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An access and inference control model for time series databases
, Article Future Generation Computer Systems ; Volume 92 , 2019 , Pages 93-108 ; 0167739X (ISSN) ; Amini, M ; Sharif University of Technology
Elsevier B.V
2019
Abstract
Today, many applications produce and use time series data. The data of this type may contain sensitive information. So they should be protected against unauthorized accesses. In this paper, security issues of time series data are identified and an access and inference control model for satisfying the identified security requirements is proposed. Using this model, administrators can define authorization rules based on various time-based granularities (e.g. day or month) and apply value-based constraints over the accessed times series data. Furthermore, they can define policy rules over the composition of multiple time-series other than the base time-series data. Detecting and resolving...
Exam HIP
, Article 2007 IEEE International Workshop on Anti-counterfeiting, Security, Identification, ASID, Xizmen, 16 April 2007 through 18 April 2007 ; 2007 , Pages 415-418 ; 1424410355 (ISBN); 9781424410354 (ISBN) ; Shirali Shahreza, M ; Movaghar, A ; Sharif University of Technology
2007
Abstract
Nowadays a great deal of information is circulated through the Internet. Some of it exclusively belongs to a special group of people and requires protection and safeguarding against unauthorized access. To this end some systems called HIP (Human Interactive Proofs) have been introduced to tell humans and computers apart or various groups of people apart. In this paper, a new method for telling users apart by help of showing picture of a multiplechoice question has been presented. This multiple-choice question is related to some protected information in the field of user's profession. Since picture of question is viewed the computer cannot answer it. On the other hand, only experts and...