On the rationale of maximum-entropy methods

Jaynes, E. T.

doi:10.1109/proc.1982.12425

Cited by 1,421 publications

(829 citation statements)

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“…Leveraging on a celebrated information-theoretic rationale by Jaynes [43], the Shannon entropy of an apparent user profile, modeled as a PMF, may be regarded as a measure of privacy, or more accurately, anonymity. The leading idea is that the method of types [44] from information theory establishes an approximate monotonic relationship between the likelihood of a PMF in a stochastic system and its entropy.…”

Section: Privacy Metric Of Online Activitymentioning

confidence: 99%

Shall I post this now? Optimized, delay-based privacy protection in social networks

Parra-Arnau

Mármol²,

Rebollo-Monedero

et al. 2016

Knowl Inf Syst

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Abstract-Despite the several advantages commonly attributed to social networks such as easiness and immediacy to communicate with acquaintances and friends, significant privacy threats provoked by unexperienced or even irresponsible users recklessly publishing sensitive material are also noticeable. Yet, a different, but equally significant privacy risk might arise from social networks profiling the online activity of their users based on the timestamp of the interactions between the former and the latter. In order to thwart this last type of commonly neglected attacks, this paper proposes an optimized deferral mechanism for messages in online social networks. Such solution suggests intelligently delaying certain messages posted by end users in social networks in a way that the observed online-activity profile generated by the attacker does not reveal any time-based sensitive information, while preserving the usability of the system. Experimental results as well as a proposed architecture implementing this approach demonstrate the suitability and feasibility of our mechanism.

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Section: Privacy Metric Of Online Activitymentioning

confidence: 99%

Shall I post this now? Optimized, delay-based privacy protection in social networks

Parra-Arnau

Mármol²,

Rebollo-Monedero

et al. 2016

Knowl Inf Syst

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“…Thus, we need to concentrate also on the cooperation of the factor-order. [15] C. Measurement of Self-organization Level If the self-organization level of a system considers more than two levels, then of higher levels will be recursively determined by the extended entropy of lower levels. However, 's most probably will be very different on each level.…”

Section: ) Extended Entropy Based On Ordermentioning

confidence: 99%

An Approach of Self-Organizing Systems Based on Factor-Order Space

Li¹,

He²

2016

ijacsa

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Abstract-To explore new system self-organizing theory, it's urgent to find a new method in the system science. This paper combines factor space theory with system non-optimum theory, applies it into the research of system self-organizing theory and proposes new concepts as system factor space, object-factor and space-order relation. It constructs factor-space framework of system self-organizing based on factor mapping and object inversion, studies system ordering from a new perspective with optimum and non-optimum attributes as the basis of system uncertainty, and expands factor space theory from (0, ) fo to ( ,0) fo . The research suggests that the construction of system factor space is to build an information system capable of selflearning for system self-organization and better enhance functions of system self-organization by adopting information fusion of data analysis and perception judgment.

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“…It has a value of zero for two identical distributions and it increases with the increasing dissimilarity between two distributions [48,49]. Cross entropy is asymmetric CE(P 1 ,P 2 )≠CE(P 2 ,P 1 ).…”

Section: Cross Entropy Of Accent Modelsmentioning

confidence: 99%