The networked and increasingly ubiquitous nature of today’s data management services mandates assurances to detect and deter malicious or faulty behavior. This is particularly relevant for outsourced data frameworks in which clients place data management with specialized service providers. Clients are reluctant to place sensitive data under the control of a foreign party without assurances of c...

Collaborative artificial intelligence systems (CAISs) aim to work with humans in a shared space achieve common goal, but this can pose hazards that could harm human beings. We identify emerging problems context and report our vision of progress toward risk-driven assurance process for CAISs.

Organizational information practices can result in a variety of privacy problems that can increase consumers’ concerns for information privacy. To explore the link between individuals and organizations regarding privacy, we study how institutional privacy assurances such as privacy policies and industry self-regulation can contribute to reducing individual privacy concerns. Drawing on Communica...

Recent work in the area of statistical QoS has demonstrated that a) statistical envelopes can lead to large gains in utilization, b) easily enforced deterministic envelopes can be used to obtain such statistical envelopes, c) end-to-end performance bounds can be provided with high utilization targets if rate-controlled scheduling disciplines are employed on every node. In this paper we examine ...

Digital transmission is acquiring an ever increasing role in a variety of modern applications. As most of these applications demand data security assurances in order to be accepted by potential users and to be able to produce the desired results, there is an increasing demand for cryptographic techniques capable of providing these assurances. In paradigms like the mobile phone networks or IP ne...

Profit is the main participation incentive for social network providers. Its reliance on user profiles, built from a wealth of voluntarily revealed personal information, exposes users to a variety of privacy vulnerabilities. In this paper, we propose to take first steps toward addressing the conflict between profit and privacy in geosocial networks. We introduce PROFILR , a framework for constr...