Ahmed Elkhodary & Jon Whittle : "A Survey of Approaches to Adaptive Security", International Workshop on Software Engineering for Adaptive and Self-Managing System (SEAMS’07)
The document summarizes a bike ride taken along beaches in Rio de Janeiro, Brazil. It describes stopping between Ipanema and Copacabana beaches to take a break and view the scenery. The bike ride continued along Copacabana Beach with a view of Sugarloaf Mountain in the background, and ended at Lagoa Rodrigo de Freitas lake after renting bikes from a suspicious man and stopping at a free exercise park on Copacabana Beach.
LeveLotto is a weekly lottery drawing where participants pay $5 to join and $2 per week to stay active. Participants recruit new members and earn $5 for each new recruit up to 10 people, then $10 per recruit after that. The more people in one's downline network, the higher the chances of winning a portion of the weekly pot if someone in your downline wins. Payouts are based on the level of the winner in one's recruitment tree.
The document summarizes a bike ride taken along beaches in Rio de Janeiro, Brazil. It describes stopping between Ipanema and Copacabana beaches to take a break and view the scenery. The bike ride continued along Copacabana Beach with a view of Sugarloaf Mountain in the background, and ended at Lagoa Rodrigo de Freitas lake after renting bikes from a suspicious man and stopping at a free exercise park on Copacabana Beach.
LeveLotto is a weekly lottery drawing where participants pay $5 to join and $2 per week to stay active. Participants recruit new members and earn $5 for each new recruit up to 10 people, then $10 per recruit after that. The more people in one's downline network, the higher the chances of winning a portion of the weekly pot if someone in your downline wins. Payouts are based on the level of the winner in one's recruitment tree.
中身はほぼ以下の論文紹介です!
Soremekun, E., Papadakis, M., Cordy, M., & Traon, Y. Le. (2022). Software Fairness: An Analysis and Survey. ArXiv. Retrieved from http://arxiv.org/abs/2205.08809
This document discusses some of the challenges in developing AI systems that utilize machine learning. It notes that machine learning systems rely on probabilities and statistics based on training data, making quality assurance difficult. It is also difficult to fully understand and interpret models from deep neural networks. The document suggests that new approaches are needed for developing machine learning-based systems, as traditional software engineering approaches do not work well. Establishing the field of "machine learning engineering" is important for building AI systems that can reliably ensure quality.
WM2SP16 Keynote: Current and Future challenge of Model and Modelling on Secur...Nobukazu Yoshioka
My talk includes current models and modelling on Security and Privacy: Conceptual Models such as SIG, Common Criteria, STIX, SCPM, UML based models such as Misusecase, UMLsec, secureUML, and GORE models such as SecureTropos, i*/Tropos, KAOS etc.
Additionally, research challenges on the Security and Privacy Model and Modelling are discussed.
Operation on Models on Security and Privacy with consistency
Hybrid Models on Security and Privacy
Big data and Machine Learning on Security and Privacy Modelling
WM2SP16 Keynote: Current and Future challenge of Model and Modelling on Secur...
A Survery of Approaches to Adaptive Securityの紹介
1. A Survey of Approaches to Adaptive
Securityの紹介
Nobukazu Yoshioka
Copyright 2012 GRACE Center All Rights Reserved.
2. Survey Paper
A Survey of Approaches to Adaptive Security
Ahmed Elkhodary & Jon Whittle (George mason University)
International Workshop on Software Engineering for Adaptive
and Self-Managing System (SEAMS’07)
Contributions
Adaptive Securityの対応度合いを評価するための6つの
Dimension(軸)を規定 MDD+Adaptation
Security Service:
Tolerance軸, Authorization軸, Authentication軸
Adaptation Model:
Computational Paradigm軸, Reconfiguration Scale軸,
Conflict Handling軸
従来の提案(4事例)をこの尺度で評価
将来の研究の方向性を示す
Copyright 2012 GRACE Center All Rights Reserved. 2