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Testing the feasibility of passive sensing among adolescents: Implications for mental health. [PDF]
J Psychopathol Clin SciBurnell K +4 more
europepmc +1 more source
Taboos as Drivers for Counterculture: Normalizing Misogyny in Incel Communities and Beyond
Journal of Social Philosophy, EarlyView.
Mihaela Popa‐Wyatt, Justina Berškytė
wiley +1 more source
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Encyclopedia of Social Network Analysis and Mining. 2nd Ed., 2018
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练启光
semanticscholar +3 more sources
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练启光
semanticscholar +3 more sources
Comprehensive Android Malware Detection Based on Federated Learning Architecture
IEEE Transactions on Information Forensics and Security, 2023Android malware and its variants are a major challenge for mobile platforms. However, there are two main problems in the existing detection methods: $a$ ) The detection method lacks the evolution ability for Android malware, which leads to the low ...
Wenbo Fang +7 more
semanticscholar +1 more source
Understanding the Behaviour of Android Ransomware Attacks with Real Smartphones Dataset
2023 International Conference for Advancement in Technology (ICONAT), 2023Android Security has become a frequently targeted area by cyber attackers and is widely exploited for several benefits by unauthorized users. The open-source model and affordable access to Android platforms enable smartphone users with multiple free ...
Atul Kumar, Ishu Sharma
semanticscholar +1 more source
A Survey of Android Malware Detection with Deep Neural Models
ACM Computing Surveys, 2020Deep 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
Dynamic Android Malware Category Classification using Semi-Supervised Deep Learning
2020 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech), 2020Due to the significant threat of Android mobile malware, its detection has become increasingly important. Despite the academic and industrial attempts, devising a robust and efficient solution for Android malware detection and category classification is ...
Samaneh Mahdavifar +4 more
semanticscholar +1 more source
2016
Within the model-driven engineering field, model execution consists in interpreting the model through a dedicated execution engine instead of executing a code based on, or generated from, the model. The class of modeling languages endowed with such executability is called i-DSML (interpreted Domain-Specific Modeling Language).
Le Goaer, Olivier +2 more
openaire +3 more sources
Within the model-driven engineering field, model execution consists in interpreting the model through a dedicated execution engine instead of executing a code based on, or generated from, the model. The class of modeling languages endowed with such executability is called i-DSML (interpreted Domain-Specific Modeling Language).
Le Goaer, Olivier +2 more
openaire +3 more sources
Reinforcement learning based curiosity-driven testing of Android applications
International Symposium on Software Testing and Analysis, 2020Mobile applications play an important role in our daily life, while it still remains a challenge to guarantee their correctness. Model-based and systematic approaches have been applied to Android GUI testing.
Minxue Pan +4 more
semanticscholar +1 more source