Christian Fritz 0002

dblp:38/6-2 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2014
—ORCID · unresolved

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

Software engineering, systems software and programming languages · 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
Systems and software security · 83% Web and mobile security · 8% Privacy and data protection · 8%
Software engineering, system software, and programming languages
1 paper
Program analysis · 100%

Topics — the 8 heaviest of 8, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Systems and software security › information flow tracking › taint analysis
android taint analysis
0.212014
FlowDroid: precise context, flow, field, object-sensitive and lifecycle-aware taint analysis for Android apps · PLDI 2014
Systems and software security › information flow tracking › taint analysis
static taint analysis
0.212014
FlowDroid: precise context, flow, field, object-sensitive and lifecycle-aware taint analysis for Android apps · PLDI 2014
Systems and software security › information flow tracking
taint analysis
0.212014
FlowDroid: precise context, flow, field, object-sensitive and lifecycle-aware taint analysis for Android apps · PLDI 2014
Program analysis › static analysis › interprocedural analysis
context-sensitive analysis
0.212014
FlowDroid: precise context, flow, field, object-sensitive and lifecycle-aware taint analysis for Android apps · PLDI 2014
Program analysis › data flow analysis
flow-sensitive analysis
0.212014
FlowDroid: precise context, flow, field, object-sensitive and lifecycle-aware taint analysis for Android apps · PLDI 2014
Program analysis
static analysis
0.212014
FlowDroid: precise context, flow, field, object-sensitive and lifecycle-aware taint analysis for Android apps · PLDI 2014
Privacy and data protection › information leakage
data leakage detection
0.112014
FlowDroid: precise context, flow, field, object-sensitive and lifecycle-aware taint analysis for Android apps · PLDI 2014
Web and mobile security
mobile application security
0.112014
FlowDroid: precise context, flow, field, object-sensitive and lifecycle-aware taint analysis for Android apps · PLDI 2014

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

static taint analysis · 0.4object sensitivity · 0.4flow sensitivity · 0.4context sensitivity · 0.4
YearPublicationVenuePosition
2014 FlowDroid: precise context, flow, field, object-sensitive and lifecycle-aware taint analysis for Android apps
abstract
Today's smartphones are a ubiquitous source of private and confidential data. At the same time, smartphone users are plagued by carelessly programmed apps that leak important data by accident, and by malicious apps that exploit their given privileges to copy such data intentionally. While existing static taint-analysis approaches have the potential of detecting such data leaks ahead of time, all approaches for Android use a number of coarse-grain approximations that can yield high numbers of missed leaks and false alarms.
Steven Arzt, Siegfried Rasthofer, Christian Fritz 0002, Eric Bodden, Alexandre Bartel, Jacques Klein, Yves Le Traon, Damien Octeau, Patrick D. McDaniel
PLDI3