Attribute-Based Encryption in the Generic Group Model

Author(s):  
Miguel Ambrona ◽  
Gilles Barthe ◽  
Romain Gay ◽  
Hoeteck Wee
Author(s):  
Piyi Yang ◽  
Tanveer A Zia

A set of attributes instead of a single string to represent the signer’s identity is a challenging problem under standard cryptographic assumption in the standard model. Therefore, designing a fully secure (adaptive-predicate unforgeable and perfectly private) Attribute-Based Signature (ABS) that allows a signer to choose a set of attributes is vital. Existing schemes are either too complicated or have only been proved in the generic group model. In this chapter, the authors present an efficient fully secure ABS scheme in the standard model based on q-parallel BDHE assumption, which is more practical than the generic group model used in the previous schemes. The proposed scheme is highly expressive since it allows any signer to specify claim-predicates in terms of any predicate consisting of AND, OR, and Threshold gates over the attributes in the system. ABS has found many important applications in secure communications, such as anonymous authentication systems and attribute-based messaging systems.


2021 ◽  
pp. 587-617
Author(s):  
Balthazar Bauer ◽  
Georg Fuchsbauer ◽  
Antoine Plouviez

Author(s):  
P. Sudheer ◽  
T. Lakshmi Surekha

Cloud computing is a revolutionary computing paradigm, which enables flexible, on-demand, and low-cost usage of computing resources, but the data is outsourced to some cloud servers, and various privacy concerns emerge from it. Various schemes based on the attribute-based encryption have been to secure the cloud storage. Data content privacy. A semi anonymous privilege control scheme AnonyControl to address not only the data privacy. But also the user identity privacy. AnonyControl decentralizes the central authority to limit the identity leakage and thus achieves semi anonymity. The  Anonymity –F which fully prevent the identity leakage and achieve the full anonymity.


2015 ◽  
Vol 1 (3) ◽  
pp. 69
Author(s):  
Arjan Skuka

Despite the fact that introductory programming courses (IPCs) are taught at universities for more than thirty years, students still find computer programming very difficult to learn. Programming pedagogy deals with the methods and principles of teaching and learning computer programming. The programming pedagogical approaches that have been proposed to increase the efficiency of teaching and learning computer programming mostly focus on the tools, paradigms, programming languages and environments used in IPCs. To increase significantly the students’ success rates in IPCs, these approaches should be complemented with pedagogical explanation (PE) methods. This research is focused on a PE method of teaching sequential search of a matrix row (SSMR). The research was designed as experimental study with pretest-posttest control group model, involving students of Computer Engineering department Izmir University. While the experimental group was subjected to a pedagogical explanation method, a traditional explanation method was applied in the control group. To collect the research data, an achievement pretest, posttest and a questionnaire were developed and applied. The research findings showed the effectiveness of teaching SSMR by using a PE method. This method positively influenced students’ level of topic comprehension, which consequently improved their achievements. In order for students to understand better the other matrix programming operations, similar PE methods should be developed and used in IPCs. On a more general level, the results of this research suggested that PE methods should be developed and used for other topics that students usually find difficult to understand in IPCs. Using these methods can be a very important factor in significantly increasing students’ success in IPCs.


Sign in / Sign up

Export Citation Format

Share Document