Now showing items 167-186 of 911

    • A Data Driven Approach for the Science of Cyber Security: Challenges and Directions 

      Thuraisingham, Bhavani; Kantarcioglu, Murat; Hamlen, Kevin; Khan, Latifur; Finin, Tim; Joshi, Anupam; Oates, Tim; Bertino, Elisa (IEEE, 2016-12-19)
      This paper describes a data driven approach to studying the science of cyber security (SoS). It argues that science is driven by data. It then describes issues and approaches towards the following three aspects: (i) Data ...
    • Data Integrity Attack in Smart Grid: Optimized Attack to Gain Monetary Economic Profit 

      Khanna, Kush; Panigrahi, Bijaya Ketan; Joshi, Anupam (IET, 2016-12-08)
      The cyber-physical security of power grid has gained more attention in the research community due to integration of information and communication technologies. Smart meters are vulnerable to cyber-threats and if the security ...
    • A Data Intensive Reputation Management Scheme for Vehicular Ad Hoc Networks 

      Patwardhan, Anand; Joshi, Anupam; Finin, Tim; Yesha, Yelena (IEEE, 2006-07-21)
      In vehicular ad hoc networks individual vehicles can help each other locate resources and establish trustworthiness under highly dynamic conditions, lacking any centralized trust authority. To ascertain the accuracy and ...
    • A database-based distributed computation architecture with Accumulo and D4M: An application of eigensolver for large sparse matrix 

      Huang, Yin; Yesha, Yelena; Zhou, Shujia (IEEE, 2015-12-28)
      NoSQL distributed databases have been devised to tackle the challenges resulting from volume, velocity and variety of big data. Graph representation of datasets requires efficient distributed linear algebra operations for ...
    • A Declarative Approach for Secure and Robust Routing 

      Kodeswaran, Palanivel Andiappan; Joshi, Anupam; Finin, Tim; Perich, Filip (ACM, 2010-10-04)
      Many Internet failures are caused by misconfigurations of the BGP routers that manage routing of traffic between domains. The problems are usually due to a combination of human errors and the lack of a high-level language ...
    • Declarative Policies for Describing Web Service Capabilities and Constraints 

      Kagal, Lalana; Finin, Tim; Joshi, Anupam (2004-10-13)
      Though the description of capabilities and constraints for web services is an important problem, we believe that is it part of a much larger problem : controlling the behavior of autonomous entities in open, dynamic ...
    • Deep Discriminative Learning for Autism Spectrum Disorder Classification 

      Zhang, Mingli; Zhao, Xin; Zhang, Wenbin; Chaddad, Ahmad; Evans, Alan; Poline, Jean Baptiste (Springer, Cham, 2020-09-14)
      Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder characterized by deficiencies in social, communication and repetitive behaviors. We propose imaging-based ASD biomarkers to find the neural patterns ...
    • A Deep Learning Approach to Understanding Cloud Service Level Agreements 

      Saha, Srishty; Joshi, Karuna Pande; Gupta, Aditi (2017-05-24)
      Educational organizations, like Universities and School Systems, are rapidly adopting Cloud based services to provide Information Technology (IT) infrastructure to their students. These include course offerings, class ...
    • Deep Learning for Category-Free Grounded Language Acquisition 

      Pillai, Nisha; Ferraro, Francis; Matuszek, Cynthia (Association for Computational Linguistics (ACL), 2019-06)
      We propose a learning system in which language is grounded in visual percepts without pre-defined category constraints. We present a unified generative method to acquire a shared semantic/visual embedding that enables a ...
    • A Deep Learning Model for Detecting Dust in Earth's Atmosphere from Satellite Remote Sensing Data 

      Hou, Ping; Guo, Pei; Wu, Peng; Wang, Jianwu; Gangopadhyay, Aryya; Zhang, Zhibo (IEEE, 2020-11-06)
      In this paper we develop a deep learning model to distinguish dust from cloud and surface using satellite remote sensing image data. The occurrence of dust storms is increasing along with global climate change, especially ...
    • Deep Understanding of a Document's Structure 

      Rahman, Muhammad Mahbubur; Finin, Tim (ACM, 2017-12-05)
      Current language understanding approaches focus on small documents, such as newswire articles, blog posts, product reviews and discussion forum discussions. Understanding and extracting information from large documents ...
    • DeepCAMP: Deep Convolutional Action & Attribute Mid-Level Patterns 

      Diba, Ali; Pazandeh, Ali Mohammad; Pirsiavash, Hamed; Gool, Luc Van (IEEE, 2016-12-12)
      The recognition of human actions and the determination of human attributes are two tasks that call for fine-grained classification. Indeed, often rather small and inconspicuous objects and features have to be detected to ...
    • Deformation Embedding for Point-Based Elastoplastic Simulation 

      Jones, Ben; Ward, Stephen; Jallepalli, Ashok; Perenia, Joseph; Bargteil, Adam W. (ACM, 2014-03)
      We present a straightforward, easy-to-implement, point-based approach for animating elastoplastic materials. The core idea of our approach is the introduction of embedded space—the least-squares best fit of the material’s ...
    • Delegated Authorization Framework for EHR Services using Attribute Based Encryption 

      Joshi, Maithilee; Joshi, Karuna Pande; Finin, Tim (IEEE, 2019-05-20)
      Medical organizations find it challenging to adopt cloud-based Electronic Health Records (EHR) services due to the risk of data breaches and the resulting compromise of patient data. Existing authorization models follow a ...
    • A Delegation Based Model for Distributed Trust 

      Kagal, Lalana; Finin, Timothy; Peng, Yun (2001-08-01)
      In this paper we outline an infrastructure that facilitates security and trust management in a multi-agent system. Our model eases the problem of authorization in a network of heterogeneous agents and also contains ...
    • Delta TFIDF: An Improved Feature Space for Sentiment Analysis 

      Martineau, Justin; Finin, Tim (AAAI, 2009-05-17)
      Mining opinions and sentiment from social networking sites is a popular application for social media systems. Common approaches use a machine learning system with a bag of words feature set. We present Delta TFIDF, an ...
    • Demo Abstract: A Microphone Sensor based System for Green Building Applications 

      Khan, MD Abdullah Al Hafiz; Lu, Sheung; Roy, Nirmalya; Pathak, Nilavra (IEEE, 2015-06-29)
      Acoustic sensing has influenced many applications in green building energy management, such as designing multi-modal energy disaggregation algorithms through fine-grained appliance state identifications or efficiently ...
    • Demo: FaceBlock: privacy-aware pictures for google glass 

      Yus, Roberto; Pappachan, Primal; Das, Prajit Kumar; Mena, Eduardo; Joshi, Anupam; Finin, Tim (ACM SIGMOBILE, 2014-06-16)
      FaceBlock takes regular pictures taken by your smartphone or Google Glass as input and converts them into Privacy-Aware Pictures. These pictures are generated by using a combination of Face Detection and Face Recognition ...
    • Density of modes and tunneling times in finite one-dimensional photonic crystals: A comprehensive analysis 

      D’Aguanno, G.; Mattiucci, N.; Scalora, M.; Bloemer, M. J.; Zheltikov, A. M. (American Physical Society, 2004-07-29)
      We present a unified treatment of density of modes and tunneling times in finite, one-dimensional photonic crystals. We exploit connections and differences between the various approaches used to calculate the density of ...
    • Density of Modes for 2D finite photonic crystal structures 

      Sportiello, D.; Sibilia, C.; Felbacq, D.; D’Aguanno, G.; Centini, M.; Settimi, A.; Bertolotti, M.
      The density of modes for an open cavity constituted by a finite 2D photonic crystal is discussed. Modes depend on the cavity excitation and on the finite transverse and longitudinal confinement introduced by the finite sizes.