摘要 :
The evolution of the Information and Communication Technology has radically changed our electronic lives, making information the key driver for today's society. Every action we perform requires the collection, elaboration, and dis...
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The evolution of the Information and Communication Technology has radically changed our electronic lives, making information the key driver for today's society. Every action we perform requires the collection, elaboration, and dissemination of personal information. This situation has clearly brought a tremendous exposure of private and sensitive information to privacy breaches.In this chapter, we describe how the techniques developed for protecting data have evolved in the years. We start by providing an overview of the first privacy definitions (k-anonymity, l-diversity, t-closeness, and their extensions) aimed at ensuring proper data protection against identity and attribute disclosures. We then illustrate how changes in the underlying assumptions lead to scenarios characterized by different and more complex privacy requirements. In particular, we show the impact on privacy when considering multiple releases of the same data or dynamic data collections, fine-grained privacy definitions, generic privacy constraints, and the external knowledge that a potential adversary may exploit for inferring sensitive information. We also briefly present the concept of differential privacy that has recently emerged as an alternative privacy definition.
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摘要 :
The evolution of the Information and Communication Tech-nology has radically changed our electronic lives, making information the key driver for today's society. Every action we perform requires the collection, elaboration, and di...
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The evolution of the Information and Communication Tech-nology has radically changed our electronic lives, making information the key driver for today's society. Every action we perform requires the collection, elaboration, and dissemination of personal information. This situation has clearly brought a tremendous exposure of private and sen-sitive information to privacy breaches.In this chapter, we describe how the techniques developed for protect-ing data have evolved in the years. We start by providing an overview of the first privacy definitions (k-anonymity, l-diversity, t-closeness, and their extensions) aimed at ensuring proper data protection against iden-tity and attribute disclosures. We then illustrate how changes in the underlying assumptions lead to scenarios characterized by different and more complex privacy requirements. In particular, we show the impact on privacy when considering multiple releases of the same data or dy-namic data collections, fine-grained privacy definitions, generic privacy constraints, and the external knowledge that a potential adversary may exploit for inferring sensitive information. We also briefly present the concept of differential privacy that has recently emerged as an alternaI ve privacy definition.
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摘要 :
This keynote discusses the following; Music Recommendation and Play based on Content and SNS Analysis; On Efficient, Scalable and Secure System Virtualizations; Cloud Control Systems; Scheduling the Charging Behavior of Plug-in El...
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This keynote discusses the following; Music Recommendation and Play based on Content and SNS Analysis; On Efficient, Scalable and Secure System Virtualizations; Cloud Control Systems; Scheduling the Charging Behavior of Plug-in Electric Taxies in Smart Grid; Smart Home Technologies for Smart Cities; Data Security and Privacy in Emerging Scenarios; There is plenty of things at the bottom - Challenges and opportunities for the Internet of Things at the micro-scale; Mobile Crowd Sensing for Smart City; Toward a Smart Cyberspace: Data-driven Visual Content Understanding and Production; Simplifying Complex Smart Services through Ubiquitous and Overlay Technologies; In-Memory Computing: New Architecture for Big Data Processing; Management of Heterogeneous Big Data Sources in Cloud Environments.
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摘要 :
This keynote discusses the following; Music Recommendation and Play based on Content and SNS Analysis; On Efficient, Scalable and Secure System Virtualizations; Cloud Control Systems; Scheduling the Charging Behavior of Plug-in El...
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This keynote discusses the following; Music Recommendation and Play based on Content and SNS Analysis; On Efficient, Scalable and Secure System Virtualizations; Cloud Control Systems; Scheduling the Charging Behavior of Plug-in Electric Taxies in Smart Grid; Smart Home Technologies for Smart Cities; Data Security and Privacy in Emerging Scenarios; There is plenty of things at the bottom - Challenges and opportunities for the Internet of Things at the micro-scale; Mobile Crowd Sensing for Smart City; Toward a Smart Cyberspace: Data-driven Visual Content Understanding and Production; Simplifying Complex Smart Services through Ubiquitous and Overlay Technologies; In-Memory Computing: New Architecture for Big Data Processing; Management of Heterogeneous Big Data Sources in Cloud Environments.
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摘要 :
Cloud computing has emerged as a successful paradigm allowing individual users as well as companies to resort to external providers for storing/processing data or making them available to others. Together with the many benefits, c...
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Cloud computing has emerged as a successful paradigm allowing individual users as well as companies to resort to external providers for storing/processing data or making them available to others. Together with the many benefits, cloud computing introduces however new security and privacy risks. A major issue is that the data owner, storing data at external providers, loses control over them, leaving them potentially exposed to improper access, use, or dissemination. In this chapter, we consider the problem of protecting confidentiality of sensitive information when relying on external cloud providers for storing and processing data. We introduce confidentiality requirements and then illustrate encryption and data fragmentation as possible protection techniques. In particular, we discuss different approaches that have been proposed using encryption (with indexing) and fragmentation, either by themselves or in combination, to satisfy confidentiality requirements.
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摘要 :
Cloud computing has emerged as a successful paradigm allowing individual users as well as companies to resort to external providers for storing/processing data or making them available to others. Together with the many benefits, c...
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Cloud computing has emerged as a successful paradigm allowing individual users as well as companies to resort to external providers for storing/processing data or making them available to others. Together with the many benefits, cloud computing introduces however new security and privacy risks. A major issue is that the data owner, storing data at external providers, loses control over them, leaving them potentially exposed to improper access, use, or dissemination. In this chapter, we consider the problem of protecting confidentiality of sensitive information when relying on external cloud providers for storing and processing data. We introduce confidentiality requirements and then illustrate encryption and data fragmentation as possible protection techniques. In particular, we discuss different approaches that have been proposed using encryption (with indexing) and fragmentation, either by themselves or in combination, to satisfy confidentiality requirements.
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摘要 :
The proliferation of mobile devices has given rise to novel user-centric applications and services. In current mobile systems, users gain access to remote servers over mobile network operators. These operators are typically assume...
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The proliferation of mobile devices has given rise to novel user-centric applications and services. In current mobile systems, users gain access to remote servers over mobile network operators. These operators are typically assumed to be trusted and to manage the information they collect in a privacy-preserving way. Such information, however, is extremely sensitive and coveted by many companies, which may use it to improve their business. In this context, safeguarding the users' privacy against the prying eyes of the network operators is an emerging requirement.In this chapter, we first present a survey of existing state-of-the-art protection mechanisms and their challenges when deployed in the con-text of wired and wireless networks. Moreover, we illustrate recent and ongoing research that attempts to address different aspects of privacy in mobile applications. Furthermore, we present a new proposal to ensure private communication in the context of hybrid mobile networks, which integrate wired, wireless and cellular technologies. We conclude by outlining open problems and possible future research directions.
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Recent enhancements in location technologies reliability and precision are fostering the development of a new wave of applications that make use of the location information of users. Such applications in-troduces new aspects of ac...
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Recent enhancements in location technologies reliability and precision are fostering the development of a new wave of applications that make use of the location information of users. Such applications in-troduces new aspects of access control which should be addressed. On the one side, precise location information may play an important role and can be used to develop Location-based Access Control (LBAC) systems that integrate traditional access control mechanisms with conditions based on the physical position of users. On the other side, location information of users can be considered sensitive and access control solutions should be developed to protect it against unauthorized accesses and disclosures. In this chapter, we address these two aspects related to the use and protec-tion of location information, discussing existing solutions, open issues, and some research directions.
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摘要 :
Internet provides unprecedented opportunities for the collection and sharing of privacy-sensitive information from and about users. Information about users is collected every day, as they join associations or groups, shop for groc...
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Internet provides unprecedented opportunities for the collection and sharing of privacy-sensitive information from and about users. Information about users is collected every day, as they join associations or groups, shop for groceries, or execute most of their common daily activities. Such information is subsequently processed, exchanged and shared between different parties; with users often having little control over their personal information once it has been disclosed to third parties. Privacy is then becoming an increasing concern. In this paper we discuss some problems to be addressed in the protection of information in our electronic society, surveying ongoing work and open issues to be investigated.
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摘要 :
The availability of a multitude of data sources has naturally increased the need for subjects to collaborate for distributed computations, aimed at combining different data collections for their elaboration and analysis. Due to th...
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The availability of a multitude of data sources has naturally increased the need for subjects to collaborate for distributed computations, aimed at combining different data collections for their elaboration and analysis. Due to the quick pace at which collected data grow, often the authorities collecting and owning such datasets resort to external third parties (e.g., cloud providers) for their storage and management. Data under the control of different authorities are autonomously encrypted (using a different encryption scheme and key) for their external storage. This makes distributed computations combining these sources hard. In this paper, we propose an approach enabling collaborative computations over data encrypted in storage, selectively involving also subjects that might not be authorized for accessing the data in plaintext when it is considered economically convenient.
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