The DOI matches its Crossref record; 53 of the 53 references it cites were found in a registry or an index.
A Survey on Security for Mobile Devices
Open accessAbstract
Nowadays, mobile devices are an important part of our everyday lives since they enable us to access a large variety of ubiquitous services. In recent years, the availability of these ubiquitous and mobile services has significantly increased due to the different form of connectivity provided by mobile devices, such as GSM, GPRS, Bluetooth and Wi-Fi. In the same trend, the number and typologies of vulnerabilities exploiting these services and communication channels have increased as well. Therefore, smartphones may now represent an ideal target for malware writers. As the number of vulnerabilities and, hence, of attacks increase, there has been a corresponding rise of security solutions proposed by researchers. Due to the fact that this research field is immature and still unexplored in depth, with this paper we aim to provide a structured and comprehensive overview of the research on security solutions for mobile devices. This paper surveys the state of the art on threats, vulnerabilities and security solutions over the period 2004-2011, by focusing on high-level attacks, such those to user applications. We group existing approaches aimed at protecting mobile devices against these classes of attacks into different categories, based upon the detection principles, architectures, collected data and operating systems, especially focusing on IDS-based models and tools. With this categorization we aim to provide an easy and concise view of the underlying model adopted by each approach.
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Cites
TaintDroid: an information-flow tracking system for realtime privacy monitoring on smartphones
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Design and implementation of a TCG-based integrity measurement architecture
Sailer, R., Zhang, X., Jaeger, T., & van Doorn, L. (2004) · USENIX Security Symposium · Cited by 1,035
On lightweight mobile phone application certification
Enck, W., Ongtang, M., & McDaniel, P. (2009) · Proceedings of the 16th ACM conference on Computer and communications security · doi:10.1145/1653662.1653691 · Cited by 921
Crowdroid: behavior-based malware detection system for Android
Burguera, I., Zurutuza, U., & Nadjm-Tehrani, S. (2011) · Proceedings of the 1st ACM workshop on Security and privacy in smartphones and mobile devices · doi:10.1145/2046614.2046619 · Cited by 910
A study of android application security
Enck, W., Octeau, D., McDaniel, P. D., & Chaudhuri, S. (2011) · Cited by 871
A survey of mobile malware in the wild
Felt, A. P., Finifter, M., Chin, E., Hanna, S., & Wagner, D. (2011) · Proceedings of the 1st ACM workshop on Security and privacy in smartphones and mobile devices · doi:10.1145/2046614.2046618 · Cited by 768
“Andromaly”: a behavioral malware detection framework for android devices
Shabtai, A., Kanonov, U., Elovici, Y., Glezer, C., & Weiss, Y. (2012) · Journal of Intelligent Information Systems · doi:10.1007/s10844-010-0148-x · Cited by 754
Understanding Android Security
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PiOS : Detecting privacy leaks in iOS applications
Egele, M. (2011) · Cited by 469
Google Android: A Comprehensive Security Assessment
Shabtai, A., Fledel, Y., Kanonov, U., Elovici, Y., Dolev, S., & Glezer, C. (2010) · IEEE Security & Privacy Magazine · doi:10.1109/msp.2010.2 · Cited by 351
Cited by
A Survey on Wireless Body Area Networks: Technologies and Design Challenges
Cavallari, R., Martelli, F., Rosini, R., Buratti, C., & Verdone, R. (2014) · IEEE Communications Surveys & Tutorials · doi:10.1109/surv.2014.012214.00007 · Cited by 710
Android Security: A Survey of Issues, Malware Penetration, and Defenses
Faruki, P., Bharmal, A., Laxmi, V., Ganmoor, V., Gaur, M. S., Conti, M., & Rajarajan, M. (2015) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2014.2386139 · Cited by 559
Android HIV: A Study of Repackaging Malware for Evading Machine-Learning Detection
Chen, X., Li, C., Wang, D., Wen, S., Zhang, J., Nepal, S., Xiang, Y., & Ren, K. (2020) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2019.2932228 · Cited by 328
Surveying the Development of Biometric User Authentication on Mobile Phones
Meng, W., Wong, D. S., Furnell, S., & Zhou, J. (2015) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2014.2386915 · Cited by 300
Botnet in DDoS Attacks: Trends and Challenges
Hoque, N., Bhattacharyya, D. K., & Kalita, J. K. (2015) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2015.2457491 · Cited by 299
Metadata
- Authors
- La Polla, M., Martinelli, F., & Sgandurra, D.
- Venue
- IEEE Communications Surveys & Tutorials
- Published
- 2013
- Volume
- 15
- Issue
- 1
- Pages
- 446-471
- ISSN
- 1553-877X (ISSN-L)
- OpenAlex
- W2116668505
- Cited by
- 512
- References
- 53
- FWCI
- 68.65
- Type
- journal article
- Language
- en
- Open access
- gold
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