BOXMATE | Mining Sandboxes for Automatic App Protection

Summary
Today’s industry is more vulnerable to cyberattacks than ever. The biggest threat comes from advanced
persistent threats that targets the sensitive data of a specific company. Such a threat may come along as
an innocuous app that starts its malicious behavior only when the mobile logs into the corporate network.
At the same time, such threats can be made undetectable through testing or code analysis.
The ERC SPECMATE project has developed a technology named BOXMATE that protects against unexpected
changes of app behavior and thus drastically reduces the attack surface of mobile applications.
The key idea is to mine app behavior by executing generated tests, systematically exploring the program’s
accesses to sensitive data. During production, the app then is placed in a sandbox, which prohibits
accesses not seen during testing.
This combination of test generation and sandboxing effectively protects against advanced persistent
threats. To access sensitive data during production, the app already must do so during testing—where
tracing makes it easy to discover and assess. BOXMATE neither does not need to collect user data: All
app behavior is assessed during testing already. Finally, BOXMATE requires no knowledge about source
or binary code, and thus easily handles arbitrarily obfuscated or obscure third-party apps. BOXMATE is
currently being patented worldwide.
We want to turn the BOXMATE approach into a full mobile security solution for corporate and end
users. This proposal aims at producing a full-fledged prototype that can be demonstrated to potential
customers, most notably app vendors and mobile infrastructure providers; as well as developing an
adequate marketing strategy exploring and responding to the needs of the market.
This proposal is fueled by the principal investigator, Andreas Zeller, one of the world’s leading experts
in software test generation and specification mining.
Unfold all
/
Fold all
More information & hyperlinks
Web resources: https://cordis.europa.eu/project/id/737566
Start date: 01-09-2017
End date: 28-02-2019
Total budget - Public funding: 150 000,00 Euro - 150 000,00 Euro
Cordis data

Original description

Today’s industry is more vulnerable to cyberattacks than ever. The biggest threat comes from advanced
persistent threats that targets the sensitive data of a specific company. Such a threat may come along as
an innocuous app that starts its malicious behavior only when the mobile logs into the corporate network.
At the same time, such threats can be made undetectable through testing or code analysis.
The ERC SPECMATE project has developed a technology named BOXMATE that protects against unexpected
changes of app behavior and thus drastically reduces the attack surface of mobile applications.
The key idea is to mine app behavior by executing generated tests, systematically exploring the program’s
accesses to sensitive data. During production, the app then is placed in a sandbox, which prohibits
accesses not seen during testing.
This combination of test generation and sandboxing effectively protects against advanced persistent
threats. To access sensitive data during production, the app already must do so during testing—where
tracing makes it easy to discover and assess. BOXMATE neither does not need to collect user data: All
app behavior is assessed during testing already. Finally, BOXMATE requires no knowledge about source
or binary code, and thus easily handles arbitrarily obfuscated or obscure third-party apps. BOXMATE is
currently being patented worldwide.
We want to turn the BOXMATE approach into a full mobile security solution for corporate and end
users. This proposal aims at producing a full-fledged prototype that can be demonstrated to potential
customers, most notably app vendors and mobile infrastructure providers; as well as developing an
adequate marketing strategy exploring and responding to the needs of the market.
This proposal is fueled by the principal investigator, Andreas Zeller, one of the world’s leading experts
in software test generation and specification mining.

Status

CLOSED

Call topic

ERC-PoC-2016

Update Date

27-04-2024
Images
No images available.
Geographical location(s)
Structured mapping
Unfold all
/
Fold all
Horizon 2020
H2020-EU.1. EXCELLENT SCIENCE
H2020-EU.1.1. EXCELLENT SCIENCE - European Research Council (ERC)
ERC-2016
ERC-2016-PoC
ERC-PoC-2016 ERC-Proof of Concept-2016