Pattern recognition and machine learning techniques have been increasingly adopted in
adversarial settings such as spam, intrusion, and malware detection, although their security …

We study how potential attackers can identify accounts on different social network sites that
all belong to the same user, exploiting only innocuous activity that inherently comes with …

The importance of using real-world data to enable and validate dynamic network research
for the purposes of cyber security cannot be understated. Unfortunately, the use of real-world …

The unsolicited bulk messages are widespread in the applications of short messages.
Although the existing spam filters have satisfying performance, they are facing the challenge …

Provenance information corresponds to essential metadata that describes the entities, users,
and processes involved in the history and evolution of a data object. The benefits of tracking …

The recent rise in large scale trials of mobile software using'app stores' has moved current
researcher practice beyond available ethical guidelines. By surveying this recent and …

We are witnessing the transformation of the electricity sector into its new, enhanced
incarnation associated with the concepts of the smart grid or the Internet of Energy. The …

In recent years, critical infrastructures and power systems in particular have been subjected
to sophisticated cyberthreats, including targeted attacks and advanced persistent threats. A …

In recent years, there has been a lot of research on trajectory data analysis and mining.
Despite the fact that trajectories are multidimensional data characterized by the spatial, the …

For more effective decision making in preparation for and response to cyberevents in the
energy sector, multilevel situation awareness, from technical to strategic is essential. With an …