Results 181 to 190 of about 4,196 (220)

Whitelist for Analyzing Android Malware

Proceedings of the International Conference on Research in Adaptive and Convergent Systems, 2017
The number of malicious code targeting the Android platform is increasing day by day. The biggest difficulty in analyzing the malicious code is the large amount of source code that needs to be analyzed. The larger the size of the source code, the longer the analyzing time and the longer the analyzing time, the less accurate the result of the analysis ...
Kyoungmin Kim 0005, Jeonghwan Lee 0004, Seonguk Lee, Jiman Hong   +3 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

Fingerprinting Android malware families

Frontiers of Computer Science, 2018
The domination of the Android operating system in the market share of smart terminals has engendered increasing threats of malicious applications (apps). Research on Android malware detection has received considerable attention in academia and the industry.
Nannan Xie, Xing Wang, Wei Wang 0012, Jiqiang Liu   +3 more
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   +1 more source

Composition-Malware: Building Android Malware at Run Time

2015 10th International Conference on Availability, Reliability and Security, 2015
We present a novel model of malware for Android, named composition-malware, which consists of composing fragments of code hosted on different and scattered locations at run time. An key feature of the model is that the malicious behavior could dynamically change and the payload could be activated under logic or temporal conditions.
Gerardo Canfora, Francesco Mercaldo, Giovanni Moriano, Corrado Aaron Visaggio   +3 more
openaire   +2 more sources

Android malware analysis and conceptual malware mitigation approaches

2016 International Conference on Information and Communication Technology Convergence (ICTC), 2016
Mobile devices have enjoyed unprecedented growth in the last decade. As devices become more ubiquitous and users place more sensitive data on their devices, the amount of mobile malware in the wild has grown. In order to protect mobile device users and their data, mobile security solutions have been brought to market for consumer and enterprise users ...
Tae (Tom) Oh, Hwa Shin Moon, Young Ho Kim, Jeong Neyo Kim, Bill Stackpole   +4 more
openaire   +1 more source

Characterization of Android Malwares and their families

ACM Computing Surveys
Nowadays, smartphones have made our lives easier and have become essential gadgets for us. Apart from calling, mobiles are used for various purposes, such as banking, chatting, data storage, connecting to the internet, and running apps, that make life easier. Therefore, attackers are developing new methods or malware to steal smartphone data. Primarily,
Tejpal Sharma, Dhavleesh Rattan
openaire   +1 more source

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   +1 more source

Reviving Android Malware with DroidRide: And How Not To

2016 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC), 2016
Malware has started grabbing its undeserved share long before the blossom of Android ecosystem. Injected with malware, malicious applications (apps) may threat users in various ways like financial charges and information stealing. When the severity of a deluge of malware was first noticed, malware detectors delivered unsatisfactory detection accuracy ...
Min Huang, Kai Bu, Hanlin Wang, Kaiwen Zhu   +3 more
openaire   +1 more source

On energy-based profiling of malware in Android

2014 International Conference on High Performance Computing & Simulation (HPCS), 2014
The growing spread of malware on Android OS requires new approaches for the detection and recognition of malicious applications on mobile devices. An emerging idea is characterizing malicious behaviors in terms of energy consumption, to support the definition of Energy-aware Intrusion Detection Systems that are able to recognize malicious behaviors in ...
MERLO, ALESSIO, MIGLIARDI, MAURO, Paolo Fontanelli   +2 more
openaire   +1 more source