• Multimodal Data Fusion Using Source Separation: Two Effective Models Based on ICA and IVA and Their Properties 

  Adali, Tulay; Levin-Schwartz, Yuri; Calhoun, Vince D. (IEEE, 2015-09)

  Fusion of information from multiple sets of data in order to extract a set of features that are most useful and relevant for the given task is inherent to many problems we deal with today. Since, usually, very little ...

• Calculation of the impulse response and phase noise of a high-current photodetector using the drift-diffusion equations 

  Mahabadi, Seyed Ehsan Jamali; Wang, Shaokang; Carruthers, Thomas F.; Menyuk, Curtis R.; Quinlan, Franklyn J.; Hutchinson, Meredith N.; McKinney, Jason D.; Williams, Keith J. (OSA, 2019)

  We describe a procedure to calculate the impulse response and phase noise of high-current photodetectors using the drift-diffusion equations while avoiding computationally expensive Monte Carlo simulations. We apply this ...

• The CATS Hackathon: Creating and Refining Test Items for Cybersecurity Concept Inventories 

  Sherman, Alan T.; Oliva, Linda; Golaszewski, Enis; Phatak, Dhananjay; Scheponik, Travis; Herman, Geoffrey L.; Choi, Dong San; Offenberger, Spencer E.; Peterson, Peter; Dykstra, Josiah; Bard, Gregory V.; Chattopadhyay, Ankur; Sharevski, Filipo; Verma, Rakesh; Vrecenar, Ryan (2019-01-29)

  For two days in February 2018, 17 cybersecurity educators and professionals from government and industry met in a "hackathon" to refine existing draft multiple-choice test items, and to create new ones, for a Cybersecurity ...

• Scantegrity II Municipal Election at Takoma Park: The First E2E Binding Governmental Election with Ballot Privacy 

  Carback, Richard; Chaum, David; Clark, Jeremy; Conway, John; Essex, Aleksander; Herrnson, Paul S.; Mayberry, Travis; Popoveniuc, Stefan; Rivest, Ronald L.; Shen, Emily; Sherman, Alan T.; Vora, Poorvi L. (2009-11-03)

  On November 3, 2009, voters in Takoma Park, Maryland, cast ballots for the mayor and city council members using the Scantegrity II voting system—the first time any end-to-end (E2E) voting system with ballot privacy has ...

• An Examination of Vote Verification Technologies: Findings and Experiences from the Maryland Study 

  Sherman, Alan T.; Gangopadhyay, Aryya; Holden, Stephen H.; Karabatis, George; Koru, A. Gunes; Law, Chris M.; Norris, Donald F.; Pinkston, John; Sears, Andrew; Zhang, Dongsong (2006-04-15)

  We describe our findings and experiences from our technical review of vote verification systems for the Maryland State Board of Elections (SBE). The review included the following four systems for possible use together ...

• Punchscan with Independent Ballot Sheets: Simplifying Ballot Printing and Distribution with Independently Selected Ballot Halves 

  Carback III, Richard T.; Popoveniuc, Stefan; Sherman, Alan T.; Chaum, David (2007-06-15)

  We propose and implement a modification to the Punchscan protocol that simplifies ballot printing and distribution. In this improved version, each voter creates a ballot at the polling location by combining independently ...

• Catching the Cuckoo: Verifying TPM Proximity Using a Quote Timing Side-Channel 

  Fink, Russell A.; Sherman, Alan T.; Mitchell, Alexander O.; Challener, David C. (Springer, Berlin, Heidelberg, 2011-06-22)

  We present a Trusted Platform Module (TPM) application protocol that detects a certain man in the middle attack where an adversary captures and replaces a legitimate computing platform with an imposter that forwards ...

• A Conjunction, Language, and System Facets for Private Packet Filtering 

  Oehler, Michael; Phatak, Dhananjay S.; Sherman, Alan T. (ASE, 2013)

  Our contribution de nes a conjunction operator for private stream searching, integrates this operator into a high level language, and describes the system facets that achieve a realization of private packet ltering. Private ...

• Statistical Techniques for Language Recognition: An Introduction and Guide for Cryptanalysts 

  Ganesan, Ravi; Sherman, Alan T. (Taylor & Francis Online, 2010-06-04)

  We explain how to apply statistical techniques to solve several language-recognition problems that arise in cryptanalysis and other domains. Language recognition is important in cryptanalysis because, among other applications, ...

• Statistical Techniques For Language Recognition: An Empirical Study Using Real And Simulated English 

  Ganesan, Ravi; Sherman, Alan T. (Taylor & Francis, 2010-06-04)

  Computer experiments compare the effectiveness of five test statistics at recognizing and distinguishing several types of real and simulated English strings. These experiments measure the statistical power and robustness ...

• Design and implementation of FROST: Digital forensic tools for the OpenStack cloud computing platform 

  Dykstra, Josiah; Sherman, Alan T. (Elsevier B.V., 2013-08)

  We describe the design, implementation, and evaluation of FROST|three new forensic tools for the OpenStack cloud platform. Operated through the management plane, FROST provides the rst dedicated forensics capabilities ...

• Acquiring Forensic Evidence from Infrastructure-as-a-Service Cloud Computing: Exploring and Evaluating Tools, Trust, and Techniques 

  Dykstra, Josiah; Sherman, Alan T. (2012-08-06)

  We expose and explore technical and trust issues that arise in acquiring forensic evidence from infrastructure-as-aservice cloud computing and analyze some strategies for addressing these challenges. First, we create a ...

• Scantegrity III: Automatic Trustworthy Receipts, Highlighting Over/Under Votes, and Full Voter Verifiability 

  Sherman, Alan T.; Fink, Russell A.; Carback, Richard; Chaum, David (2017)

  Building on lessons learned from the November 2009 Scantegrity II election in Takoma Park, MD, we propose improvements to the Scantegrity II voting system that (1) automatically print trustworthy receipts for easier on-line ...

• Understanding Issues in Cloud Forensics: Two Hypothetical Case Studies 

  Dykstra, Josiah; Sherman, Alan T. (2011-05-25)

  The inevitable vulnerabilities and criminal targeting of cloud environments demand an understanding of how digital forensic investigations of the cloud can be accomplished. We present two hypothetical case studies of cloud ...

• Key Establishment in Large Dynamic Groups Using One-Way Function Trees 

  Sherman, Alan T.; McGrew, David A. (IEEE, 2003-05-21)

  We present, implement, and analyze a new scalable centralized algorithm, called OFT, for establishing shared cryptographic keys in large, dynamically changing groups. Our algorithm is based on a novel application of one-way ...

• HappyFeet: Challenges in Building an Automated Dance Recognition and Assessment Tool 

  Faridee, Abu Zaher Md; Ramamurthy, Sreenivasan Ramasamy; Roy, Nirmalya (ACM, 2018-09)

  In this paper, we discuss our experience in building an automated dance assessment tool with IMU and IoT devices and highlight the major challenges of such an endeavor. In a typical dance classroom scenario, where the ...

• Estimating Buildings’ Parameters over Time Including Prior Knowledge 

  Pathak, Nilavra; Foulds, James; Roy, Nirmalya; Banerjee, Nilanjan; Robucci, Ryan (2019-02-04)

  Modeling buildings’ heat dynamics is a complex process which depends on various factors including weather, building thermal capacity, insulation preservation, and residents’ behavior. Graybox models offer an explanation ...

• Analysis of Data Mining Algorithms 

  Joshi, Karuna Pande (1997-03-30)

  A comparative study of algorithms used in Data Mining. This paper was written as part of the MS course work for Advanced Algorithms.

• On Mining Web Access Logs 

  Joshi, Anupam; Joshi, Karuna; Krishnapuram, Raghu (1999-10-24)

  The proliferation of information on the world wide web has made the personalization of this information space a necessity. One possible approach to web personalization is to mine typical user profiles from the vast amount ...

• Towards High-order Accurate Numerical Simulation of Unsteady Flow Physics over Domains with Large Deformation 

  Yu, Meilin; Liu, Kan; Wang, Lai (AIAA, 2019)

  This paper presents the development of a high-order flux reconstruction (FR) formulation for unsteady flow simulation with dynamic grid algorithms. Specifically, the high-order FR formulation for the Navier-Stokes equations ...

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