The University of Southampton
University of Southampton Institutional Repository

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
Towards the usage of invariant-based app behavioral fingerprinting for the detection of obfuscated versions of known malware
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
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).

Record type: Conference or Workshop Item (Paper)

This record has no associated files available for download.

More information

Published date: 2016

Identifiers

Local EPrints ID: 450664
URI: http://eprints.soton.ac.uk/id/eprint/450664
PURE UUID: 63ee595c-be97-4a47-bf58-4e1bbe32916f
ORCID for Leonardo Aniello: ORCID iD orcid.org/0000-0003-2886-8445

Catalogue record

Date deposited: 05 Aug 2021 16:32
Last modified: 23 Feb 2023 03:12

Export record

Contributors

Author: Zigrid Shehu
Author: Claudio Ciccotelli
Author: Daniele Ucci
Author: Leonardo Aniello ORCID iD
Author: Roberto Baldoni

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×