Now showing items 270-289 of 304

    • Towards Adaptive Big Data Cyber-attack Detection via Semantic Link Networks 

      Karabatis, George; Wang, Jianwu; AlEroud, Ahmed (Research Gate, 2016-07)
      As a core mechanism for cybersecurity, the ability to detect cyber-attacks is increasingly critical nowadays. There have been many types of network intrusion detection approaches, such as flow-based and packet-based, ...
    • Towards Baselines for Shoulder Surfing on Mobile Authentication 

      Aviv, Adam J.; Davin, John T.; Wolf, Flynn; Kuber, Ravi (Association for Computing Machinery, 2017-12)
      Given the nature of mobile devices and unlock procedures, unlock authentication is a prime target for credential leaking via shoulder surfing, a form of an observation attack. While the research community has investigated ...
    • Towards developing assistive haptic feedback for visually impaired internet users 

      Kuber, Ravi; Yu, Wai; McAllister, Graham (Association for Computing Machinery, 2007-04)
      Haptic technologies are thought to have the potential to help blind individuals overcome the challenges experienced when accessing the Web. This paper proposes a structured participatory-based approach for developing ...
    • Towards Effective Technical Debt Decision Making in Software Startups: Early-Stage 

      Aldaeej, Abdullah (Association for Computing Machinery, 2019-11)
      Technical Debt (TD) is a metaphor used to describe outstanding software maintenance tasks or shortcuts made in the software development to achieve short-term benefits (i.e. time to market), but negatively impact the software ...
    • Towards identifying and classifying navigation strategies among individuals with diverse disabilities 

      Gupta, Maya; Kuber, Ravi; Branham, Stacy M. (iSchools, 2019-03-15)
      In this paper, we describe a study examining navigation practices of individuals with disabilities – including people with visual, mobility, and cognitive disabilities, as well as older adults – towards identifying and ...
    • Towards identifying distinguishable tactons for use with mobile devices 

      Qian, Huimin; Kuber, Ravi; Sears, Andrew (Association for Computing Machinery, 2009-10)
      This paper describes a study designed to identify salient tactile cues which can be integrated with a cellular telephone interface, to provide non-visual feedback to users when accessing mobile applications. A set of tactile ...
    • Towards More Universal Wayfinding Technologies: Navigation Preferences Across Disabilities 

      Gupta, Maya; Abdolrahmani, Ali; Edwards, Emory; Cortez, Mayra; Tumang, Andrew; Majali, Yasmin; Lazaga, Marc; Tarra, Samhitha; Patil, Prasad; Kuber, Ravi; Branham, Stacy M.
      Accessibility researchers have been studying wayfinding technologies for people with disabilities for decades, typically focusing on solutions within disability populations - for example, technologies to support blind ...
    • Towards Non-Observable Authentication for Mobile Devices 

      Wolf, Flynn; Kuber, Ravi; Aviv, Adam J. (USENIX, 2016-06-22)
      When faced with the threat of observational attacks, mobile device users may attempt to mask the graphical interface to authenticate entry, to reduce the likelihood of third parties viewing and recreating the authentication ...
    • Towards Supporting Mobile Device Users Facing Severely Constraining Situational Impairments 

      Saulynas, Sidas; Kuber, Ravi (ACM, 2018)
      A subset of “Situationally Induced Impairments and Disabilities” (SIID), termed “Severely Constraining Situational Impairments” (SCSI), was explored at the user task and motivational level, to better understand the challenges ...
    • Towards supporting situational awareness using tactile feedback 

      Wolf, Flynn; Feldman, Philip; Kuber, Ravi (IEEE, 2014-04-17)
      In this paper, we describe an approach with the aim of supporting individuals engaged with a task where the eyes are occupied to monitor obstacles within their wider environment. A head-mounted interface has been developed ...
    • Towards Understanding Connections between Security/Privacy Attitudes and Unlock Authentication 

      Aviv, Adam J.; Kuber, Ravi (USEC, 2018-02-01)
      In this study, we examine the ways in which user attitudes towards privacy and security relating to mobile devices and the data stored thereon may impact the strength of unlock authentication, focusing on Android's graphical ...
    • Two Tier Analysis of Social Media Collaboration for Student Migration 

      Razavisousan, Ronak; Joshi, Karuna P. (IEEE, 2019-12-14)
      Global adoption of Social Media as the preferred medium for collaboration and information exchange is increasingly reshaping social realities and facilitating new research methodologies in various disciplines. Social Media ...
    • UMBC at SemEval-2018 Task 8: Understanding Text about Malware 

      Padia, Ankur; Roy, Arpita; Satyapanich, Taneeya W.; Ferraro, Francis; Pan, Shimei; Park, Youngja; Joshi, Anupam; Finin, Tim (2018-06-05)
      We describe the systems developed by the UMBC team for 2018 SemEval Task 8, SecureNLP (Semantic Extraction from CybersecUrity REports using Natural Language Processing). We participated in three of the sub-tasks: (1) ...
    • Understanding automated and human-based technical debt identification approaches-a two-phase study 

      Spínola, Rodrigo O.; Zazworka, Nico; Vetro, Antonio; Shull, Forrest; Seaman, Carolyn (Springer London, 2019-06-08)
      Context The technical debt (TD) concept inspires the development of useful methods and tools that support TD identification and management. However, there is a lack of evidence on how different TD identification tools ...
    • Universal Design: An Intercultural Perspective 

      Hamidi, Foad (ASSOCIATION ON HIGHER EDUCATION AND DISABILITY (AHEAD), 2017-11-17)
      Universal Design (UD) is an effective approach for creating inclusive and accessible systems and services for individuals with diverse abilities. In this presentation, we describe how we used UD in an intercultural context. ...
    • Unseen Activity Recognitions: A Hierarchical Active Transfer Learning Approach 

      Alam, Mohammad Arif Ul; Roy, Nirmalya (IEEE, 2017-07-17)
      Human activity recognition (AR) is an essential element for user-centric and context-aware applications. While previous studies showed promising results using various machine learning algorithms, most of them can only ...
    • UnTran: Recognizing Unseen Activities with Unlabeled data using Transfer Learning 

      Khan, Md Abdullah Al Hafiz; Roy, Nirmalya (IEEE, 2018)
      The success and impact of activity recognition algorithms largely depends on the availability of the labeled training samples and adaptability of activity recognition models across various domains. In a new environment, ...
    • The User Privacy of Adaptive Assistive Technologies 

      Hamidi, Foad; Poneres, Kellie; Massey, Aaron; Hurst, Amy
      Adaptive assistive technologies monitor user activity and dynamically change their functionality and/or appearance to improve system usability [3, 4]. These systems provide a high degree of customizability, the importance ...
    • A User Study on a De-biased Career Recommender System 

      Wang, Clarice; Wang, Kathryn; Bian, Andrew; Islam, Rashidul; Keya, Kamrun Naher; Foulds, James R.; Pan, Shimei
      AI is increasingly being used in making consequential decisions such as determining whether someone is granted parole or not (Angwin et al., 2016). Unfortunately, there have been a wide range of recent discoveries of biased ...
    • User-centric Smart Services 

      Joshi, Karuna Pande; Yesha, Yelena; Ozok, Ant; Yesha, Yaacov (2009-11-02)
      In this position paper we describe our vision for the next generation of IT services. Services will be automatically discovered, procured and integrated with the service consumer’s technical environment. This whole process ...