Catálogo de publicaciones - revistas
ACM Computing Surveys (CSUR)
Resumen/Descripción – provisto por la editorial en inglés
A journal of the Association for Computing Machinery (ACM), which publishes surveys, tutorials, and special reports on all areas of computing research. Volumes are published yearly in four issues appearing in March, June, September, and December.Palabras clave – provistas por la editorial
No disponibles.
Disponibilidad
Institución detectada | Período | Navegá | Descargá | Solicitá |
---|---|---|---|---|
No detectada | desde mar. 1969 / hasta dic. 2023 | ACM Digital Library |
Información
Tipo de recurso:
revistas
ISSN impreso
0360-0300
ISSN electrónico
1557-7341
Editor responsable
Association for Computing Machinery (ACM)
País de edición
Estados Unidos
Fecha de publicación
1969-
Cobertura temática
Tabla de contenidos
doi: 10.1145/3558095
A Survey of User Perspectives on Security and Privacy in a Home Networking Environment
Nandita Pattnaik; Shujun Li; Jason R.C. Nurse
<jats:p>The security and privacy of smart home systems, particularly from a home user’s perspective, have been a very active research area in recent years. However, via a meta-review of 52 review papers covering related topics (published between 2000 and 2021), this paper shows a lack of a more recent literature review on user perspectives of smart home security and privacy since the 2010s. This identified gap motivated us to conduct a systematic literature review (SLR) covering 126 relevant research papers published from 2010 to 2021. Our SLR led to the discovery of a number of important areas where further research is needed; these include holistic methods that consider a more diverse and heterogeneous range of home devices, interactions between multiple home users, complicated data flow between multiple home devices and home users, some less-studied demographic factors, and advanced conceptual frameworks. Based on these findings, we recommended key future research directions, e.g., research for a better understanding of security and privacy aspects in different multi-device and multi-user contexts, and a more comprehensive ontology on the security and privacy of the smart home covering varying types of home devices and behaviors of different types of home users.</jats:p>
Palabras clave: General Computer Science; Theoretical Computer Science.
Pp. No disponible
doi: 10.1145/3558766
Technical Requirements and Approaches in Personal Data Control
Junsik Sim; Beomjoong Kim; Kiseok Jeon; Moonho Joo; Jihun Lim; Junghee Lee; Kim-Kwang Raymond Choo
<jats:p>There has been a trend of moving from simply de-identification to providing extended data control to their owner (e.g., data portability, and right to be forgotten), partly due to the introduction of the General Data Protection Regulation (GDPR). Hence, in this paper we survey the literature to provide an in-depth understanding of the existing approaches for personal data control (e.g., we observe that most existing approaches are generally designed to facilitate compliance), as well as the privacy regulations in Europe, United Kingdom, California, South Korea, and Japan. Based on the review, we identify the associated technical requirements, as well as a number of research gaps and potential future directions (e.g., the need for transparent processing of personal data and establishment of clear procedure in ensuring personal data control).</jats:p>
Palabras clave: General Computer Science; Theoretical Computer Science.
Pp. No disponible
doi: 10.1145/3557999
Mobile Augmented Reality: User Interfaces, Frameworks, and Intelligence
Jacky Cao; Kit-Yung Lam; Lik-Hang Lee; Xiaoli Liu; Pan Hui; Xiang Su
<jats:p>Mobile Augmented Reality (MAR) integrates computer-generated virtual objects with physical environments for mobile devices. MAR systems enable users to interact with MAR devices, such as smartphones and head-worn wearables, and perform seamless transitions from the physical world to a mixed world with digital entities. These MAR systems support user experiences using MAR devices to provide universal access to digital content. Over the past 20 years, several MAR systems have been developed, however, the studies and design of MAR frameworks have not yet been systematically reviewed from the perspective of user-centric design. This article presents the first effort of surveying existing MAR frameworks (count: 37) and further discuss the latest studies on MAR through a top-down approach: (1) MAR applications; (2) MAR visualisation techniques adaptive to user mobility and contexts; (3) systematic evaluation of MAR frameworks, including supported platforms and corresponding features such as tracking, feature extraction, and sensing capabilities; and (4) underlying machine learning approaches supporting intelligent operations within MAR systems. Finally, we summarise the development of emerging research fields and the current state-of-the-art, and discuss the important open challenges and possible theoretical and technical directions. This survey aims to benefit both researchers and MAR system developers alike.</jats:p>
Palabras clave: General Computer Science; Theoretical Computer Science.
Pp. No disponible
doi: 10.1145/3556973
Advancing SDN: from OpenFlow to P4, a Survey
Athanasios Liatifis; Panagiotis Sarigiannidis; Vasileios Argyriou; Thomas Lagkas
<jats:p>Software Defined Networking (SDN) marked the beginning of a new era in the field of networking by decoupling the control and forwarding processes through the OpenFlow protocol. The Next Generation SDN is defined by Open Interfaces and full programmability of the data plane. P4 is a domain specific language that fulfills these requirements and has known wide adoption over the last years from Academia and Industry. This work is an extensive survey of the P4 language covering domains of application, a detailed overview of the language and future directions.</jats:p>
Palabras clave: General Computer Science; Theoretical Computer Science.
Pp. No disponible
doi: 10.1145/3460938
Affective Automotive User Interfaces–Reviewing the State of Driver Affect Research and Emotion Regulation in the Car
Michael Braun; Florian Weber; Florian Alt
<jats:p>Affective technology offers exciting opportunities to improve road safety by catering to human emotions. Modern car interiors enable the contactless detection of user states, paving the way for a systematic promotion of safe driver behavior through emotion regulation. We review the current literature regarding the impact of emotions on driver behavior and analyze the state of emotion regulation approaches in the car. We summarize challenges for affective interaction in the form of technological hurdles and methodological considerations, as well as opportunities to improve road safety by reinstating drivers into an emotionally balanced state. The purpose of this review is to outline the community’s combined knowledge for interested researchers, to provide a focussed introduction for practitioners, raise awareness for cultural aspects, and to identify future directions for affective interaction in the car.</jats:p>
Palabras clave: General Computer Science; Theoretical Computer Science.
Pp. 1-26
doi: 10.1145/3461835
A Survey of Music Visualization Techniques
Hugo B. Lima; Carlos G. R. Dos Santos; Bianchi S. Meiguins
<jats:p>Music Information Research (MIR) comprises all the research topics involved in modeling and understanding music. Visualizations are frequently adopted to convey better understandings about music pieces, and the association of music with visual elements has been practiced historically and extensively. We investigated papers related to music visualization and organized the proposals into categories according to their most prominent aspects: their input features, the aspects visualized, the InfoVis technique(s) used, if interaction was provided, and users’ evaluations. The MIR and the InfoVis community can benefit by identifying trends and possible new research directions within the music visualization topic.</jats:p>
Palabras clave: General Computer Science; Theoretical Computer Science.
Pp. 1-29
doi: 10.1145/3464422
Beyond Multimedia Authoring
Douglas Paulo De Mattos; Débora C. Muchaluat-Saade; Gheorghita Ghinea
<jats:p>The mulsemedia (Multiple Sensorial Media (MulSeMedia)) concept has been explored to provide users with new sensations using other senses beyond sight and hearing. The demand for producing such applications has motivated various studies in the mulsemedia authoring phase. To encourage researchers to explore new solutions for enhancing the mulsemedia authoring, this survey article reviews several mulsemedia authoring tools and proposals for representing sensory effects and their characteristics. The article also outlines a set of desirable features for mulsemedia authoring tools. Additionally, a multimedia background is discussed to support the proposed study in the mulsemedia field. Open challenges and future directions regarding the mulsemedia authoring phase are also discussed.</jats:p>
Palabras clave: General Computer Science; Theoretical Computer Science.
Pp. 1-31
doi: 10.1145/3465399
A Comprehensive Review and a Taxonomy Proposal of Team Formation Problems
Julio Juárez; Cipriano (Pano) Santos; Carlos A. Brizuela
<jats:p>With a growing interest in high-performing work teams and how to form them, a new computational challenge, denominated Team Formation Problem (TFP), has emerged. After almost two decades of research on this problem, many works continue to raise particular conceptions of what a TFP is. Any new practitioner, unfamiliar with the problem, may be hindered in discerning what is essential and what is particular in each proposal. Until now, there was a lack of a document serving as a guide, synthesizing and framing what has been done to date. In this review, we mainly introduce two things: (1) a taxonomy proposal for the TFPs and (2) the description of the main components of a TFP. Additionally, we present and discuss some applications, complexity, and resolution methods. Finally, we conclude by describing some perspectives on this topic for future studies, where we give some insight into open problems and research opportunities. The main goal of this review is to facilitate the generalization of research, identify knowledge gaps, and support the development of a theory for the TFP.</jats:p>
Palabras clave: General Computer Science; Theoretical Computer Science.
Pp. 1-33
doi: 10.1145/3465170
Centralized, Distributed, and Everything in between
Sophie Dramé-Maigné; Maryline Laurent; Laurent Castillo; Hervé Ganem
<jats:p>The Internet of Things is taking hold in our everyday life. Regrettably, the security of IoT devices is often being overlooked. Among the vast array of security issues plaguing the emerging IoT, we decide to focus on access control, as privacy, trust, and other security properties cannot be achieved without controlled access. This article classifies IoT access control solutions from the literature according to their architecture (e.g., centralized, hierarchical, federated, distributed) and examines the suitability of each one for access control purposes. Our analysis concludes that important properties such as auditability and revocation are missing from many proposals while hierarchical and federated architectures are neglected by the community. Finally, we provide an architecture-based taxonomy and future research directions: a focus on hybrid architectures, usability, flexibility, privacy, and revocation schemes in serverless authorization.</jats:p>
Palabras clave: General Computer Science; Theoretical Computer Science.
Pp. 1-34
doi: 10.1145/3464420
Benchmarking Quantum Computers and the Impact of Quantum Noise
Salonik Resch; Ulya R. Karpuzcu
<jats:p>Benchmarking is how the performance of a computing system is determined. Surprisingly, even for classical computers this is not a straightforward process. One must choose the appropriate benchmark and metrics to extract meaningful results. Different benchmarks test the system in different ways, and each individual metric may or may not be of interest. Choosing the appropriate approach is tricky. The situation is even more open ended for quantum computers, where there is a wider range of hardware, fewer established guidelines, and additional complicating factors. Notably, quantum noise significantly impacts performance and is difficult to model accurately. Here, we discuss benchmarking of quantum computers from a computer architecture perspective and provide numerical simulations highlighting challenges that suggest caution.</jats:p>
Palabras clave: General Computer Science; Theoretical Computer Science.
Pp. 1-35