Results 11 to 20 of about 3,599 (177)
Abstract This paper analyses the magnitude of the spatial transmission of COVID‐19 through the municipalities of the region of Madrid during the first pandemic wave using a spatial contagion index. The study also provides additional insights into the main factors contributing to the spread of the virus in both time and space by estimating a novel ...
María Hierro, Adolfo Maza
wiley +1 more source
Android malware has been rising alongside the popularity of the Android operating system. Attackers are developing malicious malware that undermines the ability of malware detecting systems and circumvents such systems by obfuscating their disposition.
Rohan Chopra +4 more
wiley +1 more source
MalDroid: Secure DL‐enabled intelligent malware detection framework
Abstract Nowadays, smartphones are provided with an abundance of capabilities. During the last decade, the availability of smartphone users and online mobile payment services and applications have substantially grown. Besides, the Android infotainment market is exponentially growing and thus potentially becoming a primary target for cyber adversaries ...
Ikram Ul Haq +3 more
wiley +1 more source
Resumen La reventa de gasolina brasilera en la frontera Venezuela–Brasil es un acontecimiento emergente que facilita el entendimiento sociopolítico nuevo de las estrategias de sobrevivencia locales más allá de la resiliencia social e informalidad en tiempos de crisis.
Morelia Morillo Ramos, Eva van Roekel
wiley +1 more source
Ethical heuristics for pandemic allocation of ventilators across hospitals
Abstract In response to the COVID‐19 pandemic philosophers and governments have proposed scarce resource allocation guidelines. Their purpose is to advise healthcare professionals on how to ethically allocate scarce medical resources. One challenging feature of the pandemic has been the large numbers of patients needing mechanical ventilatory support ...
César Palacios‐González +3 more
wiley +1 more source
A Mechanism for Detecting the Intruder in the Network through a Stacking Dilated CNN Model
Rapid advancements in the technology and telecommunication areas have led to a massive expansion of network density and information. As a consequence, numerous intruder assaults are being attempted, making it difficult for cybersecurity to identify intruders effectively.
P. Nirmala +6 more
wiley +1 more source
NLP Technique for Malware Detection Using 1D CNN Fusion Model
With the record of the highest market share of mobile operating systems, the Android operating system has become a prime target for cyber perpetrators as malicious applications are leveraged as attack vectors to exploit Android systems. Machine learning detection solutions that have become a resort mostly rely on handcrafted features, a process deemed ...
Paul Ntim Yeboah +2 more
wiley +1 more source
Deep Learning Methods for Malware and Intrusion Detection: A Systematic Literature Review
Android and Windows are the predominant operating systems used in mobile environment and personal computers and it is expected that their use will rise during the next decade. Malware is one of the main threats faced by these platforms as well as Internet of Things (IoT) environment and the web.
Rahman Ali +5 more
wiley +1 more source
EvadeRL: Evading PDF Malware Classifiers with Deep Reinforcement Learning
With the growing popularity of information digitization and the advancement of executable file detection technology, PDF has emerged as an important carrier of malicious documents. Despite the improved efficacy of machine learning‐based classifiers in detecting PDF malware, adversaries have proposed a variety of countermeasures to evade detection, such
Zhengyang Mao +4 more
wiley +1 more source
[Retracted] An Automated Deep Learning Model for the Cerebellum Segmentation from Fetal Brain Images
Cerebellum measures taken from routinely obtained ultrasound (US) images have been frequently employed to determine gestational age and identify developing central nervous system’s anatomical abnormalities. Standardized cerebellar assessments from large‐scale clinical datasets are required to investigate correlations between the growing cerebellum and ...
R. Sreelakshmy +7 more
wiley +1 more source

