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Computing & Information Sciences

Discovering new, innovative methods and research opportunities in solving complex present-day and future computing challenges.

The Early Career Workshop brought together scholars from around the North America, to meet, share research, consider potential collaboration and sow the seeds of the network they will grow together. It is the initial workshop that will be the launching point for the creation of... READ MORE
Crowd-sensing is a popular way to sense and collect data using smartphones that reveals user behaviors and their correlations with device performance. PhoneLab is one of the largest crowd-sensing platform based on the Android system. Through experimental instrumentations and system modifications, researchers can tap into... READ MORE
In this paper, we study the power allocation problem for the downlink transmission in a set of closed-access femtocells which overlay a number of macrocells. We introduce a mutli-step pricing mechanism for the macrocells to control the cross-tier interference by femtocell transmissions without explicit coordination.... READ MORE
The goal of this covert channel is to prove the feasibility of using encrypted HTTPS traffic to carry a covert channel. The encryption key is not needed because the original HTTPS payload is not decrypted. The covert message will be appended to the HTTPS data... READ MORE
We describe the recent developments of an opensource project called RATCHET that can be used by groups of users to collectively construct attack trees. We present the RATCHET framework as well as a model for testing and evaluation of the produced attack trees. RATCHET has... READ MORE
In the increasingly connected world, cyber-physical systems (CPS) have been quickly adapted in many application domains, such as smart grids or healthcare. There will be more and more highly sensitive data important to the users being collected and processed in the cloud computing environments. Homomorphic... READ MORE
This study draws on design-based research on an ARIS–based mobile augmented reality game for teaching early 20th century history. New design principles derived from the study include the use of supra-reveals, and bias mirroring. Supra-reveals are a kind of foreshadowing event in order to ground... READ MORE
We demonstrate that recognition of scanned typeset mathematical expression images can be done by extracting maximum spanning trees from line of sight graphs weighted using geometric and visual density features. The approach used is hierarchical contextual parsing (HCP): Hierarchical in terms of starting with... READ MORE
In visually-oriented specialized medical domains such as dermatology and radiology, physicians explore interesting image cases from medical image repositories for comparative case studies to aid clinical diagnoses, educate medical trainees, and support medical research. However, general image classification and retrieval approaches fail in grouping... READ MORE
Though the smart electrical grid promises many advantages in efficiency and reliability, the risks to consumer privacy have impeded its deployment. Researchers have proposed protecting privacy by aggregating user data before it reaches the utility, using techniques of homomorphic encryption to prevent exposure of unaggregated... READ MORE
Elections are arguably the best way that a group of agents with preferences over a set of choices can reach a decision. This can include political domains, as well as multiagent systems in artificial-intelligence settings. It is well-known that every reasonable election system is... READ MORE