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6 Aug 2018 ... To merge or manage PDF files, you'll need either a free but limited ... like the thumbnail views in Adobe Reader and other commercial software . When using cryptography techniques, it is also possible to provide position Con dentiality, preventing malicious nodes and entities from gathering network information that could e used in other attacks or to search for uncovered areas in the sensor eld (since the intruder would have access to the nodes positions) The good news is that cryptography can be used to protect against externally deployed hostile nodes that could execute any of the attacks cited However, in the presence of compromised nodes in the local network, the attackers gain access to locally stored keys and passwords, which compromises the whole functioning of any cryptographic system For this reason, most secure localization algorithms use noncryptographic security techniques, as will be shown in the next sections, and rely on cryptography as a second line of defense. pdf compressor software filehippo: Introducing PDF Compressor Version 8 – The ... - Foxit Software pdf combine software PDFsam
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This is the case in the HiRLoc [24], SeRLoc [25], and ROPE [26] localization algorithms, in which ef cient cryptography is used to secure beacon transmissions In SPINE [27], cryptography can be used to make an authenticated distance estimation, while it is used in reference 28 to assist the detection of malicious beacon nodes In most cases, it is assumed that network nodes can establish pairwise secret keys Due to the limited availability of processor and memory resources in sensor nodes, cryptography is avoided in some works However, it is a gray area, since, in most cases, if we need secure localization, we will also need secure media access, secure data routing and transfer, secure time synchronization, and a lot of other secure algorithms, all of which could take advantage of the same stored keys and implemented cryptographic algorithms In these cases, cryptography can be a very plausible solution. 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One technique detects malicious beacon nodes by comparing the distance estimated by using the location information provided by these beacon nodes and the distance estimated by means of the signal (eg, RSSI, TDoA, AoA) Another technique evaluates the round-trip time (RTT) between two neighbors, based on the observation that the replay of a (malicious) beacon signal introduces extra delay Then, the base station (or sink node) uses such information about malicious beacons to reason about the suspiciousness of each beacon node, and then it lters out malicious beacon nodes accordingly Srinivasan et al [29] extends the techniques proposed by Liu et al [28] by using a continuous scale and a reputation- and trust-based mechanism The result is the Distributed Reputation-based Beacon Trust System (DRBTS), which is a distributed security protocol for excluding malicious beacon nodes. 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