Titlebook: Risks and Security of Internet and Systems; 14th International C Slim Kallel,Frédéric Cuppens,Ahmed Hadj Kacem Conference proceedings 2020

拋媚眼

QUANT: A User-Centered Privacy Risk Analysis Frameworkntion takes place once the data is out of her control. In this paper, we present a user-centered privacy risk quantification framework coupled with granular and usable privacy risk warnings. The framework takes a new approach in that it empowers users to take informed privacy protection decisions prior to unintended data disclosure.

顧客

羊欄

RAFF

0302-9743 rmission; secure embedded systems; network and cloud security; information security policy; data protection and machine learning for security; distributed detection system and blockchain..978-3-030-41567-9978-3-030-41568-6Series ISSN 0302-9743 Series E-ISSN 1611-3349

olfction

0302-9743 IS 2019, held in Hammamet, Tunisia, in October 2019..The 20 full papers and 4 short papers presented in this volume were carefully reviewed and selected from 64 submissions. They cover diverse research themes that range from classic topics, such as risk analysis and management; access control and pe

沐浴

祝賀

An Industrial Trial of an Approach to Identification and Modelling of Cybersecurity Risks in the Con safety, within the context of smart power grids. The approach, which consisted of a process and a modelling language, was a partially customized version of the existing “CORAS” risk-analysis approach. As a part of the study, feasibility of the approach was evaluated by applying it on an industrial

choleretic

Pulmonary-Veins

Systematic Asset Identification and Modeling During Requirements Engineering documenting them systematically in an asset model are the key activities in any risk management approach. Based on the ISO/IEC 27005 standard, the consideration of assets consists of two major activities: (i) asset identification, and (ii) asset valuation. However, despite the crucial role of asset

finale

Inference Control in Distributed Environment: A Comparison Study into the desired object, however these models fail to protect sensitive data from being accessed with inference channels. An inference channel is produced by the combination of a legitimate response which the user receives from the system and metadata. Detecting and removing inference in database s