Towards a Black-Box Security Evaluation Framework

2021 ◽  
pp. 79-92
Author(s):  
Mosabbah Mushir Ahmed ◽  
Youssef Souissi ◽  
Oualid Trabelsi ◽  
Sylvain Guilley ◽  
Antoine Bouvet ◽  
...  
Keyword(s):  
Black Box ◽  
Evaluation Framework ◽  
Security Evaluation

scholarly journals How to fool a black box machine learning based side-channel security evaluation

2021 ◽  
Author(s):  
Charles-Henry Bertrand Van Ouytsel ◽  
Olivier Bronchain ◽  
Gaëtan Cassiers ◽  
François-Xavier Standaert
Keyword(s):  
Machine Learning ◽  
Black Box ◽  
Security Evaluation ◽  
Side Channel

scholarly journals A Security Evaluation Framework for U.K. E-Government Services Agile Software Development

2016 ◽  
Vol 8 (2) ◽  
pp. 51-69 ◽  
Author(s):  
Steve Harrison ◽  
Antonis Tzounis ◽  
Leandros Maglaras ◽  
Francois Siewe ◽  
Richard Smith ◽  
...  
Keyword(s):  
Software Development ◽  
Agile Software Development ◽  
Evaluation Framework ◽  
Security Evaluation ◽  
Government Services ◽  
Agile Software

scholarly journals A Cyber Security Evaluation Framework for In-Vehicle Electrical Control Units

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Haichun Zhang ◽  
Yuqian Pan ◽  
Zhaojun Lu ◽  
Jie Wang ◽  
Zhenglin Liu
Keyword(s):  
Cyber Security ◽  
Evaluation Framework ◽  
Security Evaluation ◽  
Electrical Control ◽  
Control Units

Valoración de la plataforma ASEF como base para detección de malware en aplicaciones Android

Ingenium ◽  
2014 ◽  
Vol 8 (21) ◽  
pp. 11
Author(s):  
Manuel Fernando Fuentes Amaya ◽  
Johan Alberto Gómez Girón
Keyword(s):  
Evaluation Framework ◽  
Security Evaluation ◽  
Android Security

El Android Security Evaluation Framework [ASEF] fue seleccionado por el proyecto Safe Candy como punto de partida para el desarrollo de un aplicativo para control de malware en teléfonos inteligentes con sistema operativo Android, debido a sus características, presentadas en Black-Hat 2012, que lo mostraban como una herramienta poderosa, innovadora y de gran potencial. Como primera actividad, el proyecto realizó una valoración del nivel de avance y la confiabilidad de ASEF, buscando determinar su validez como base de desarrollo e identificar el punto de partida para la generación de la aplicación esperada. Las pruebas de funcionamiento, exactitud y rapidez realizadas, mostraron debilidades y pendientes en el framework, resultado que generó la necesidad de redefinir la metodología prevista, con base en la cual el proyecto desarrolló un sistema para el análisis, la validación y el diagnóstico de aplicaciones Android, que integra –aunque solo de manera complementaria– a la plataforma ASEF. Al producto final se le realizó el mismo set de pruebas, obteniendo una tasa de éxito de 100%

Sustainability Evaluation of Green Urban Logistics Systems

2018 ◽  
pp. 103-134 ◽  
Author(s):  
Jesus Gonzalez-Feliu
Keyword(s):  
Sustainable Development ◽  
Black Box ◽  
Evaluation Framework ◽  
Box Model ◽  
Methodological Framework ◽  
Assessment And Evaluation ◽  
Logistics Systems ◽  
Future Developments ◽  
Initial Stage ◽  
The Subject

This paper aims to propose a systemic vision of literature on sustainable urban logistics assessment and evaluation. Although non-extensive, this overview pretends lack of unification in the subject of assessing and evaluating the impacts of green urban logistics systems, and, through the proposal of a general assessment and evaluation framework, the steps done and being in course towards standards on this field. First, an overview of the research in urban logistics is provided, after what the main visions of sustainable development and their derived issues for urban logistics assessment and evaluation are presented. Then, a framework to assess and evaluate green urban logistics systems via scenario comparison is proposed. This framework aims to propose a methodological framework to use and combine existing methods to assess scenarios, and not a “black-box” model of software ready to use. This is done to make synergies between existing methods, and to show that, although they remain at an initial stage, steps on the way of defining standards are made. After that, the main applicability and application issues of the proposed methodological framework are addressed, showing those principles of standard from the literature. Finally, and to conclude, future developments on urban logistics research are proposed.

Sustainability Evaluation of Green Urban Logistics Systems

2020 ◽  
pp. 155-186 ◽  
Author(s):  
Jesus Gonzalez-Feliu
Keyword(s):  
Sustainable Development ◽  
Black Box ◽  
Evaluation Framework ◽  
Box Model ◽  
Methodological Framework ◽  
Assessment And Evaluation ◽  
Logistics Systems ◽  
Future Developments ◽  
Initial Stage ◽  
The Subject

This paper aims to propose a systemic vision of literature on sustainable urban logistics assessment and evaluation. Although non-extensive, this overview pretends lack of unification in the subject of assessing and evaluating the impacts of green urban logistics systems, and, through the proposal of a general assessment and evaluation framework, the steps done and being in course towards standards on this field. First, an overview of the research in urban logistics is provided, after what the main visions of sustainable development and their derived issues for urban logistics assessment and evaluation are presented. Then, a framework to assess and evaluate green urban logistics systems via scenario comparison is proposed. This framework aims to propose a methodological framework to use and combine existing methods to assess scenarios, and not a “black-box” model of software ready to use. This is done to make synergies between existing methods, and to show that, although they remain at an initial stage, steps on the way of defining standards are made. After that, the main applicability and application issues of the proposed methodological framework are addressed, showing those principles of standard from the literature. Finally, and to conclude, future developments on urban logistics research are proposed.

A user oriented cloud security evaluation framework

2015 ◽  
Vol 3 (2) ◽  
pp. 168
Author(s):  
Syed Rizvi ◽  
Kelsey Karpinski ◽  
Brennen Kelly ◽  
Taryn Walker
Keyword(s):  
Cloud Security ◽  
Evaluation Framework ◽  
Security Evaluation

scholarly journals Machine Learning Based Automotive Forensic Analysis for Mobile Applications Using Data Mining

2015 ◽  
Vol 16 (2) ◽  
pp. 350
Author(s):  
MD. Hussain Khan ◽  
G. Pradeepini
Keyword(s):  
Machine Learning ◽  
Data Mining ◽  
Mobile Apps ◽  
Forensic Analysis ◽  
Evaluation Framework ◽  
Security Evaluation ◽  
Analysis Framework ◽  
Security Issues ◽  
The People ◽  
Using Data

<p>Phone is a device which provides communication between the people through voice, text, video etc. Now a day’s people may leave without food but not without using phones. No of operating systems are working with various versions and various security issues are working. Security is very important task in Mobiles and mobile apps. To improve the security status of mobiles, existing methodology is using cloud computing and data mining. Out traditional method is named as MobSafe to identify the mobile apps antagonism or graciousness. In the proposed system, we adopt Android Security Evaluation Framework (ASEF) and Static Android Analysis Framework (SAAF).In this paper, our proposed system works on machine learning to conduct automotive forensic analysis of mobile apps based on the generated multifaceted data in this stage.</p>

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