Crowdsourcing cybersecurity: Cyber attack detection using social media
Social media is often viewed as a sensor into various societal events such as disease
outbreaks, protests, and elections. We describe the use of social media as a crowdsourced …
outbreaks, protests, and elections. We describe the use of social media as a crowdsourced …
Sosnet: A graph convolutional network approach to fine-grained cyberbullying detection
Amidst the COVID-19 pandemic, cyberbullying has become an even more serious threat.
Our work aims to investigate the viability of an automatic multiclass cyberbullying detection …
Our work aims to investigate the viability of an automatic multiclass cyberbullying detection …
Artificial intelligence for social good: A survey
Artificial intelligence for social good (AI4SG) is a research theme that aims to use and
advance artificial intelligence to address societal issues and improve the well-being of the …
advance artificial intelligence to address societal issues and improve the well-being of the …
Hierarchical and incremental structural entropy minimization for unsupervised social event detection
As a trending approach for social event detection, graph neural network (GNN)-based
methods enable a fusion of natural language semantics and the complex social network …
methods enable a fusion of natural language semantics and the complex social network …
Event evolution model for cybersecurity event mining in tweet streams
X Liu, J Fu, Y Chen - Information Sciences, 2020 - Elsevier
The rich source of online reports and discussions on social media can be leveraged to
investigate the widespread cyber-attacks. In this paper, we study the problem of …
investigate the widespread cyber-attacks. In this paper, we study the problem of …
Risecure: Metro incidents and threat detection using social media
O Zulfiqar, YC Chang, PH Chen, K Fu… - 2020 IEEE/ACM …, 2020 - ieeexplore.ieee.org
Open and accessible public utilities such as mass public transit systems are some of the
vexing venues that are vulnerable to several criminal acts due to the large volumes of …
vexing venues that are vulnerable to several criminal acts due to the large volumes of …
Mobile network failure event detection and forecasting with multiple user activity data sets
M Oki, K Takeuchi, Y Uematsu - … of the AAAI Conference on Artificial …, 2018 - ojs.aaai.org
As the demand for mobile network services increases, immediate detection and forecasting
of network failure events have become important problems for service providers. Several …
of network failure events have become important problems for service providers. Several …
PRISTINE: Semi-supervised Deep Learning Opioid Crisis Detection on Reddit
The drug abuse epidemic has been on the rise in the past few years, particularly after the
start of COVID-19 pandemic. Our preliminary observations on Reddit alone show that …
start of COVID-19 pandemic. Our preliminary observations on Reddit alone show that …
Feature driven learning framework for cybersecurity event detection
Cybersecurity event detection is a crucial problem for mitigating effects on various aspects of
society. Social media has become a notable source of indicators for detection of diverse …
society. Social media has become a notable source of indicators for detection of diverse …
Prediction of collective actions using deep neural network and species competition model on social media
Collective actions that can affect government management and public security (eg, mass
demonstrations), usually undergo long term development and originate from small and …
demonstrations), usually undergo long term development and originate from small and …