Matches in SemOpenAlex for { <https://semopenalex.org/work/W2078197322> ?p ?o ?g. }
Showing items 1 to 93 of
93
with 100 items per page.
- W2078197322 abstract "Today’s smartphone users face a security dilemma: many apps they install operate on privacy-sensitive data, althoughthey might originate from developers whose trustworthiness is hard to judge. Researchers have addressed the problem with more and more sophisticated static and dynamic analysis tools as an aid to assess how apps use private user data. Those tools, however, rely on the manual configuration of lists of sources of sensitive data as well as sinks which might leak data to untrusted observers. Such lists are hard to come by.We thus propose SUSI, a novel machine-learning guided approach for identifying sources and sinks directly from the code of any Android API. Given a training set of hand-annotated sources and sinks, SUSI identifies other sources and sinks in the entire API. To provide more fine-grained information, SUSI further categorizes the sources (e.g., unique identifier, location information, etc.) and sinks (e.g., network, file, etc.).For Android 4.2, SUSI identifies hundreds of sources and sinks with over 92% accuracy, many of which are missed by current information-flow tracking tools. An evaluation of about 11,000 malware samples confirms that many of these sources and sinks are indeed used. We furthermore show that SUSI can reliably classify sources and sinks even in new, previously unseen Android versions and components like Google Glass or the Chromecast API." @default.
- W2078197322 created "2016-06-24" @default.
- W2078197322 creator A5026715017 @default.
- W2078197322 creator A5040707552 @default.
- W2078197322 creator A5076678278 @default.
- W2078197322 date "2014-01-01" @default.
- W2078197322 modified "2023-10-06" @default.
- W2078197322 title "A Machine-learning Approach for Classifying and Categorizing Android Sources and Sinks" @default.
- W2078197322 cites W124941384 @default.
- W2078197322 cites W1522939654 @default.
- W2078197322 cites W1680392829 @default.
- W2078197322 cites W1915915253 @default.
- W2078197322 cites W1963971515 @default.
- W2078197322 cites W1966023382 @default.
- W2078197322 cites W1972796262 @default.
- W2078197322 cites W1982235649 @default.
- W2078197322 cites W1988036170 @default.
- W2078197322 cites W1994588724 @default.
- W2078197322 cites W2058180826 @default.
- W2078197322 cites W2061603028 @default.
- W2078197322 cites W2065085008 @default.
- W2078197322 cites W2087804676 @default.
- W2078197322 cites W2089923329 @default.
- W2078197322 cites W2091540464 @default.
- W2078197322 cites W2113709047 @default.
- W2078197322 cites W2114275288 @default.
- W2078197322 cites W2125011234 @default.
- W2078197322 cites W2125055259 @default.
- W2078197322 cites W2126242334 @default.
- W2078197322 cites W2133990480 @default.
- W2078197322 cites W2140095007 @default.
- W2078197322 cites W2153542583 @default.
- W2078197322 cites W2156744053 @default.
- W2078197322 cites W2166743230 @default.
- W2078197322 cites W2486916996 @default.
- W2078197322 cites W2489768546 @default.
- W2078197322 cites W2544992706 @default.
- W2078197322 cites W2951405282 @default.
- W2078197322 cites W349770100 @default.
- W2078197322 cites W53797064 @default.
- W2078197322 cites W64975636 @default.
- W2078197322 cites W81879861 @default.
- W2078197322 cites W3020976511 @default.
- W2078197322 doi "https://doi.org/10.14722/ndss.2014.23039" @default.
- W2078197322 hasPublicationYear "2014" @default.
- W2078197322 type Work @default.
- W2078197322 sameAs 2078197322 @default.
- W2078197322 citedByCount "233" @default.
- W2078197322 countsByYear W20781973222014 @default.
- W2078197322 countsByYear W20781973222015 @default.
- W2078197322 countsByYear W20781973222016 @default.
- W2078197322 countsByYear W20781973222017 @default.
- W2078197322 countsByYear W20781973222018 @default.
- W2078197322 countsByYear W20781973222019 @default.
- W2078197322 countsByYear W20781973222020 @default.
- W2078197322 countsByYear W20781973222021 @default.
- W2078197322 countsByYear W20781973222022 @default.
- W2078197322 countsByYear W20781973222023 @default.
- W2078197322 crossrefType "proceedings-article" @default.
- W2078197322 hasAuthorship W2078197322A5026715017 @default.
- W2078197322 hasAuthorship W2078197322A5040707552 @default.
- W2078197322 hasAuthorship W2078197322A5076678278 @default.
- W2078197322 hasBestOaLocation W20781973222 @default.
- W2078197322 hasConcept C111919701 @default.
- W2078197322 hasConcept C119857082 @default.
- W2078197322 hasConcept C154945302 @default.
- W2078197322 hasConcept C3017891749 @default.
- W2078197322 hasConcept C41008148 @default.
- W2078197322 hasConcept C557433098 @default.
- W2078197322 hasConceptScore W2078197322C111919701 @default.
- W2078197322 hasConceptScore W2078197322C119857082 @default.
- W2078197322 hasConceptScore W2078197322C154945302 @default.
- W2078197322 hasConceptScore W2078197322C3017891749 @default.
- W2078197322 hasConceptScore W2078197322C41008148 @default.
- W2078197322 hasConceptScore W2078197322C557433098 @default.
- W2078197322 hasLocation W20781973221 @default.
- W2078197322 hasLocation W20781973222 @default.
- W2078197322 hasOpenAccess W2078197322 @default.
- W2078197322 hasPrimaryLocation W20781973221 @default.
- W2078197322 hasRelatedWork W1561164113 @default.
- W2078197322 hasRelatedWork W2352994953 @default.
- W2078197322 hasRelatedWork W2921740243 @default.
- W2078197322 hasRelatedWork W2976921353 @default.
- W2078197322 hasRelatedWork W3083601380 @default.
- W2078197322 hasRelatedWork W3135824456 @default.
- W2078197322 hasRelatedWork W358227501 @default.
- W2078197322 hasRelatedWork W4301228544 @default.
- W2078197322 hasRelatedWork W986350223 @default.
- W2078197322 hasRelatedWork W3111237283 @default.
- W2078197322 isParatext "false" @default.
- W2078197322 isRetracted "false" @default.
- W2078197322 magId "2078197322" @default.
- W2078197322 workType "article" @default.