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Z2F: Heterogeneous graph-based Android malware detection.

Android malware is becoming more common, and its invasion of smart devices has brought immeasurable losses to people's lives. Most existing Android malware detection methods extract Android features from the original application files without considering
Ziwei Ma, Nurbor Luktarhan
core   +1 more source

Machine learning methods for Android malware detection

, 2015
With the Android mobile device becoming increasingly popular, the Android application market has become a main target of the malware attacks. Therefore, many methods have been used to protect the mobile application users from being attacked.
Xu, Zhengzi
core  

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Android Malware Detection

2021
Malicious applications pose a threat to the security of the Android platform. The growing amount and diversity of these applications render conventional defenses largely ineffective and thus Android smartphones often remain un-protected from novel malware.
S, Mrs Hamsareka, S, Krishnamoorthy, T, Prasanth, R, Purusothaman, A, Santhosh Kumar   +4 more
openaire   +1 more source

Detection of repackaged Android Malware

The 9th International Conference for Internet Technology and Secured Transactions (ICITST-2014), 2014
Android applications are widely used by millions of users to perform many activities. Unfortunately, legitimate and popular applications are targeted by malware authors and they repackage the existing applications by injecting additional code intended to perform malicious activities without the knowledge of end users.
Hossain Shahriar, Victor Clincy
openaire   +1 more source

Infrastructure for Detecting Android Malware

2013
Malware for smartphones have sky-rocketed these last years, particularly for Android platforms. To tackle this threat, services such as Google Bouncer have intended to counter-attack. However, it has been of short duration since the malware have circumvented the service by changing their behaviors.
Laurent Delosières, David García
openaire   +2 more sources

Android Malware Detection: A Survey

2018
In the world today, smartphones are evolving every day and with this evolution, security becomes a big issue. Security is an important aspect of the human existence and in a world, with inadequate security, it becomes an issue for the safety of the smartphone users. One of the biggest security threats to smartphones is the issue of malware.
Modupe Odusami, Olusola Abayomi-Alli, Sanjay Misra, Olamilekan Shobayo, Robertas Damasevicius, Rytis Maskeliunas   +5 more
openaire   +2 more sources

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, G. Sudha Sadasivam, Hema Priya N, Rajeshwari N, Dharani M, K. Karthik   +5 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, Priyanka Pednekar, Pooja Prabhuswamy, Divyashri Sreedharan Nair, Younghee Park, Hyeran Jeon   +5 more
openaire   +2 more sources

A Comparison of Features for Android Malware Detection

Proceedings of the SouthEast Conference, 2017
With the increase in mobile device use, there is a greater need for increasingly sophisticated malware detection algorithms. The research presented in this paper examines two types of features of Android applications, permission requests and system calls, as a way to detect malware.
Matthew Leeds, Miclain Keffeler, Travis Atkison   +2 more
openaire   +1 more source

Deep learning for detecting Android malwares

Proceedings of the 4th International Conference on Smart City Applications, 2019
The revolution and development of malwares over time necessitate an intensive researches on advanced techniques to secure user's personal and critical information, the most challenging task is to build a strong and robust classifier allows to detect different types of malwares and being able to defeat zero-day malware attacks.
Soussi Ilham, Abderrahim Ghadi, Boudhir Anouar Abdelhakim   +2 more
openaire   +2 more sources