Towards the usage of invariant-based app behavioral fingerprinting for the detection of obfuscated versions of known malware
Towards the usage of invariant-based app behavioral fingerprinting for the detection of obfuscated versions of known malware
Shehu, Zigrid
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Ciccotelli, Claudio
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Ucci, Daniele
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Aniello, Leonardo
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Baldoni, Roberto
6ea5e1cc-92fe-4b9d-9ed3-0b7970553965
2016
Shehu, Zigrid
ea97503b-6cb8-42b3-89f2-54a010e54d40
Ciccotelli, Claudio
da54f041-47a2-45ea-8947-f35d01d1d488
Ucci, Daniele
a25d9fc6-0075-4d85-bd3f-155058fe32ad
Aniello, Leonardo
9846e2e4-1303-4b8b-9092-5d8e9bb514c3
Baldoni, Roberto
6ea5e1cc-92fe-4b9d-9ed3-0b7970553965
Shehu, Zigrid, Ciccotelli, Claudio, Ucci, Daniele, Aniello, Leonardo and Baldoni, Roberto
(2016)
Towards the usage of invariant-based app behavioral fingerprinting for the detection of obfuscated versions of known malware.
In 2016 10th International Conference on Next Generation Mobile Applications, Security and Technologies (NGMAST).
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Conference or Workshop Item
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Published date: 2016
Identifiers
Local EPrints ID: 450664
URI: http://eprints.soton.ac.uk/id/eprint/450664
PURE UUID: 63ee595c-be97-4a47-bf58-4e1bbe32916f
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Date deposited: 05 Aug 2021 16:32
Last modified: 23 Feb 2023 03:12
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Contributors
Author:
Zigrid Shehu
Author:
Claudio Ciccotelli
Author:
Daniele Ucci
Author:
Leonardo Aniello
Author:
Roberto Baldoni
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