Warning: pg_query(): Query failed: ERROR: missing chunk number 0 for toast value 29512337 in pg_toast_2619 in /dati/webiit-old/includes/database.pgsql.inc on line 138 Warning: ERROR: missing chunk number 0 for toast value 29512337 in pg_toast_2619 query: SELECT data, created, headers, expire, serialized FROM cache_page WHERE cid = 'https://www-old.iit.cnr.it/node/45409' in /dati/webiit-old/includes/database.pgsql.inc on line 159 Warning: pg_query(): Query failed: ERROR: missing chunk number 0 for toast value 29512337 in pg_toast_2619 in /dati/webiit-old/includes/database.pgsql.inc on line 138 Warning: ERROR: missing chunk number 0 for toast value 29512337 in pg_toast_2619 query: SELECT data, created, headers, expire, serialized FROM cache_page WHERE cid = 'https://www-old.iit.cnr.it/node/45409' in /dati/webiit-old/includes/database.pgsql.inc on line 159 Machine Learning meets iOS Malware: Identifying Malicious Applications on Apple Environment | IIT - CNR - Istituto di Informatica e Telematica
IIT Home Page CNR Home Page

Machine Learning meets iOS Malware: Identifying Malicious Applications on Apple Environment

The huge diffusion of the so-called smartphone devices is boosting the malware writer community to write more and more aggressive software targeting the mobile platforms. While scientific community has largely studied malware on Android platform, few attention is paid to iOS applications, probably to their closed-source nature. In this paper, in order to fill this gap, we propose a method to identify malicious application on Apple environment. Our method relies on a feature vector extracted by static analysis. Experiments, performed with 20 different machine learning algorithms, demonstrate that malware iOS applications are discriminated by trusted ones with a precision equal to 0.971 and a recall equal to 1.

3rd International Conference on Information Systems Security and Privacy (ICISSP 2017), Porto, Portugal, 2017

Autori esterni: Aniello Cimitile (Dipartimento di Ingegneria, Università degli Studi del Sannio)
Autori IIT:

Tipo: Contributo in atti di convegno
Area di disciplina: Computer Science & Engineering

File: machine-learning-meets.pdf

Attività: Sicurezza di dispositivi mobili