Submitted by Norman Sadeh on Tue, 01/02/2018 - 9:44pm
Natural language privacy policies have become a de facto standard to address expectations of notice and choice on the Web. Yet, there is ample evidence that users generally do not read these policies and that those who occasionally do struggle to understand what they read. Initiatives aimed at addressing this problem through the development of machine implementable standards or other solutions that require website operators to adhere to more stringent requirements have run into obstacles, with many website operators showing reluctance to commit to anything more than what they currently do.
This frontier project tackles many of the fundamental research challenges necessary to provide trustworthy information systems for health and wellness, as sensitive information and health-related tasks are increasingly pushed into mobile devices and cloud-based services.
The objective of this project is to investigate a comprehensive image privacy recommendation system, called iPrivacy (image Privacy), which can efficiently and automatically generate proper privacy settings for newly shared photos that also considers consensus of multiple parties appearing in the same photo. Photo sharing has become very popular with the growing ubiquity of smartphones and other mobile devices.
Modern networks are often federated in nature---i.e., they are an interoperation between independent networks spanning multiple administrative domains. For example, in many enterprises, different business units control various logical segments of the network, but share common resources, such as routers, firewalls, and load-balancers. In such federated systems, the correct enforcement of network security policies relies on interactions that span multiple administrative domains.
Submitted by Prabhat Mishra on Wed, 01/03/2018 - 3:51pm
To reduce production cost while meeting time-to-market constraints, semiconductor companies usually design hardware systems with reusable hardware modules, popularly known as Intellectual Property (IP) blocks. Growing reliance on these hardware IPs, often gathered from untrusted third-party vendors, severely affects the security and trustworthiness of the final system. The hardware IPs acquired from external sources may come with deliberate malicious implants, undocumented interfaces working as hidden backdoor, or other integrity issues.
The Computational Cybersecurity in Compromised Environments (C3E) is a community of interest that has annually gathered, since its inception in 2009, to address some of the most arduous challenges of cybersecurity. Through these annual workshops, organizers bring together a diverse group of top academic, commercial, and government experts to discuss innovative approaches to the cybersecurity challenges facing our Nation. This travel grant will support an estimated twenty-five travelers to the 2014 C3E workshop.
