Computer Science Review最新文献_第6页

Cyber attack detection in smart grids: A survey of methods, challenges and future directions 智能电网中的网络攻击检测：方法、挑战和未来方向的调查

IF 12.7 1区计算机科学

Computer Science Review Pub Date : 2026-05-01 Epub Date: 2026-01-30 DOI: 10.1016/j.cosrev.2026.100915

Palanisamy Vigneshwaran, Selvarajah Thuseethan, Bharanidharan Shanmugam, Suresh Thennadil

{"title":"Cyber attack detection in smart grids: A survey of methods, challenges and future directions","authors":"Palanisamy Vigneshwaran, Selvarajah Thuseethan, Bharanidharan Shanmugam, Suresh Thennadil","doi":"10.1016/j.cosrev.2026.100915","DOIUrl":"10.1016/j.cosrev.2026.100915","url":null,"abstract":"<div><div>Smart grids (SG) are the well-known cyber-physical systems responsible for processing, managing, controlling and optimising power energy for multi-scale organisations. Advancements in computing technologies have significantly revolutionised their performance with the integration of the Internet of Things (IoT), artificial intelligence (AI) and cloud technologies. However, such advancements also yield unforeseen vulnerabilities that pose serious threats to the grid management and control. In particular, the rapid advancement of AI and the increasing complexity of adversarial and other cyber attacks have created a highly vulnerable security landscape, despite years of countermeasure development. This study comprehensively reviews the recognition mechanisms utilised against such threats from the perspective of three layers of SG, such as sensing, communication and application layers. Additionally, it maps a wider range of cyber attacks with SG-related threat models and characteristics, along with vulnerable SG components. More importantly, it provides an in-depth comparative analysis of benchmark datasets and related evaluation metrics, including power system metrics, which is unique among other studies. This work also highlights the contemporary limitations and essential recommendations for future integration. Overall, the primary objective of the study is to guide scholars in understanding cutting-edge anomaly recognition techniques employed in SG and provide recommendations for mitigating challenges posed by advanced threats.</div></div>","PeriodicalId":48633,"journal":{"name":"Computer Science Review","volume":"60 ","pages":"Article 100915"},"PeriodicalIF":12.7,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146089496","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

Federated learning in cloud-edge-fog architectures: Enhancing privacy, efficiency, and scalability 云边缘雾架构中的联邦学习：增强隐私、效率和可扩展性

IF 12.7 1区计算机科学

Computer Science Review Pub Date : 2026-05-01 Epub Date: 2026-01-29 DOI: 10.1016/j.cosrev.2026.100917

Zahra Jalali KhalilAbadi, Najme Mansouri, Mohammad Masoud Javidi

引用次数: 0

Removal notice to “Machine learning in automated diagnosis of autism spectrum disorder: a comprehensive review” [Computer Science Review 56 (2025) 100730] 对“机器学习在自闭症谱系障碍自动诊断中的应用：综合综述”的删除通知[计算机科学评论56 (2025)100730]

IF 12.9 1区计算机科学

Computer Science Review Pub Date : 2026-03-22 DOI: 10.1016/j.cosrev.2026.100959

Khosro Rezaee

引用次数: 0

Twenty years of Nešetřil’s classification programme of Ramsey classes 20年的Nešetřil拉姆齐类分类计划

IF 12.7 1区计算机科学

Computer Science Review Pub Date : 2026-02-01 Epub Date: 2025-09-19 DOI: 10.1016/j.cosrev.2025.100814

Jan Hubička , Matěj Konečný

引用次数: 0

New paradigm of distributed artificial intelligence for LLM implementation and its key technologies 面向LLM实现的分布式人工智能新范式及其关键技术

IF 12.7 1区计算机科学

Computer Science Review Pub Date : 2026-02-01 Epub Date: 2025-09-21 DOI: 10.1016/j.cosrev.2025.100817

Yijin Wu , Zirun Li , Bingrui Guo , Shanshan He , Bijing Liu , Xiaojie Liu , Shan He , Donghui Guo

{"title":"New paradigm of distributed artificial intelligence for LLM implementation and its key technologies","authors":"Yijin Wu , Zirun Li , Bingrui Guo , Shanshan He , Bijing Liu , Xiaojie Liu , Shan He , Donghui Guo","doi":"10.1016/j.cosrev.2025.100817","DOIUrl":"10.1016/j.cosrev.2025.100817","url":null,"abstract":"<div><div>With the Internet’s development and information technology advancement, current network applications and services, such as e-commerce, industrial automation, and vehicular automation, have experienced substantial expansion. Foundation models, represented by large language models (LLMs), have emerged in response to growing demands. Their broad range of applications has brought significant advancements to various industries. While such developments have improved people’s economic lives and social activities, the challenges posed by the rapid growth of data volume and network traffic cannot be overlooked. Intelligent systems aimed at enhancing knowledge computation and learning capabilities are gradually gaining attention. Nevertheless, efficient and flexible intelligent systems are still in their early stages, leaving ample space for further optimization. This study provides an overview of Distributed Artificial Intelligence (DAI) with its related paradigm, briefly introduces the evolution of LLMs, and proposes a novel optimization framework named PCD Tri-Tuning for DAI workflows: leveraging caching-related technologies to enhance perceptual capabilities, adopting load-balancing techniques for computational optimization, and developing reasoning methodologies and cooperation techniques to improve decision-making. Subsequently, the study examines the pivotal role of the proposed optimization framework in practical domains such as e-commerce, smart manufacturing, and vehicular automation while also discussing the challenges and outlining strategies for further development.</div></div>","PeriodicalId":48633,"journal":{"name":"Computer Science Review","volume":"59 ","pages":"Article 100817"},"PeriodicalIF":12.7,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145093957","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

Intelligent IoT-Blockchain Ecosystem: A security perspective, applications, and challenges 智能物联网-区块链生态系统：安全视角、应用与挑战

IF 12.7 1区计算机科学

Computer Science Review Pub Date : 2026-02-01 Epub Date: 2025-10-17 DOI: 10.1016/j.cosrev.2025.100843

Muralidhara Rao Patruni , Bhasker Bapuram , Saraswathi Pedada

{"title":"Intelligent IoT-Blockchain Ecosystem: A security perspective, applications, and challenges","authors":"Muralidhara Rao Patruni , Bhasker Bapuram , Saraswathi Pedada","doi":"10.1016/j.cosrev.2025.100843","DOIUrl":"10.1016/j.cosrev.2025.100843","url":null,"abstract":"<div><div>Information and communications technologies (ICT) are vital in transforming the world with the advent of the intelligent information era. The lives of individuals in the 21st century are intertwined with smart living, encompassing smart cities, electronic health care, transportation, entertainment, and supply chain logistics that leverage service quality to provide a high-end user experience. The Internet of Things (IoT) and blockchain are potential solutions to contemporary problems, leveraging advancements in wireless communication technologies like 5G and 6G networks. Initially used for monitoring and controlling environmental changes, IoT has expanded to encompass every aspect of human life, enhancing our understanding of the world. This paper systematically studies state-of-the-art mechanisms, underlying technologies, research challenges, issues, and countermeasures to protect IoT environments using 6G technology. Also, we investigate possible security solutions with their performance measures to prove that the security solution is the best fit for the desired IoT environment. Lately, we emphasized future research views by considering 5G and 6G technologies that can help the sustainable development of the IoT-Blockchain ecosystem.</div></div>","PeriodicalId":48633,"journal":{"name":"Computer Science Review","volume":"59 ","pages":"Article 100843"},"PeriodicalIF":12.7,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145314958","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

Time-sensitive data analytics: A survey of anytime techniques, applications and challenges 时间敏感数据分析：随时技术、应用和挑战的调查

IF 12.7 1区计算机科学

Computer Science Review Pub Date : 2026-02-01 Epub Date: 2025-10-30 DOI: 10.1016/j.cosrev.2025.100850

Jagat Sesh Challa, Aarti, Navneet Goyal, Poonam Goyal

{"title":"Time-sensitive data analytics: A survey of anytime techniques, applications and challenges","authors":"Jagat Sesh Challa, Aarti, Navneet Goyal, Poonam Goyal","doi":"10.1016/j.cosrev.2025.100850","DOIUrl":"10.1016/j.cosrev.2025.100850","url":null,"abstract":"<div><div>In the era of big data and real-time analytics, there is a growing demand for fast, adaptive, and efficient techniques for data analytics that are not only accurate but also responsive and adaptable to dynamic environments. Anytime algorithms have gained significant attention in data analytics due to their ability to provide approximate results at any point in time (which improves over time), making them highly suitable for quick decision-making. Anytime algorithms, which can trade computational time for quality of results, are increasingly critical for applications requiring rapid, adaptive insights. They are widely used in stock market analysis, fraud detection, sentiment analysis, weather forecasting, etc. To the best of our knowledge, there is no literature survey of research papers on anytime algorithms that comprehensively reviews the approaches, classifies them and highlights the open research issues. This paper provides a comprehensive survey of anytime algorithms tailored for data analytics over large datasets while emphasizing their application in time-sensitive decision-making environments. We examine the algorithmic foundations and the state-of-the-art anytime approaches across various data analytics tasks, including classification, clustering and frequent itemset mining. Qualitative analysis has also been presented for each algorithm described in this paper based on key aspects such as interruptibility, resource adaptiveness, and solution quality under constrained conditions. This survey also highlights the latest advancements and emerging research trends, providing insights into how anytime algorithms can be further developed to meet the demands of complex and dynamic environments.</div></div>","PeriodicalId":48633,"journal":{"name":"Computer Science Review","volume":"59 ","pages":"Article 100850"},"PeriodicalIF":12.7,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145416723","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

On the generalized coloring numbers 关于广义着色数

IF 12.7 1区计算机科学

Computer Science Review Pub Date : 2026-02-01 Epub Date: 2025-11-14 DOI: 10.1016/j.cosrev.2025.100855

Sebastian Siebertz

{"title":"On the generalized coloring numbers","authors":"Sebastian Siebertz","doi":"10.1016/j.cosrev.2025.100855","DOIUrl":"10.1016/j.cosrev.2025.100855","url":null,"abstract":"<div><div>The <em>coloring number</em> <span><math><mrow><mo>col</mo><mrow><mo>(</mo><mi>G</mi><mo>)</mo></mrow></mrow></math></span> of a graph <span><math><mi>G</mi></math></span>, which is equal to the <em>degeneracy</em> of <span><math><mi>G</mi></math></span> plus one, provides a very useful measure for the uniform sparsity of <span><math><mi>G</mi></math></span>. The coloring number is generalized by three series of measures, the <em>generalized coloring numbers</em>. These are the <span><math><mi>r</mi></math></span>-<em>admissibility</em> <span><math><mrow><msub><mrow><mo>adm</mo></mrow><mrow><mi>r</mi></mrow></msub><mrow><mo>(</mo><mi>G</mi><mo>)</mo></mrow></mrow></math></span>, the <em>strong</em> <span><math><mi>r</mi></math></span><em>-coloring number</em> <span><math><mrow><msub><mrow><mo>col</mo></mrow><mrow><mi>r</mi></mrow></msub><mrow><mo>(</mo><mi>G</mi><mo>)</mo></mrow></mrow></math></span> and the <em>weak</em> <span><math><mi>r</mi></math></span><em>-coloring number</em> <span><math><mrow><msub><mrow><mo>wcol</mo></mrow><mrow><mi>r</mi></mrow></msub><mrow><mo>(</mo><mi>G</mi><mo>)</mo></mrow></mrow></math></span>, where <span><math><mi>r</mi></math></span> is an integer parameter. The generalized coloring numbers measure the edge density of bounded-depth minors and thereby provide an even more uniform measure of sparsity of graphs. They have found many applications in graph theory and in particular play a key role in the theory of bounded expansion and nowhere dense graph classes introduced by Nešetřil and Ossona de Mendez. We overview combinatorial and algorithmic applications of the generalized coloring numbers, emphasizing new developments in this area. We also present a simple proof for the existence of uniform orders and improve known bounds, e.g., for the weak coloring numbers on graphs with excluded topological minors.</div></div>","PeriodicalId":48633,"journal":{"name":"Computer Science Review","volume":"59 ","pages":"Article 100855"},"PeriodicalIF":12.7,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145519520","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 on IoT security: Challenges, security issues, and countermeasures 物联网安全综合调查：挑战、安全问题和对策

IF 12.7 1区计算机科学

Computer Science Review Pub Date : 2026-02-01 Epub Date: 2025-10-08 DOI: 10.1016/j.cosrev.2025.100839

Ankit Sharma, Kriti Bhushan

{"title":"A comprehensive survey on IoT security: Challenges, security issues, and countermeasures","authors":"Ankit Sharma, Kriti Bhushan","doi":"10.1016/j.cosrev.2025.100839","DOIUrl":"10.1016/j.cosrev.2025.100839","url":null,"abstract":"<div><div>IoT is an emerging technology in which physical objects are embedded with computing and networking capabilities, commonly referred to as intelligent devices. IoT technology is rapidly growing due to its unique features, such as minimal human intervention, cost-effectiveness, and ease of deployment. However, this widespread adoption also introduces challenges related to scalability and security. Since the IoT ecosystem is characterized by diverse technologies and resource-constrained devices, IoT applications become more vulnerable, providing attackers with a strategic advantage. Consequently, security is a paramount concern in IoT systems. The primary objective of this paper is to investigate security concerns in the IoT environment. This study examines security challenges from multiple perspectives, including architecture-level concerns, component-level vulnerabilities, application-level threats, and emerging risks. This paper discusses general IoT attacks, categorized according to different layers, and subsequently presents RFID as a use case to illustrate these concepts more clearly. Additionally, the current literature addresses emerging attack vectors and their associated countermeasures, offering a thorough overview of evolving security challenges and defense strategies. Many existing research papers do not comprehensively address security issues across the entire IoT ecosystem, including emerging attacks and their countermeasures. This paper covers the major attack vectors in IoT, explores state-of-the-art techniques such as blockchain and their role in enhancing IoT security, and examines newly emerged threats such as adversarial attacks, filling a critical gap.</div></div>","PeriodicalId":48633,"journal":{"name":"Computer Science Review","volume":"59 ","pages":"Article 100839"},"PeriodicalIF":12.7,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145261666","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

The impact of large language models on medical research and patient care: A systematic review of current trends, challenges, and future innovations 大型语言模型对医学研究和病人护理的影响：对当前趋势、挑战和未来创新的系统回顾

IF 12.7 1区计算机科学

Computer Science Review Pub Date : 2026-02-01 Epub Date: 2025-10-29 DOI: 10.1016/j.cosrev.2025.100847

Sohaib Asif , Fazal Hadi , Qurrat-ul-ain , Yuqi Yan , Vicky Yang Wang , Dong Xu

{"title":"The impact of large language models on medical research and patient care: A systematic review of current trends, challenges, and future innovations","authors":"Sohaib Asif , Fazal Hadi , Qurrat-ul-ain , Yuqi Yan , Vicky Yang Wang , Dong Xu","doi":"10.1016/j.cosrev.2025.100847","DOIUrl":"10.1016/j.cosrev.2025.100847","url":null,"abstract":"<div><div>Large language models (LLMs) are gaining recognition for their sophisticated language processing abilities, which enable them to provide informed responses to open-ended queries. These models are proving to be highly beneficial in the healthcare sector, contributing to areas such as medical communication, optimization of patient data, and surgical planning. The rapid advancement of LLMs has generated extensive research, making it challenging to evaluate their overall impact. A concise review of recent developments is essential to provide clarity in this evolving field. This paper outlines the datasets used in various LLM studies and provides a detailed review of the advancements in medical LLMs, particularly focusing on the requirements and applications in the healthcare domain. It explores 198 relevant publications to assist practitioners and researchers, offering insights into the latest trends in LLM applications across medicine. The paper starts by covering the fundamental aspects of LLMs, including their history, architectures, transformers, and impacts. It then delves into specific medical applications such as medical writing, examinations, education, diagnosis, decision-making, nursing, clinical report generation, and mental health support. The study identifies challenges in deploying LLMs in real-world medical scenarios and provides recommendations for future technical integration. Lastly, it highlights potential research directions for the development of medical LLMs, aiming to meet the evolving needs of the healthcare sector and improve patient outcomes. This review serves as a key resource for future studies, offering pathways to enhance LLM utility in clinical practice.</div></div>","PeriodicalId":48633,"journal":{"name":"Computer Science Review","volume":"59 ","pages":"Article 100847"},"PeriodicalIF":12.7,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145416724","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