. We then explore the extent to which differences in key security behaviors impact real-world outcomes (i.e., that a device shows clear evidence of having been compromised).
Louis F. DeKoven, Audrey Randall, Ariana Mirian, Gautam Akiwate, Ansel Blume, Lawrence K. Saul, Aaron Schulman, Geoffrey M. Voelker, Stefan Savage
Internet Measurement Conference1
2018 Following Their Footsteps: Characterizing Account Automation Abuse and Defenses
Louis F. DeKoven, Trevor Pottinger, Stefan Savage, Geoffrey M. Voelker, Nektarios Leontiadis
Internet Measurement Conference1