@article {18531,
	title = {Model-Free Fault Detection and Isolation in Large-Scale Cyber-Physical Systems},
	journal = {IEEE Transactions on Emerging Topics in Computational Intelligence},
	volume = {1},
	year = {2017},
	month = {Feb},
	pages = {61-71},
	keywords = {Change detection algorithms, clustering methods, Computational modeling, cyber-physical systems, Fault detection, Hidden Markov models, monitoring, Sensor phenomena and characterization, Sensor systems},
	doi = {10.1109/TETCI.2016.2641452},
	author = {Alippi, Cesare and Ntalampiras, Stavros and Roveri, Manuel}
}
@conference {18515,
	title = {Spotting the Malicious Moment: Characterizing Malware Behavior Using Dynamic Features},
	booktitle = {2016 11th International Conference on Availability, Reliability and Security (ARES)},
	year = {2016},
	month = {08/2016},
	address = {Salzburg, Austria},
	keywords = {Android applications, Androids, automatic mobile application analysis, dynamic features, Feature extraction, Humanoid robots, informative malware identification, invasive software, learning (artificial intelligence), local malicious behavior detection, machine learning, malicious activity, malware, malware behavior characterization, malware detection tools, mobile computing, mobile devices, Mobile handsets, monitoring, pattern classification, program diagnostics, resource usage, security, system calls, user protection},
	doi = {10.1109/ARES.2016.70},
	author = {Ferrante, Alberto and Mercaldo, Francesco and Milosevic, Jelena and Visaggio, Corrado Aaron},
	editor = {Medvet, Eric}
}
@conference {95.FiPaSi09,
	title = {MPSoCs Run-Time Monitoring through Networks-on-Chip},
	booktitle = {The 2009 Conference on Design, Automation and Test In Europe (DATE{\textquoteright}09)},
	year = {2009},
	month = {April/2009},
	address = {Nice, France},
	abstract = {Networks-on-Chip (NoCs) have appeared as design strategy to overcome the limitations, in terms of scalability, efficiency, and power consumption of current buses. In this paper, we discuss the idea of using NoCs to monitor system behaviour at run-time by tracing activities at initiators and targets. Main goal of the monitoring system is to retrieve information useful for run-time optimization and resources allocation in adaptive systems. Information detected by probes embedded within NIs is sent to a central unit, in charge of collecting and elaborating the data. We detail the design of the basic blocks and analyse the overhead associated with the ASIC implementation of the monitoring system, as well as discussing implications in terms of the additional traffic generated in the NoC.},
	keywords = {monitoring, network-on-chip (NoC)},
	author = {Fiorin, Leandro and Palermo, Gianluca and Silvano, Cristina}
}
