Mostrando ítems 1-10 de 4986
Short Messages Spam Filtering Combining Personality Recognition and Sentiment Analysis
(World Scientific Publishing, 2017)
Currently, short communication channels are growing up due to the huge increase in the number of smartphones and online social networks users. This growth attracts malicious campaigns, such as spam campaigns, that are a ...
Software Defined Networking Opportunities for Intelligent Security Enhancement of Industrial Control Systems
(Springer International Publishing, 2017)
In the last years, cyber security of Industrial Control Systems (ICSs) has become an important issue due to the discovery of sophisticated malware that by attacking Critical Infrastructures, could cause catastrophic safety ...
A study of the personalization of spam content using Facebook public information
(Oxford University Press, 2017)
Millions of users per day are affected by unsolicited email campaigns. Spam filters are capable of detecting and avoiding an increasing number of messages, but researchers have quantified a response rate of a 0.006% , ...
Cyber Physical System Based Proactive Collaborative Maintenance
The aim of the MANTIS project is to provide a proactive maintenance service platform architecture based on Cyber Physical Systems. The platform will allow estimating future performance, predicting and preventing imminent ...
A Mood Analysis on Youtube Comments and a Method for Improved Social Spam Detection
In the same manner that Online Social Networks (OSN) usage increases, non-legitimate campaigns over these types of web services are growing. This is the reason why signi cant number of users are affected by social spam ...
Short Messages Spam Filtering Using Sentiment Analysis
(Springer International Publishing, 2016)
In the same way that short instant messages are more and more used, spam and non-legitimate campaigns through this type of communication systems are growing up. Those campaigns, besides being an illegal online activity, ...
On the Feasibility of Distinguishing Between Process Disturbances and Intrusions in Process Control Systems using Multivariate Statistical Process Control
Process Control Systems (PCSs) are the operat-ing core of Critical Infrastructures (CIs). As such, anomalydetection has been an active research field to ensure CInormal operation. Previous ...
Null is Not Always Empty: Monitoring the Null Space for Field-Level Anomaly Detection in Industrial IoT Environments
Industrial environments have vastly changed sincethe conception of initial primitive and isolated networks. Thecurrent full interconnection paradigm, where connectivity be-tween different devices and the Internet has become ...
(River Publishers, 2018)