Results 11 to 20 of about 306,676 (309)
Android Permisos y Grupos de Permisos
, 2023 List of permissions and permission groups updated by Android and downloaded from their official github repository: https://github.com/aosp-mirror/platform_frameworks_base/blob/master/core/res/AndroidManifest ...
Android
core +1 more source
DroidPortrait: Android Malware Portrait Construction Based on Multidimensional Behavior Analysis
Applied Sciences, 2020 Recently, security incidents such as sensitive data leakage and video/audio hardware control caused by Android malware have raised severe security issues that threaten Android users, so thus behavior analysis and detection research researches of ...
Xin Su +5 more
doaj +1 more source
Applied Sciences, 2023 Since the development of information systems during the last decade, cybersecurity has become a critical concern for many groups, organizations, and institutions.
Ashwag Albakri +4 more
semanticscholar +1 more source
Deep Learning-Based Attack Detection and Classification in Android Devices
Electronics, 2023 The increasing proliferation of Androidbased devices, which currently dominate the market with a staggering 72% global market share, has made them a prime target for attackers.
A. Gómez, Antonio Muñoz
semanticscholar +1 more source
Detection and Prevention of Malware in Android Operating System
Mehran University Research Journal of Engineering and Technology, 2021 The Internet is not safe anymore, malware can be discovered anywhere on the Internet. The risk of malware has increased also due to the increasing popularity and use of Smartphones and their underlying cost-free applications. With its great market share,
Kashif Ali Dahri +2 more
doaj +1 more source
Research of kinematics of an actuating group of an anthropomorphic gripper with a common drive
MATEC Web of Conferences, 2018 Anthropomorphic robots (AR): Robonaut (USA), Asimo (Japan), FEDOR (Russia) are similar to human capabilities in performable actions. Whereby the AR efficiency depends on the anthropomorphic gripper (AG) functionality.
Bogdanov Alexey +2 more
doaj +1 more source
Deep Learning for Android Malware Defenses: A Systematic Literature Review [PDF]
ACM Computing Surveys, 2021 Malicious applications (particularly those targeting the Android platform) pose a serious threat to developers and end-users. Numerous research efforts have been devoted to developing effective approaches to defend against Android malware. However, given
Yue Liu +3 more
semanticscholar +1 more source
ANDROID: An Inter-disciplinary Academic Network that Promotes Co-operation and Innovation among European Higher Education to Increase Society's Resilience to Disasters [PDF]
, 2014 Using knowledge, innovation and education to build a culture of safety and resilience at all levels is one of five priorities for action (PFA) that were identified in the Hyogo Framework for Action (HFA).
Haigh, RP +8 more
core +1 more source
The Real-World Benchmark For Android From VulsTotal
, 2023 The Real-World Benchmark For Android From VulsTotal. VulsTotal is a unified platform for evaluating and benchmarking SAST tools for Android. This dataset contains four benchmarks as follows: 1.
android-app-sast
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A Survey of Android Malware Detection with Deep Neural Models
ACM Computing Surveys, 2020 Deep Learning (DL) is a disruptive technology that has changed the landscape of cyber security research. Deep learning models have many advantages over traditional Machine Learning (ML) models, particularly when there is a large amount of data available.
Junyang Qiu +5 more
semanticscholar +1 more source