第二届IEEE国际云环境安全身份管理研讨会 The 2nd IEEE International Workshop on Secure Identity Management in the Cloud Environment

活动简介

While identity management solutions are increasingly migrating to cloud, conventional identity management approaches are facing challenges in trust, security, privacy, computational efficiency, interoperability, and service reliability in the cloud environment. Security concerns are reportedly among the biggest inhibitors holding back the wider adoption of cloud computing. Secure identity management, required by emerging cloud services, is receiving increasing attention from both service providers' and end user's perspectives, in terms of protection of enterprise assets and customers' privacy in the cloud, respectively. This workshop solicits contributions describing state-of-the-art methodology and technology innovations in the field of secure identity management in the cloud computing environment, encourages experience sharing (both positive and negative ones), and also welcomes disruptive work-in-progress ideas towards future concepts.

征稿信息

征稿范围

Any submission whose content is relevant to the area of secure identity management in the cloud environment will be considered, but any submission shose subect matter is related to one of the following 2 track topics will be particularly welcome. Practically oriented approaches will also be considered.

Track 1: Concept design and enabling technologies
· new concept design of IDM towards cloud
· identity authentication outsourcing as a service
· technologies for enhancing privacy and security of customer data and social media (biometrics, multi-factor authentication, mobile devices)
· data processing and analysis in a protected domain for personal data management
· service-oriented architecture for IDM in cloud

Track 2: Applications and evaluations
· cross-border IDM
· security and privacy enhanced IDM for eCommerce, eCitizen, and eHealth in cloud
· case study of security breaches of IDM in cloud
· privacy and security evaluation for services in cloud