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Android application security: detecting Android malware and evaluating anti-malware software

International Journal of Internet Technology and Secured Transactions, 2020
Mobile devices have become widespread computing technology, people prefer to use than desktop devices. These connected devices and their features like an exchange of data, video calling etc. have made our lives simple but, this has also increased data security concerns. At present, Google's Android is dominating the market share of mobile devices; as a
Sangeeta Rani, Kanwalvir Singh Dhindsa
openaire   +1 more source

Android Malware Detection

2020
Smartphones and mobile tablets are rapidly becoming essential in daily life. Android has been the most popular mobile operating system since 2012. However, owing to the open nature of Android, countless malwares are intermingled with a large number of benign apps in Android markets that seriously threaten Android security.
Shymala Gowri Selvaganapathy   +5 more
openaire   +1 more source

Detecting Android Malware Using Clone Detection

Journal of Computer Science and Technology, 2015
Android is currently one of the most popular smartphone operating systems. However, Android has the largest share of global mobile malware and significant public attention has been brought to the security issues of Android. In this paper, we investigate the use of a clone detector to identify known Android malware.
Jian Chen   +3 more
openaire   +1 more source

CNN-Based Android Malware Detection

2017 International Conference on Software Security and Assurance (ICSSA), 2017
The growth in mobile devices has exponentially increased, making information easy to access but at the same time vulnerable. Malicious applications can gain access to sensitive and critical user information by exploiting unsolicited permission controls.
Meenu Ganesh   +5 more
openaire   +1 more source

Adaptive Android Malware Signature Detection

Proceedings of the 2018 International Conference on Communication Engineering and Technology, 2018
This paper proposes signature-based malware detection using permission and broadcast-receiver data, which is extracted from the manifest file. The malicious signatures are constructed from 800 applications thru the filtering and statistical processes. The detection result showed that malicious signatures used to detect the malicious applications had 86.
Suparerk Ngamwitroj   +1 more
openaire   +1 more source

Android Malware Detection

2022
For the past few decades, the growth in usage of mobile phones has been increasing abnormally. Recent surveys hypothesize most of the mobile phone market segment is benignly dominated by Android Operating System and this made the Android OS (Operating System) the most vulnerable Operating System; as more users are adopting to use Android OS (Operating ...
Gadde, Sayi Rosshhun   +4 more
openaire   +1 more source

Towards sustainable Android malware detection

Proceedings of the 40th International Conference on Software Engineering: Companion Proceeedings, 2018
Approaches to Android malware detection built on supervised learning are commonly subject to frequent retraining, or the trained classifier may fail to detect newly emerged or emerging kinds of malware. This work targets a sustainable Android malware detector that, once trained on a dataset, can continue to effectively detect new malware without ...
Haipeng Cai, John Jenkins
openaire   +1 more source

Twitter-enhanced Android malware detection

2017 IEEE International Conference on Big Data (Big Data), 2017
In data-driven Android malware detection, large numbers of both malicious and benign apps are used to train machine learning classifiers to detect malware. Existing approaches have nearly exclusively focused on app contents to extract features for classification. We seek to understand if auxiliary data, specifically Twitter data, can be used to improve
Jordan DeLoach, Doina Caragea
openaire   +1 more source

Android malware detection

Malware is one of the major issues regarding the operating framework or in thesoftware world. The android framework is also going through the same issues. We have seenother Signature based malware location strategies were utilized to recognize malware. Yet, thestrategies couldn't recognize obscure malware.
Aaditya Vikram Saravana Bhavan   +5 more
openaire   +2 more sources

Android Malware Detection Techniques

2019
Importance of personal data has increased along with the evolution of technology. To steal and misuse this data, malicious programs and software are written to exploit the vulnerabilities of the current system. These programs are referred to as malware. Malware harasses the users until their intentions are fulfilled.
Shreya Khemani   +2 more
openaire   +1 more source

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