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
Demo Data from VLDB 2026 / reviewers in the wild / expert

Kyle Cook

dblp:178/3642 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
0since 2021 · last 2017
—ORCID · none

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

Security and privacy · 1

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
1 paper
Malware analysis · 77% Systems and software security · 23%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Malware analysis
malware defense		 0.312017
POSTER: Evaluating Reflective Deception as a Malware Mitigation Strategy · CCS 2017

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

reflective deception · 0.3
YearPublicationVenuePosition
2017 POSTER: Evaluating Reflective Deception as a Malware Mitigation Strategy
abstract
Reflective Deception is a class of deception techniques designed to disrupt cyber attacks by confusing and frustrating the adversary. The technique is effective even in the absence of any detective capability. This poster will describe Reflective Deception and propose a testing platform for evaluating its efficacy and performance in the mitigation malware.
Thomas Shaw, James Arrowood, Michael Kvasnicka, Shay Taylor, Kyle Cook, John Hale
 CCS5