@inproceedings{5e8aecb2b9194571a7aa6f85a3eeb72c,
title = "Detection, alert and response to malicious behavior in mobile devices: Knowledge-based approach",
abstract = "In this research, we evaluate a knowledge-based approach for detecting instances of known classes of mobile devices malware based on their temporal behavior. The framework relies on lightweight agent that continuously monitors time-stamped security data within the mobile device and then processes the data using a light version of the Knowledge-Based Temporal Abstraction (KBTA) methodology. The new approach was applied for detecting malware on Google Android powered-devices. Evaluation results demonstrated the effectiveness of the proposed approach.",
keywords = "Host-Based Intrusion Detection Systems, KBTA, Mobile Devices",
author = "Asaf Shabtai and Uri Kanonov and Yuval Elovici",
year = "2009",
month = dec,
day = "1",
doi = "10.1007/978-3-642-04342-0_23",
language = "English",
isbn = "3642043410",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "357--358",
booktitle = "Recent Advances in Intrusion Detection - 12th International Symposium, RAID 2009, Proceedings",
note = "12th International Symposium on Recent Advances in Intrusion Detection, RAID 2009 ; Conference date: 23-09-2009 Through 25-09-2009",
}