A multivocal literature review on growing social engineering based cyber-attacks/threats during the COVID-19 pandemic: challenges and prospective solutions
The novel coronavirus (COVID-19) pandemic has caused a considerable and long-lasting
social and economic impact on the world. Along with other potential challenges across …
social and economic impact on the world. Along with other potential challenges across …
COVID-19 and global increases in cybersecurity attacks: review of possible adverse artificial intelligence attacks
The World Health Organization's (WHO) coronavirus disease dashboard has recorded over
207 million confirmed infections and over 4 million deaths. There has been an increasing …
207 million confirmed infections and over 4 million deaths. There has been an increasing …
Don't fish in troubled waters! characterizing coronavirus-themed cryptocurrency scams
As COVID-19 has been spreading across the world since early 2020, a growing number of
malicious campaigns are capitalizing the topic of COVID-19. COVID-19 themed …
malicious campaigns are capitalizing the topic of COVID-19. COVID-19 themed …
An empirical assessment of global COVID-19 contact tracing applications
The rapid spread of COVID-19 has made manual contact tracing difficult. Thus, various
public health authorities have experimented with automatic contact tracing using mobile …
public health authorities have experimented with automatic contact tracing using mobile …
[PDF][PDF] Vetting security and privacy of global covid-19 contact tracing applications
The rapid spread of COVID-19 has made traditional manual contact tracing to identify
potential persons in close physical proximity to an known infected person challenging …
potential persons in close physical proximity to an known infected person challenging …
MsDroid: Identifying Malicious Snippets for Android Malware Detection
Machine learning has shown promise for improving the accuracy of Android malware
detection in the literature. However, it is challenging to (1) stay robust towards real-world …
detection in the literature. However, it is challenging to (1) stay robust towards real-world …
Mobile user interface element detection via adaptively prompt tuning
Recent object detection approaches rely on pretrained vision-language models for image-
text alignment. However, they fail to detect the Mobile User Interface (MUI) element since it …
text alignment. However, they fail to detect the Mobile User Interface (MUI) element since it …
Pandemic platform governance: Mapping the global ecosystem of COVID-19 response apps
This article provides an exploratory systematic mapping of the global ecosystem of COVID-
19 pandemic response apps. After considering policy updates by Google Play's and Apple's …
19 pandemic response apps. After considering policy updates by Google Play's and Apple's …
Demystifying illegal mobile gambling apps
Mobile gambling app, as a new type of online gambling service emerging in the mobile era,
has become one of the most popular and lucrative underground businesses in the mobile …
has become one of the most popular and lucrative underground businesses in the mobile …
GFCNet: Utilizing graph feature collection networks for coronavirus knowledge graph embeddings
In response to fighting COVID-19 pandemic, researchers in machine learning and artificial
intelligence have constructed some medical knowledge graphs (KG) based on existing …
intelligence have constructed some medical knowledge graphs (KG) based on existing …