Lightweight intrusion detection for mobile devices. (c2012)

Includes bibliographical references (leaves 90-93).

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Breidi, Fawzi (author)
التنسيق: masterThesis
منشور في: 2012
الموضوعات:
الوصول للمادة أونلاين:http://hdl.handle.net/10725/1250
https://doi.org/10.26756/th.2012.17
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author Breidi, Fawzi
author_facet Breidi, Fawzi
author_role author
dc.creator.none.fl_str_mv Breidi, Fawzi
dc.date.none.fl_str_mv 2012-09-26T08:33:54Z
2012-09-26T08:33:54Z
2012
2012-09-26
2012-05-23
dc.identifier.none.fl_str_mv http://hdl.handle.net/10725/1250
https://doi.org/10.26756/th.2012.17
dc.language.none.fl_str_mv en
dc.publisher.none.fl_str_mv Lebanese American University
dc.rights.*.fl_str_mv info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Cell phone systems -- Security measures
Mobile communication systems -- Security measures
Malware (Computer software) -- Prevention
Data protection
dc.title.none.fl_str_mv Lightweight intrusion detection for mobile devices. (c2012)
dc.type.none.fl_str_mv Thesis
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/masterThesis
description Includes bibliographical references (leaves 90-93).
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publishDate 2012
publisher.none.fl_str_mv Lebanese American University
repository.mail.fl_str_mv
repository.name.fl_str_mv
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spelling Lightweight intrusion detection for mobile devices. (c2012)Breidi, FawziCell phone systems -- Security measuresMobile communication systems -- Security measuresMalware (Computer software) -- PreventionData protectionIncludes bibliographical references (leaves 90-93).Current mobile devices are capable of providing connectivity anytime anywhere while supporting multitude of services and applications. This luxury of all-time connectivity makes mobile devices targets for a wide range of security attacks. Malware can be deployed to steal private data stored on the mobile device such as text messages, call history, photos, emails and others. More serious attacks may occur where malware initiates communication rather than just access stored information. In this thesis, we design and implement a lightweight malware detection technique that appropriately suits resource-constrained mobile devices in terms of low storage and computational requirements. The proposed technique utilizes several user parameters (such as SMS and call activity) and system parameters (such as CPU and memory utilization) over a period of time to model the activity profile of the mobile user rather than storing and checking a large number of abnormal behaviors (such as signatures of possible attacks). These parameters are continuously adapted based on the user behavior. Any violation to the constructed user profile will issue an alert for a potential security threat. We implemented and tested the proposed technique on Android mobile devices with several possible attacks. Results demonstrated its capabilities in terms of high malware detection success rate in addition to low storage and computational requirements.1 bound copy: xv, 105 leaves; col. ill.; 30 cm. available at RNL.Lebanese American University2012-09-26T08:33:54Z2012-09-26T08:33:54Z20122012-09-262012-05-23Thesisinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesishttp://hdl.handle.net/10725/1250https://doi.org/10.26756/th.2012.17eninfo:eu-repo/semantics/openAccessoai:laur.lau.edu.lb:10725/12502020-05-18T14:53:46Z
spellingShingle Lightweight intrusion detection for mobile devices. (c2012)
Breidi, Fawzi
Cell phone systems -- Security measures
Mobile communication systems -- Security measures
Malware (Computer software) -- Prevention
Data protection
status_str publishedVersion
title Lightweight intrusion detection for mobile devices. (c2012)
title_full Lightweight intrusion detection for mobile devices. (c2012)
title_fullStr Lightweight intrusion detection for mobile devices. (c2012)
title_full_unstemmed Lightweight intrusion detection for mobile devices. (c2012)
title_short Lightweight intrusion detection for mobile devices. (c2012)
title_sort Lightweight intrusion detection for mobile devices. (c2012)
topic Cell phone systems -- Security measures
Mobile communication systems -- Security measures
Malware (Computer software) -- Prevention
Data protection
url http://hdl.handle.net/10725/1250
https://doi.org/10.26756/th.2012.17