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arXiv 2023年

作者： Zhao, Zicheng Luo, Linhao Pan, Shirui Nguyen, Quoc Viet Hung Gong, Chen School of Computer Science and Engineering Nanjing University of Science and Technology China Jiangsu Key Laboratory of Image and Video Understanding for Social Security China Department of Data Science and AI Monash University Australia School of Information and Communication Technology Griffith University Australia Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education

Few-shot inductive link prediction on knowledge graphs (KGs) aims to predict missing links for unseen entities with few-shot links observed. Previous methods are limited to transductive scenarios, where entities exist in the knowledge graphs, so they are unable to handle unseen entities. Therefore, recent inductive methods utilize the sub-graphs around unseen entities to obtain the semantics and predict links inductively. However, in the few-shot setting, the sub-graphs are often sparse and cannot provide meaningful inductive patterns. In this paper, we propose a novel relational anonymous walk-guided neural process for few-shot inductive link prediction on knowledge graphs, denoted as RawNP. Specifically, we develop a neural process-based method to model a flexible distribution over link prediction functions. This enables the model to quickly adapt to new entities and estimate the uncertainty when making predictions. To capture general inductive patterns, we present a relational anonymous walk to extract a series of relational motifs from few-shot observations. These motifs reveal the distinctive semantic patterns on KGs that support inductive predictions. Extensive experiments on typical benchmark datasets demonstrate that our model derives new state-of-the-art performance. Copyright © 2023, The Authors. All rights reserved.

关键词： Forecasting

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Network slicing-based customization of 5G mobile services

arXiv

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arXiv 2022年

作者： Afolabi, Ibrahim Taleb, Tarik Frangoudis, Pantelis A. Bagaa, Miloud Ksentini, Adlen Department of Communications and Networking School of Electrical Engineering Aalto University Finland Faculty of Information Technology and Electrical Engineering Oulu University Finland Department of Computer and Information Security Sejong University Seoul05006 Korea Republic of Communication Systems Department EURECOM Sophia Antipolis France

Through network slicing, different requirements of different applications and services can be met. These requirements can be in terms of latency, bandwidth, mobility support, defining service area, as well as security. Through fine and dynamic tuning of network slices, services can have their delivery platforms constantly customized according to their changing needs. In this article, we present our implementation of an E2E network slice orchestration platform, evaluate its performance in terms of dynamic deployment of network slices in an E2E fashion, and discuss how its functionality can be enhanced to better customize the network slices according to the needs of their respective services. © 2022, CC BY-NC-ND.

关键词： 5G mobile communication systems

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Coded Caching Schemes for Multiaccess Topologies via Combinatorial Design

arXiv

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arXiv 2023年

作者： Cheng, Minquan Wan, Kai Elia, Petros Caire, Giuseppe Guangxi Key Lab of Multi-source Information Mining & Security Guangxi Normal University Guilin541004 China The School of Electronic Information and Communications Huazhong University of Science and Technology Wuhan430074 China The Communication Systems Department EURECOM Sophia Antipolis06410 France Electrical Engineering and Computer Science Department Technische Universität Berlin Berlin10587 Germany

This paper studies a multiaccess coded caching (MACC) where the connectivity topology between the users and the caches can be described by a class of combinatorial designs. Our model includes as special cases several MACC topologies considered in previous works. The considered MACC network includes a server containing N files, Γ cache nodes and K cacheless users, where each user can access L cache nodes. The server is connected to the users via an error-free shared link, while the users can retrieve the cache content of the connected cache-nodes while the users can directly access the content in their connected cache-nodes. Our goal is to minimise the worst-case transmission load on the shared link in the delivery phase. The main limitation of the existing MACC works is that only some specific access topologies are considered, and thus the number of users K should be either linear or exponential to Γ. We overcome this limitation by formulating a new access topology derived from two classical combinatorial structures, referred to as the t-design and the t-group divisible design. In these topologies, K scales linearly, polynomially, or even exponentially with Γ. By leveraging the properties of the considered combinatorial structures, we propose two classes of coded caching schemes for a flexible number of users, where the number of users can scale linearly, polynomially or exponentially with the number of cache nodes. In addition, our schemes can unify most schemes for the shared link network and unify many schemes for the multi-access network except for the cyclic wrap-around topology. © 2023, CC0.

关键词： Topology

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Realizing a Downstream-Access Network Using Continuous-Variable Quantum Key Distribution

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Physical Review Applied 2021年第6期16卷 064051-064051页

作者： Yundi Huang Tao Shen Xiangyu Wang Ziyang Chen Bingjie Xu Song Yu Hong Guo State Key Laboratory of Information Photonics and Optical Communications Beijing University of Posts and Telecommunications Beijing 100876 China State Key Laboratory of Advanced Optical Communication Systems and Networks Department of Electronics and Center for Quantum Information Technology Peking University Beijing 100871 China Science and Technology on Communication Security Laboratory Institute of Southwestern Communication Chengdu 610041 China

Quantum key distribution (QKD), which enables the secure distribution of symmetric keys between two legitimate parties, is highly useful in future network security. An access network that connects multiple end users with one network backbone can be combined with QKD to build security for end users in a scalable and cost-effective way. In this paper, we show that a downstream-access network can be implemented using continuous-variable (CV) QKD. The security analysis is conducted independently with other network nodes, which greatly relax the trustfulness requirement on the network nodes. The security is then obtained against other network parties even when the quantum signals are broadcast throughout the network. The passive beam splitter is sufficient to deterministically distribute the quantum signals, and standard CV QKD systems can be directly fitted in the downstream-access network, which makes it more applicable for practical implementations. Numerous simulation results are provided to demonstrate the performance of the CV QKD downstream-access network, where up to 64 end users are shown to be feasible to access the network. We provide the security-analysis framework for realizing CV QKD in the downstream-access network, which will boost the diversity for constructing practical CV QKD networks.

关键词： Optical quantum information processing Photonics Quantum communication Quantum cryptography Quantum information processing with continuous variables Quantum networks communication networks

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Enabling Protection for Critical Infrastructure through security and Privacy in the Industrial Internet of Things

Enabling Protection for Critical Infrastructure through Secu...

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International Conference on communication and Electronics systems (ICCES)

作者： B. Yasotha T. Vijayanandh P Thirumoorthy M.Sangeetha Priya Sasidaran S S.B. Prakalya Department of Data Science and Business Systems SRMIST Kattankulathur Department of Computer Science & Engineering School of Computing Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Avadi Chennai Tamil Nadu India Department of Electrical and Electronics Engineering Dhanalakshmi College of Engineering Chennai India Department of Computer Science and Engineering (Cyber Security) Saveetha Engineering College Chennai Department of Information Technology Panimalar Engineering College Chennai Department of Electronics and Communication Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Chennai India

ISBN: (数字)9798350377972

ISBN: (纸本)9798350377989

Industrial Internet of Things can improve critical infrastructure in energy, transportation, and manufacturing. However, IIoT device and system integration opened security weaknesses that bad actors may exploit, causing huge disruptions and financial losses. IoT network security and privacy must be prioritized to protect key infrastructure. IIoT security issues and solutions are examined in this research. First, we take a look at the state of security and the unique risks that industrial IoT devices are up against, including hacking, illegal access, and cyber-physical assaults. Then, to lessen the impact of these dangers, we investigate cutting-edge security solutions, such as authentication, encryption, and access control systems. Building a robust security architecture specifically for IIoT applications is one of the main goals of the project. To improve safety and anonymity, this system uses cutting-edge innovation like blockchain, AI, and edge computing. We also talk about how privacy-preserving methods like differential privacy and anonymization are important for keeping sensitive information safe while allowing data sharing for analysis and operations. We assess the efficacy of the suggested security protocols and procedures using a battery of case studies and simulations. Reducing the attack surface and improving the resilience of IIoT systems can be achieved by a multi-layered security approach that includes effective privacy protections. We conclude by outlining our research's larger implications, which include the importance of standardization, regulatory compliance, and stakeholder collaboration in ensuring the safe and privacy-protecting deployment of IIoT technologies in vital infrastructure. Protecting vital infrastructure from cyber threats is our ultimate goal, and our work helps build IIoT systems that are more secure and dependable.

关键词： Privacy Collaboration Standardization Critical infrastructure Encryption security Stakeholders Protection Computer crime Industrial Internet of Things

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Autonomous Cyber Defense Agents for NATO: Threat Analysis, Design, and Experimentation

Autonomous Cyber Defense Agents for NATO: Threat Analysis, D...

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MILCOM, Military communications Conference

作者： Alexander Velazquez Roberto Rigolin F. Lopes Adrien Bécue Johannes F. Loevenich Paulo H. L. Rettore Konrad Wrona Information Technology Division U.S. Naval Research Laboratory Washington DC USA Secure Communications & Information (SIX) Thales Deutschland Ditzingen Germany THALES SIX GTS Gennevilliers France Department of Mathematics/Computer Science University of Osnabrück Osnabrück Germany Department of Communication Systems Fraunhofer FKIE Bonn Germany Military University of Technology Warsaw Poland NATO Cyber Security Centre The Hague The Netherlands

This paper discusses the design and implementation of Autonomous Cyber Defense (ACD) agents for Protected Core Networking (PCN). Our solution includes two types of specialized, complementary agents placed in different parts of the network. One type of agent, ACD-Core, is deployed within the protected core segment of a particular nation and can monitor and act in the physical and IP layers. The other, ACD-CC, is deployed within a colored cloud and can monitor and act in the transport and application layers. We analyze the threat landscape and identify possible uses and misuses of these agents. Our work is part of an ongoing collaboration between two NATO research task groups, IST-162 and IST-196. The goal of this collaboration is to detail the design and roadmap for implementing ACD agents for PCN and to create a virtual lab for related experimentation and validation. Our vision is that ACD will contribute to improving the cybersecurity of military networks, protecting them against evolving cyber threats, and ensuring connectivity at the tactical edge.

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Seamless Decision-Making in the Big Data Era: A Modular Approach to Integrating IoT, Cloud Computing, and Data Lakes

Seamless Decision-Making in the Big Data Era: A Modular Appr...

引用

International Conference on Electrical, communication, and Computer Engineering (ICECCE)

作者： Mohamed Zemmouri Fatma Zohra Laalam Okba Kazar Yassine Himeur Adel Oulefki Chahrazad Toumi Wathiq Mansoor Shadi Attala Artificial Intelligence and Information Technologies Laboratory Faculty of New Information and Communication Technologies Kasdi Merbah Ouargla University Ouargla Algeria Department of Computer Science - LINFI Laboratory Mohamed Khider University Biskra Algeria Department of Information Systems and Security - College of Information Technology United Arab Emirate University Abu Dhabi United Arab Emirates College of Engineering and Information Technology University of Dubai Dubai UAE Department of Computer Science University of Sharjah Sharjah United Arab Emirates

The integration of big data with cutting-edge technologies like IoT and Cloud Computing has profoundly influenced various aspects of modern life, including everyday service processes. To facilitate data-driven decision-making, big data analytics—focused on identifying patterns, trends, and correlations in large data sets—is indispensable. While traditional statistical techniques are useful, new tools and infrastructures such as Hadoop, Spark, and NoSQL are essential to tackle big data challenges. However, modifying the existing environment can be impractical, especially in production settings, due to the need for significant investment and specialized expertise. This article presents a novel computational paradigm that adds a decision-making layer atop existing systems for data analysis, eliminating the need to alter the environment. The approach treats the current information system as a data lake and introduces a new data recovery layer through web services, drawing inspiration from big data technologies like MapReduce. This system offers the advantage of being modular, reusable, and universally compatible, making it an independent decisional framework that can work with any information system or data source.

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IoT security Frameworks: A Comparative Review with a Focus on Privacy

IoT Security Frameworks: A Comparative Review with a Focus o...

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Cyber Resilience (ICCR), International Conference on

作者： Abduljaleel Al-Hasnawi Yitong Niu Jamal F. Tawfeq Manas Ranjan Pradhan Mohammed Salahat Taher M. Ghazal Ministry of Higher Education and Scientific Research Baghdad Iraq Department of Communication Technology Engineering College of Information Technology Imam Ja'afar Al-Sadiq University Baghdad Iraq School of Aeronautical Engineering AnYang University Anyang China Department of Medical Instrumentation Technical Engineering Medical Technical College Al-Farahidi University Baghdad Iraq School of Computing Skyline University College University City Sharjah Sharjah UAE College of Engineering and Technology University of Science and Technology of Fujairah Fujairah UAE Computer Science Department Centre for Cyber Physical Systems Khalifa University Center for Cyber Security Faculty of Information Science and Technology Universiti Kebangsaan Malaysia (UKM) Bangi Selangor Malaysia

ISBN: (数字)9798350394962

ISBN: (纸本)9798350394979

The privacy of sensitive data within the Internet of Things (IoT) is at risk due to potential privacy violations. These violations can occur through illegal access by external entities, as well as inadvertent disclosures or intentional attacks by those within the system who exceed their authorized access privileges. Furthermore, there needs to be more control experienced by data owners regarding their sensitive data as it transitions from their domain to other entities within the Internet of Things (IoT) ecosystem. Numerous methods have been presented in the academic literature over the past few years to effectively tackle the privacy concerns associated with the Internet of Things (IoT). This paper aims to classify existing literature by organizing it according to the specific technology or technique employed to safeguard privacy. The classification encompasses four primary areas of privacy solutions, specifically, solutions based on encryption, solutions based on identity management, solutions based on policy enforcement, and solutions focused on self-protection. The paper examines various state-of-the-art solutions within each category. It begins by providing a broad comparison between these solutions and our work. Subsequently, it focuses on a specific comparison of the privacy objectives of the offered PEFM solutions.

关键词： Privacy Data privacy Reviews Ecosystems Encryption Internet of Things Resilience

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What Do We Know About Our Rights to Data Protection? A Greek Case Study 8th

What Do We Know About Our Rights to Data Protection? A Greek...

引用

8th e-Democracy International Conference on Safeguarding Democracy and Human Rights in the Digital Age, e-Democracy 2019

作者： Sideri, Maria Fontaras, Athanasios Gritzalis, Stefanos Privacy Engineering and Social Informatics Laboratory Department of Cultural Technology and Communication University of the Aegean Lesvos81100 Greece e-Governance Department National Centre for Scientific Research "Demokritos" Athens15310 Greece Laboratory of Systems Security Department of Digital Systems University of Piraeus Piraeus18534 Greece

ISBN: (纸本)9783030375447

Technological developments have led to tools for collecting personal data in a volume and form that in the past would have been difficult to gather. This creates new opportunities for public and private sector agencies to store and process personal data for a variety of purposes, while it also produces risks for data subjects regarding data protection and privacy. In this frame, the General Data Protection Regulation (GDPR) focuses on enhancing data subjects’ rights in order to increase their control over personal data, establishing at the same time stricter obligations for data controllers and compliance monitoring procedures. This research explores a group of Greek data subjects’ knowledge about their rights and the rights-related behavior showing that, one year after the implementation of GDPR, they are not yet fully aware of all their rights and in some cases they do not know how to exercise these rights. © Springer Nature Switzerland AG 2020.

关键词： Data privacy

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A Secure and Trusted Mechanism for Industrial IoT Network using Blockchain

arXiv

引用

arXiv 2022年

作者： Rathee, Geetanjali Ahmad, Farhan Jaglan, Naveen Konstantinou, Charalambos The Department of Computer Science and Engineering Netaji Subhas University of Technology Dwarka Sector-3 New Delhi India The Systems Security Group Centre for Future Transport and Cities Coventry University Warwickshire CV1 5FB United Kingdom The Department of Electronics and Communication Engineering Jaypee University of Technology Waknaghat 173234 India Thuwal 23955-6900 Saudi Arabia

Industrial Internet-of-Things (IIoT) is a powerful IoT application which remodels the growth of industries by ensuring transparent communication among various entities such as hubs, manufacturing places and packaging units. Introducing data science techniques within the IIoT improves the ability to analyze the collected data in a more efficient manner, which current IIoT architectures lack due to their distributed nature. From a security perspective, network anomalies/attackers pose high security risk in IIoT. In this paper, we have addressed this problem, where a coordinator IoT device is elected to compute the trust of IoT devices to prevent the malicious devices to be part of network. Further, the transparency of the data is ensured by integrating a blockchain-based data model. The performance of the proposed framework is validated extensively and rigorously via MATLAB against various security metrics such as attack strength, message alteration, and probability of false authentication. The simulation results suggest that the proposed solution increases IIoT network security by efficiently detecting malicious attacks in the network. Copyright © 2022, The Authors. All rights reserved.

关键词： Blockchain

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