Reza Curtmola

Cloud services have revolutionized computing in the modern world. In an increasingly networked ecosystem, it is commonplace for enterprises and private parties alike to leverage cloud services for storage and compute. The most obvious benefits include scalability, increased availability, and the potential for reduced costs when compared to lower-scale on premise infrastructures. In addition, cloud-hosted data (and compute) is accessible across platforms and is not limited by geographical constraints making collaboration attractively viable. However, the benefits of outsourcing data and computation come with security and privacy concerns. This monograph explores the advances in cloud security research across both industry and academia, with a special focus on secure infrastructure, services and storage. Besides overviewing the state of the art, the monograph highlights open problems, and possible future research directions. Cloud security is a broad topic encompassing concepts from a large cross section of domains. To make this monograph concise and meaningful, several topics and challenges that are almost entirely specific to clouds are covered. For this reason, general computing security topics such as intrusion detection, software protection, phishing etc. are excluded. While these are important building blocks that need to be considered in an end-to-end cloud-centric design, they have been extensively addressed elsewhere. The publication is divided into three parts based on a broad clustering into hardware, computation, and storage. The monograph should appeal to researchers, students and professionals who work on Cloud Computing in general, and Cloud Security specifically.

Mobile crowdsensing is a technology that allows large scale, cost-effective sensing of the physical world. In mobile crowdsensing, mobile personal devices such as smart phones or smart watches come equipped with a variety of sensors that can be leveraged to collect data related to environment, transportation, healthcare, safety and so on. This book presents the first extensive coverage of mobile crowdsensing, with examples and insights drawn from the authors’ extensive research on this topic as well as from the research and development of a growing community of researchers and practitioners working in this emerging field. Throughout the text, the authors provide the reader with various examples of crowdsensing applications and the building blocks to creating the necessary infrastructure, explore the related concepts of mobile sensing and crowdsourcing, and examine security and privacy issues introduced by mobile crowdsensing platforms.Provides a comprehensive description of mobile crowdsensing, a one-stop shop for all relevant issues pertaining to mobile crowdsensing, including motivation, applications, design and implementation, incentive mechanisms, and reliability and privacy. Describes the design and implementations of mobile crowdsensing platforms of great interest for the readers working in research and industry to quickly implement and test their systems. Identifies potential issues in building such mobile crowdsensing applications to ensure their usability in real life and presents future directions in mobile crowdsensing by emphasizing the open problems that have to be addressed.

Mobile crowdsensing is a technology that allows large scale, cost-effective sensing of the physical world. In mobile crowdsensing, mobile personal devices such as smart phones or smart watches come equipped with a variety of sensors that can be leveraged to collect data related to environment, transportation, healthcare, safety and so on. This book presents the first extensive coverage of mobile crowdsensing, with examples and insights drawn from the authors’ extensive research on this topic as well as from the research and development of a growing community of researchers and practitioners working in this emerging field. Throughout the text, the authors provide the reader with various examples of crowdsensing applications and the building blocks to creating the necessary infrastructure, explore the related concepts of mobile sensing and crowdsourcing, and examine security and privacy issues introduced by mobile crowdsensing platforms.Provides a comprehensive description of mobile crowdsensing, a one-stop shop for all relevant issues pertaining to mobile crowdsensing, including motivation, applications, design and implementation, incentive mechanisms, and reliability and privacy. Describes the design and implementations of mobile crowdsensing platforms of great interest for the readers working in research and industry to quickly implement and test their systems. Identifies potential issues in building such mobile crowdsensing applications to ensure their usability in real life and presents future directions in mobile crowdsensing by emphasizing the open problems that have to be addressed.