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presents an overview of the designed architecture of the communication system as well as some descriptions of its major building blocks. Since a mobile system including personal devices and applications often contains considerable amounts of person-speci c data about a user, it is very important that the privacy protection measures in place are suf cient to ensure users trust in the system. At the same time it must be possible for the user to share information in an ef cient and straightforward way with parties the user trusts. The basic approach adopted is therefore that privacy control is user-centric. The user must always be in control of how her data is shared, with whom and under which circumstances. This user control is realised by user-de ned privacy policies. Section 6.2 describes how the system presented in this chapter is designed to enable users to trust it. The trust architecture permits user control over data access. The use of the Group Awareness Function (GAF) to connect this access to group management enables the control of access to personal data at an individual Context Provider level, and using policies integrated with the group management enables the management of data in a ne-grained way. How well does the system correspond to the requirements of the users How does the user visualise the privacy policies Both these aspects have been investigated in privacy research, but not in terms of a context-based system. Section 6.3 discusses how to visualise user choices regarding groups, privacy and trust. Section 6.4 is a short conclusion.

Purchase a wireless print server that has the same interface as the one on your printer (the interface will be serial, parallel, USB, or Ethernet).

the trust relationship between the operating system and DBMS software. SQL Server authentication requires a login-name and a password. Regardless of how a login has been established, to work with a given database, a login must use a database user. A database user represents a login inside a database. As a result, a given login can work with multiple databases using multiple database users. Figure 3.1 depicts multilevel authentication approaches for Oracle and SQL Server. In a DBE, the DBA is responsible for managing user accounts, logins, and user-names.

Although the majority of links were good, 10% of the nodes exhibited a packet rate loss greater than 50% As a result, the value of the COUNT aggregate, which reports the total number of active sensor nodes in the network, uctuated greatly over time The infrastructure presented for wireless sensor network monitoring consists of three classes of software [45]: 1 The rst component consists of a tool such as dump that is used to collect detailed information about the system state This is used to provide debugging information about the sensor nodes and also report any logged information kept by the nodes over a period of time 2 The second category of tool is referred to as scans These constitute a global, albeit aggregated view, of the wireless sensor network and report metrics such as overall resource consumption.

An example of a scan is an escan whereby a special user-gateway node initiates state information collection from the entire system However, instead of all nodes relaying their power level information, data collected is aggregated en route in order to minimize the amount of information propagated throughout the network 3 The nal category of tool is referred to as digests, which are simply aggregates of some network property Digests span the entire network, but unlike scans, they are computed continuously Computed information is propagated throughout the network by piggybacking digests onto regular messages transmitted throughout the sensor network Clearly, the energy savings achieved is offset by the increased latency The second contribution entails the design of protocols to enable computation of network digests Values such as node energy level, degree of connectivity, and volume of traf c, are considered Decomposable functions (ie.

, functions that can be expressed in terms of another function) such as sum, min, max, average, and count are applied to these analyzed values Digest computation is accomplished using digest diffusion, which implicitly builds a broadcast tree where computed partial results of decomposable functions are propagated toward the root For example, assume a connected homogeneous wireless sensor network exists where all nodes are equipped with thermal sensors that record the ambient temperature Initially, every node assumes it has observed the highest temperature reading and exchanges this information with its immediate neighbors A node, upon receiving a temperature measurement from a neighboring node, adjusts the source of the highest reading, if necessary, and propagates this information throughout the broadcast tree Eventually, all nodes converge on the same maximal temperature reading Broadcast tree maintenance is required as nodes fail over the lifetime of the wireless sensor network.