ACM Computing Surveys最新文献_第9页

Impact of Intelligent Technologies on IoV Security: Integrating Edge Computing and AI 智能技术对车联网安全的影响：融合边缘计算和人工智能

IF 16.6 1区计算机科学

ACM Computing Surveys Pub Date : 2026-07-22 DOI: 10.1145/3816144

Awais Bilal, Kashif Sharif, Fan Li, Sadaf Bukhari, Liehuang Zhu, Chang Xu, Sujit Biswas

{"title":"Impact of Intelligent Technologies on IoV Security: Integrating Edge Computing and AI","authors":"Awais Bilal, Kashif Sharif, Fan Li, Sadaf Bukhari, Liehuang Zhu, Chang Xu, Sujit Biswas","doi":"10.1145/3816144","DOIUrl":"https://doi.org/10.1145/3816144","url":null,"abstract":"The rapid development and integration of intelligent technologies in the Internet of Vehicles (IoV) have revolutionized transportation systems by enhancing connectivity, automation, and safety. However, the complexity and connectivity of IoV networks also introduce security challenges, including data privacy concerns, cyber threats, and system vulnerabilities. This paper surveys the role of Edge Computing (EC), Machine Learning (ML), and Deep Learning (DL) in strengthening IoV security frameworks. It examines the synergy between these technologies, highlighting their individual capabilities and their collective impact on enhancing threat detection, response times, and adaptive security. Through real world case studies and practical deployments, we demonstrate how EC, ML, and DL are currently improving security and operational efficiency in IoV systems. The paper also identifies key research gaps and future directions for further advancements in IoV security, including the need for scalable, privacy preserving solutions and robust defense mechanisms against emerging cyber threats. By integrating EC, ML, and DL, this work lays the groundwork for developing adaptive, efficient, and resilient IoV security infrastructures capable of addressing evolving challenges in the transportation ecosystem.","PeriodicalId":50926,"journal":{"name":"ACM Computing Surveys","volume":"37 1","pages":""},"PeriodicalIF":16.6,"publicationDate":"2026-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148538225","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

High Availability Ultra-Large Cloud-Oriented Storage Systems: A Review, Mind Mapping and Open Research Directions 高可用性超大型云存储系统：综述、思维导图和开放研究方向

IF 16.6 1区计算机科学

ACM Computing Surveys Pub Date : 2026-07-21 DOI: 10.1145/3831665

Ajay Kumar, Seema Bawa, Neeraj Kumar, Rajkumar Buyya, Abdullah Mohammed Almuhaideb

{"title":"High Availability Ultra-Large Cloud-Oriented Storage Systems: A Review, Mind Mapping and Open Research Directions","authors":"Ajay Kumar, Seema Bawa, Neeraj Kumar, Rajkumar Buyya, Abdullah Mohammed Almuhaideb","doi":"10.1145/3831665","DOIUrl":"https://doi.org/10.1145/3831665","url":null,"abstract":"Cloud computing paradigm enables the delivery of computing, storage, and applications as services as subscription-oriented services to end users over the Internet. It reduces the need for highly expensive computing infrastructure, dedicated storage servers, and software applications to be procured, deployed, and managed as in house capabilities. The amount of data generated by enterprise and business applications has increased exponentially. Addressing and dealing with enormous datasets is a challenging and very time-consuming task that necessitates a high level of computing infrastructure to enable proper data processing and analysis. This study aims to compare and analyze the different aspects of ultra-large data storage systems in cloud computing. The description, features, and classification of cloud storage systems are discussed, along with certain cloud computing considerations. Relationships between big data and cloud computing are also explored, as are ultra-large storage systems and Hadoop technology. Furthermore, research concerns such as dynamicity, scalability, availability, data integrity, self-organizing, data quality, data diversity, privacy, and legal and regulatory issues have been investigated. The sole motivation of this study has been thoroughly explained with the help of a mind-mapping diagram of cloud-oriented data storage (CODS) elements. The seven major elements of CODS—the data model, data consistency, data replication, data scalability, data integration, data virtualization, and transaction—have been systematically discussed in this study. This study also highlights some open research issues related to ultra-large storage systems, which summarize sufficient research efforts.","PeriodicalId":50926,"journal":{"name":"ACM Computing Surveys","volume":"182 1","pages":""},"PeriodicalIF":16.6,"publicationDate":"2026-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148522587","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Systematic Review and Taxonomy of VR Usability Heuristics: Trends, Challenges, and Directions VR可用性启发式的系统回顾和分类：趋势、挑战和方向

IF 16.6 1区计算机科学

ACM Computing Surveys Pub Date : 2026-07-20 DOI: 10.1145/3832771

Mohd Kamal Othman, Rahimah Mat, Norehan Zulkiply

{"title":"A Systematic Review and Taxonomy of VR Usability Heuristics: Trends, Challenges, and Directions","authors":"Mohd Kamal Othman, Rahimah Mat, Norehan Zulkiply","doi":"10.1145/3832771","DOIUrl":"https://doi.org/10.1145/3832771","url":null,"abstract":"As Virtual Reality (VR) becomes prevalent in high-stakes and everyday applications, ensuring seamless user experiences (UX) is essential. While Heuristic Evaluation (HE) is a highly valuable usability inspection method, its application across VR domains and devices remains fragmented and underexplored. This review examines VR usability research from 2004 to 2025, drawing on 53 rigorously selected studies. We propose a methodological taxonomy categorising heuristic approaches into four distinct types: VR-Specific and Custom Heuristics (41.5%), Combinations and Mixed-Methods (26.4%), Traditional/General Heuristics (24.5%), and Unspecified evaluations (7.6%). While Core HCI and Technology remain the foundational domain, HE has rapidly expanded into Education, Industrial Training, and Healthcare. Hardware usage predominantly involves immersive Wearables (HMDs), with hybrid 2D/3D systems emerging strategically in clinical and industrial contexts. Crucially, traditional 2D heuristics often fail to capture VR's unique spatial, physical, and cognitive complexities, including simulator sickness, multi-user latency, and spatial UI clutter. Recent literature (2024–2025) reveals a critical shift toward mixed-method evaluations, pairing HE with standardised metrics such as the System Usability Scale (SUS), and validated, domain-specific frameworks (e.g., for wearable VR educational apps). By addressing these gaps, adopting mixed methods, and refining frameworks, the community can deliver intuitive, safe, and user-centred VR experiences, unlocking its full transformative potential.","PeriodicalId":50926,"journal":{"name":"ACM Computing Surveys","volume":"22 1","pages":""},"PeriodicalIF":16.6,"publicationDate":"2026-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148498682","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Automatic Question Generation with Large Language Models: A Survey 基于大型语言模型的自动问题生成研究综述

IF 16.6 1区计算机科学

ACM Computing Surveys Pub Date : 2026-07-20 DOI: 10.1145/3832773

Roberto Oliveira, Anibal Hernández, Mônica Garbin, Julio Dos Reis, Rodolfo Azevedo

引用次数: 0

Cybercrime as a Service: A Scoping Review 网络犯罪作为一种服务：范围审查

IF 16.6 1区计算机科学

ACM Computing Surveys Pub Date : 2026-07-20 DOI: 10.1145/3833078

Ema Mauko, Shane Johnson, Enrico Mariconti

{"title":"Cybercrime as a Service: A Scoping Review","authors":"Ema Mauko, Shane Johnson, Enrico Mariconti","doi":"10.1145/3833078","DOIUrl":"https://doi.org/10.1145/3833078","url":null,"abstract":"Cloud computing has drastically altered the ways in which it is possible to deliver information technologies in a service-led structure; however, this has also been reflected in the cybercrime domain. Cybercrime as a Service is an economic model where a technically skilled actor offers a given cyberattack as an end-to-end service to non-technical actors who pay a subscription fee for said service. The services, which can vary in scope, targets, and delivery modes, include everything from vulnerability discoveries, delivery of the attack, and the attack itself to financial rewards to the subscriber. In this scoping literature review, we analysed 195 articles from both academic and grey literature with a view of investigating the services articles studied, the methodological approach and how the CaaS model is predicted to develop in the future. Our review indicates that further commercialisation of the model will further lower the barrier of entry to the cybercrime realm, increase the sophistication of the attacks and increase the resilience of the service providers and their ecosystem, which will result in harder shutdowns of services by the authorities. Furthermore, as the model becomes more accessible, groups such as organised crime groups and extremist actors may use it as well, which may have implications for criminal activity in both cyber and physical domains.","PeriodicalId":50926,"journal":{"name":"ACM Computing Surveys","volume":"3 1","pages":""},"PeriodicalIF":16.6,"publicationDate":"2026-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148498681","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Comprehensive Survey of Cross-Modal Retrieval: Breaking Through Modal Barriers 跨模态检索综述：突破模态障碍

IF 16.6 1区计算机科学

ACM Computing Surveys Pub Date : 2026-07-17 DOI: 10.1145/3829354

Xiaoqing Liu, Zhiwen Yu, Yishan Yao, Kaixiang Yang, Huanqiang Zeng, C. L. Philip Chen

引用次数: 0

A Survey of Commonsense Reasoning in LLMs 法学硕士常识性推理研究综述

IF 16.6 1区计算机科学

ACM Computing Surveys Pub Date : 2026-07-17 DOI: 10.1145/3832753

Nicole Teo, Donghao Huang, Zhaoxia Wang

{"title":"A Survey of Commonsense Reasoning in LLMs","authors":"Nicole Teo, Donghao Huang, Zhaoxia Wang","doi":"10.1145/3832753","DOIUrl":"https://doi.org/10.1145/3832753","url":null,"abstract":"Commonsense reasoning plays a crucial role in natural language processing by enabling systems to determine causation and assess the plausibility of various scenarios. Despite significant research focused on formalizing commonsense knowledge and integrating it with mathematical logic, replicating such reasoning in artificial intelligence systems—such as large language models (LLMs)—remains a formidable challenge. Despite these challenges, LLMs demonstrate significant promise and exhibit ongoing progress in reasoning capabilities. This paper surveys the current state of commonsense reasoning in LLMs, including datasets, models, benchmarks, enhancements, opportunities, and challenges—highlighting both advancements and limitations. We discuss the role of commonsense reasoning in LLMs, how they strive to emulate human-like reasoning, and why they often struggle to capture the nuanced inferences associated with commonsense understanding of the physical and social world. This survey emphasizes the need for continued investigation and optimization, including the integration of mechanisms to enhance the reliability of these models. Overall, while LLMs are making strides in commonsense reasoning, overcoming their limitations requires further research and development to fully harness their potential.","PeriodicalId":50926,"journal":{"name":"ACM Computing Surveys","volume":"231 1","pages":""},"PeriodicalIF":16.6,"publicationDate":"2026-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148461911","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Survey on the Use of Machine Learning within Computer Algebra 机器学习在计算机代数中的应用综述

IF 16.6 1区计算机科学

ACM Computing Surveys Pub Date : 2026-07-17 DOI: 10.1145/3831699

Uzma Shafiq, Matthew England, Nayyar Zaidi

{"title":"A Survey on the Use of Machine Learning within Computer Algebra","authors":"Uzma Shafiq, Matthew England, Nayyar Zaidi","doi":"10.1145/3831699","DOIUrl":"https://doi.org/10.1145/3831699","url":null,"abstract":"This survey explores the use of Machine Learning (ML) in the field of Computer Algebra (CA), both to optimise existing CA algorithms, and to perform symbolic computation directly. Traditional symbolic methods, while mathematically rigorous, often are computationally expensive thus limiting their use in real-world applications. Recent advances have shown that data-driven techniques can address these limitations by guiding heuristic decisions, selecting optimal algorithms, predicting structural properties of algebraic objects, or even making direct symbolic computations. We take a systematic literature review approach and uncover work in CA applications including cylindrical algebraic decomposition, Gröbner basis computation, symbolic integration, and many more. The survey compares the different ML approaches that have been employed for these tasks, ranging from decision trees to transformers. Issues uncovered by the survey include the lack of benchmark datasets for CA, which hinders the comparison of methods and the generalizability of ML models. The survey identifies the potential for explainable AI tools to help develop trust in decisions, and to drive forward CA research itself.","PeriodicalId":50926,"journal":{"name":"ACM Computing Surveys","volume":"13 1","pages":""},"PeriodicalIF":16.6,"publicationDate":"2026-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148461912","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Quarter of a Century of Neuromorphic Architectures on FPGAs - An Overview fpga上四分之一世纪的神经形态架构综述

IF 16.6 1区计算机科学

ACM Computing Surveys Pub Date : 2026-07-15 DOI: 10.1145/3831666

Wiktor Szczerek, Artur Podobas

引用次数: 0

Recent Advances in Transformer and Large Language Models for UAV Applications 用于无人机的变压器和大语言模型研究进展

IF 16.6 1区计算机科学

ACM Computing Surveys Pub Date : 2026-07-14 DOI: 10.1145/3828658

Hamza Kheddar, Yassine Habchi, Mohamed Chahine Ghanem, Mustapha Hemis, Dusit (Tao) Niyato

{"title":"Recent Advances in Transformer and Large Language Models for UAV Applications","authors":"Hamza Kheddar, Yassine Habchi, Mohamed Chahine Ghanem, Mustapha Hemis, Dusit (Tao) Niyato","doi":"10.1145/3828658","DOIUrl":"https://doi.org/10.1145/3828658","url":null,"abstract":"The rapid advancement of Transformer-based models has reshaped the landscape of uncrewed aerial vehicle (UAV) systems by enhancing perception, decision-making, and autonomy. This review paper systematically categorizes and evaluates recent developments in Transformer architectures applied to UAVs, including attention mechanisms, convolutional neural network (CNN)-Transformer hybrids, reinforcement learning (RL)-Transformers, and large language models (LLMs). Unlike previous surveys, this work presents a unified taxonomy of Transformer-based UAV models, highlights emerging applications such as precision agriculture and autonomous navigation, and provides comparative analyses through structured tables and performance benchmarks. The paper also reviews key datasets, simulators, and evaluation metrics used in the field. Furthermore, it identifies existing gaps in the literature, outlines critical challenges in computational efficiency and real-time deployment, and offers future research directions. This comprehensive synthesis aims to guide researchers and practitioners in understanding and advancing Transformer-driven UAV technologies.","PeriodicalId":50926,"journal":{"name":"ACM Computing Surveys","volume":"49 1","pages":""},"PeriodicalIF":16.6,"publicationDate":"2026-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148432199","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0