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

Junao Wang

dblp:188/5931 · DBLP profile ↗
← Back
2ranked-venue papers
0as first author
0since 2021 · last 2018
—ORCID · none

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

Security and privacy · 2

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
Digital forensics and information hiding · 61% Network security · 39%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Storage systems · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Digital forensics and information hiding › digital forensics
forensic analysis
0.622018
Dependence-Preserving Data Compaction for Scalable Forensic Analysis · USENIX Security Symposium 2018
SLEUTH: Real-time Attack Scenario Reconstruction from COTS Audit Data · USENIX Security Symposium 2017
Storage systems
data reduction
0.312018
Dependence-Preserving Data Compaction for Scalable Forensic Analysis · USENIX Security Symposium 2018
Digital forensics and information hiding › attack investigation
attack reconstruction
0.312017
SLEUTH: Real-time Attack Scenario Reconstruction from COTS Audit Data · USENIX Security Symposium 2017
Network security › intrusion detection and prevention
intrusion detection
0.312017
SLEUTH: Real-time Attack Scenario Reconstruction from COTS Audit Data · USENIX Security Symposium 2017
Network security › intrusion detection and prevention › intrusion detection › intrusion detection system › host-based intrusion detection
provenance-based intrusion detection
0.312017
SLEUTH: Real-time Attack Scenario Reconstruction from COTS Audit Data · USENIX Security Symposium 2017

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

provenance graph compaction · 0.7audit log analysis · 0.3
YearPublicationVenuePosition
2018 Dependence-Preserving Data Compaction for Scalable Forensic Analysis
Md Nahid Hossain, Junao Wang, R. Sekar 0001, Scott D. Stoller
USENIX Security Symposium2
2017 SLEUTH: Real-time Attack Scenario Reconstruction from COTS Audit Data
Md Nahid Hossain, Sadegh M. Milajerdi, Junao Wang, Birhanu Eshete, Rigel Gjomemo, R. Sekar 0001, Scott D. Stoller, V. N. Venkatakrishnan
USENIX Security Symposium3