The University of Southampton
University of Southampton Institutional Repository
Warning ePrints Soton is experiencing an issue with some file downloads not being available. We are working hard to fix this. Please bear with us.

An architecture for semi-automatic collaborative malware analysis for CIs

An architecture for semi-automatic collaborative malware analysis for CIs
An architecture for semi-automatic collaborative malware analysis for CIs
Laurenza, Giuseppe
c0a03b26-cfc2-4fd7-b8ac-bda2017da0a8
Ucci, Daniele
a25d9fc6-0075-4d85-bd3f-155058fe32ad
Aniello, Leonardo
9846e2e4-1303-4b8b-9092-5d8e9bb514c3
Baldoni, Roberto
6ea5e1cc-92fe-4b9d-9ed3-0b7970553965
Laurenza, Giuseppe
c0a03b26-cfc2-4fd7-b8ac-bda2017da0a8
Ucci, Daniele
a25d9fc6-0075-4d85-bd3f-155058fe32ad
Aniello, Leonardo
9846e2e4-1303-4b8b-9092-5d8e9bb514c3
Baldoni, Roberto
6ea5e1cc-92fe-4b9d-9ed3-0b7970553965

Laurenza, Giuseppe, Ucci, Daniele, Aniello, Leonardo and Baldoni, Roberto (2016) An architecture for semi-automatic collaborative malware analysis for CIs. In International Conference on Dependable Systems and Networks Workshops (DSN-W).

Record type: Conference or Workshop Item (Paper)

This record has no associated files available for download.

More information

Published date: 2016
Venue - Dates: 2016 46th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshop, , Toulouse, France, 2016-06-28 - 2016-07-01

Identifiers

Local EPrints ID: 450660
URI: http://eprints.soton.ac.uk/id/eprint/450660
PURE UUID: 18dd2882-cd80-4826-810e-6f5b5c17b7db
ORCID for Leonardo Aniello: ORCID iD orcid.org/0000-0003-2886-8445

Catalogue record

Date deposited: 05 Aug 2021 16:32
Last modified: 06 Aug 2021 01:49

Export record

Contributors

Author: Giuseppe Laurenza
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.

×