This SpringerBrief covers modeling and analysis of Denial-of-Service attacks in emerging wireless and mobile applications. It uses an application-specific methodology to model and evaluate denial-of-service attacks. Three emerging applications are explored: multi-modal CSMA/CA networks, time-critical networks for the smart grid, and smart phone applications. The authors define a new performance…
The series “Studies in Systems, Decision and Control” (SSDC) covers both new developments and advances, as well as the state of the art, in the various areas of broadly perceived systems, decision making and control- quickly, up to date and with a high quality. The intent is to cover the theory, applications, and perspectives on the state of the art and future developments relevant to s…
This book constitutes the refereed proceedings of the 12th International Conference on Mobile Web and Intelligent Information Systems, MobiWIS 2015, held in Rome, Italy, in August 2015. The 17 full papers and 3 short papers presented were carefully reviewed and selected from 55 submissions. The papers are organized in topical sections such as mobile services and applications; usability and visu…
This brief presents a stochastic microscopic mobility model that describes the temporal changes of intervehicle distances. The model is consistent with simulated and empirical vehicle traffic patterns. Using stochastic lumpability methods, the proposed mobility model is mapped into an aggregated mobility model that describes the mobility of a group of vehicles. In addition, the proposed mobilit…
This book constitutes the post-proceedings of the 7th International Conference on Mobile Networks and Management, MONAMI 2015, held in Santander, Spain, in September 2015. The 16 full papers were carefully reviewed and selected from 24 submissions. In addition there appears one short and 5 invited papers. These are organized thematically in five parts starting with Cellular Network Management …
A concise and self-contained introduction to causal inference, increasingly important in data science and machine learning. The mathematization of causality is a relatively recent development, and has become increasingly important in data science and machine learning. This book offers a self-contained and concise introduction to causal models and how to learn them from data. After explaining th…
Posture and Gesture Recognition for Human-Computer Interaction
Graph Theory and Analysis of Biological Data in Computational Biology
Efficient Computation for Pairing Based Cryptography: A State of the Art
Wireless Communication Protocols for Distributed Computing Environments