Abstract Machine learning techniques are a set of mathematical models to solve high non-
linearity problems of different topics: prediction, classification, data association, data …

Smartphones are pervasively used in society, and have been both the target and victim of
malware writers. Motivated by the significant threat that presents to legitimate users, we …

Malware is a rapidly increasing menace to modern computing. Malware authors continually
incorporate various sophisticated features like code obfuscations to create malware variants …

Mean-field deterministic epidemic models have been successful in uncovering several
important dynamic properties of stochastic epidemic spreading processes over complex …

There are the two common means for propagating worms: scanning vulnerable computers in
the network and spreading through topological neighbors. Modeling the propagation of …

Online social networks (OSN) have become one of the major platforms for people to
exchange information. Both positive information (eg, ideas, news and opinions) and …

Restraining the spread of rumors in online social networks (OSNs) has long been an
important but difficult problem to be addressed. Currently, there are mainly two types of …

The proliferation of the Internet of Things (IoT) devices has provided attackers with
tremendous opportunities to launch various cyber-attacks. It has been challenging to …

The past decade has seen a rapidly growing interest in IoT-connected devices. But as is
usually the case with computer systems and networks, malicious individuals soon realized …

Social network worms, such as email worms and facebook worms, pose a critical security
threat to the Internet. Modeling their propagation dynamics is essential to predict their …