@inbook {18466,
	title = {Malware Threats and Solutions for Trustworthy Mobile Systems Design},
	booktitle = {Hardware Security and Trust: Design and Deployment of Integrated Circuits in a Threatened Environment},
	year = {2017},
	pages = {149-167},
	publisher = {Springer},
	organization = {Springer},
	edition = {First edition; 2016},
	keywords = {malware, mobile systems, security metric, trusting},
	doi = {https://doi.org/10.1007/978-3-319-44318-8_8},
	author = {Milosevic, Jelena and Regazzoni, Francesco and Malek, Miroslaw}
}
@conference {18461,
	title = {MalAware: Effective and Efficient Run-time Mobile Malware Detector},
	booktitle = {The 14th  IEEE International Conference on Dependable,  Autonomic and Secure Computing (DASC 2016)},
	year = {2016},
	month = {08/2016},
	publisher = {IEEE Computer Society Press},
	organization = {IEEE Computer Society Press},
	address = {Auckland, New Zealand},
	author = {Milosevic, Jelena and Ferrante, Alberto and Malek, Miroslaw}
}
@conference {18503,
	title = {A Methodology for Proactive Maintenance of Uninterruptible Power Supplies},
	booktitle = {Latin-American Symposium on Dependable Computing  (LADC2016) - Workshop on Dependability in Evolving Systems (WDES)},
	year = {2016},
	month = {10/2016},
	address = {Cali, Colombia},
	abstract = {We propose a methodology for proactive maintenance of Uninterruptible Power Supply (UPS) devices based on online health-status monitoring and application of data analytics for prediction of UPS components{\textquoteright} failures. The goals of the work are (i) improvement of reliability of UPS devices by ensuring prompt action prior to a failure of a component, and (ii) provision of more cost-effective maintenance by servicing the device only when required instead of periodically. Improving reliability of UPS{\textquoteright}es also enhances dependability of critical infrastructures that require high quality power supply.},
	author = {Lukovi{\'c}, Slobodan and Kaitovi{\'c}, Igor and Lecuona, Gerardo and Malek, Miroslaw}
}
@inbook {18024,
	title = {Modeling Responsiveness of Decentralized Service Discovery in Wireless Mesh Networks},
	booktitle = {MMB \& DFT},
	series = {Lecture Notes in Computer Science},
	volume = {8376},
	year = {2014},
	pages = {88-102},
	publisher = {Springer International Publishing Switzerland},
	organization = {Springer International Publishing Switzerland},
	abstract = {In modern service networks, discovery plays a crucial role as a layer where providing instances of a given service can be published and enumerated. Since successful discovery is mandatory for service usage, comprehensive service dependability assessment needs to incorporate the dependability of the discovery layer. This work focuses on the responsiveness of the discovery layer, the probability to operate successfully within a deadline, even in the presence of faults. It proposes a hierarchy of stochastic models for decentralized discovery and uses it to describe the discovery of a single service using three well-known discovery protocols: domain name system based service discovery (DNS-SD), simple service discovery protocol (SSDP) and service location protocol (SLP). Further, a methodology to use the model hierarchy in wireless mesh networks is introduced. Given a pair service requester and provider, a discovery protocol and a deadline, it estimates packet loss probabilities and transmission time distributions for each link on the communication paths between the pair, generates specific model instances and calculates the expected responsiveness. Finally, the paper introduces a new metric, the expected responsiveness distance d_er to estimate the maximum distance from a provider where requesters are still able to discover it with a required responsiveness. The models and their methodology are demonstrated using monitoring data from the distributed embedded systems (DES) testbed at Freie Universit{\"a}t Berlin. It is shown how the responsiveness and d_er of the protocols change depending on the position of requester and provider and the overall link quality in the network.},
	keywords = {fault tolerance, Markov Models, Real time systems, Responsiveness, Service Discovery, Wireless mesh networks},
	isbn = {978-3-319-05358-5},
	issn = {0302-9743},
	doi = {10.1007/978-3-319-05359-2_7},
	url = {http://andreas-dittrich.eu/2013/12/modeling-responsiveness-of-decentralized-service-discovery-in-wireless-mesh-networks},
	author = {Dittrich, Andreas and Lichtblau, Bj{\"o}rn and Rezende, Rafael and Malek, Miroslaw},
	editor = {Fischbach, K. and Krieger, U. R.}
}
