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13th International Workshop on Resilient Networks Design and Modeling, RNDM 2023

作者： Vatten, Trond Jiang, Yuming Heegaard, Poul E. Ntnu - Norwegian University of Science and Technology Department of Information Security and Communication Technology Norway

ISBN: (纸本)9798350327359

This paper investigates the critical role of network survivability under random failures or targeted attacks in Network Function Virtualization (NFV) environments and assesses the survivability of NFV networks under different recovery strategies. Through a comprehensive application of the ClusPR framework, we simulated various failure events, which include both random and targeted failures. Our survivability assessment focuses on the temporal dimension and compares different repair sequences in network recovery and explores potential mitigation strategies. These strategies involve re-optimization of network function placement upon structural network changes and prioritization of node repairs according to different centrality measures. Our findings revealed that the resilience of the network was greatly dependent on its specific topology and that the efficacy of the recovery strategies varied accordingly. In some cases, the use of sub-optimal strategies appeared to decrease the network survivability, demonstrating the importance of the recovery strategy. The results provide valuable insights into improving the survivability of NFV networks in the face of failures and can have implications for network management and policy. © 2023 IEEE.

关键词： Network function virtualization

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ChatGPT Language Model as Support for Teaching and Self-learning in the Field of Engineering and Technical sciences 19thth

ChatGPT Language Model as Support for Teaching and Self-l...

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19th International Conference on Computer Aided Systems Theory, EUROCAST 2024

作者： Czemplik, Anna Karcz-Duleba, Iwona Department of Control Systems and Mechatronics Faculty of Information and Communication Technology Wroclaw University of Science and Technology Wroclaw Poland

ISBN: (纸本)9783031829512

Widespread availability of ChatGPT has posed new challenges for teaching and learning. The paper examines whether and how the chat can be used to support teaching and self-learning in engineering and technical sciences domains. ChatGPT (version 3.5) was tested and assessed in a similar way as our students were. Different types of exams (exclusion tests, multiple choice tests, open questions) were carried out in two areas: control theory and metaheuristics. On average, the chat received quite good marks. However, it had a problem with questions that required detailed information and understanding of the subject. A number of conclusions have been drawn from the research. In general, AI can be helpful to teachers and students if used wisely. However, it must be emphasized that the use of the chat can not be uncritical, and almost all information should be carefully checked and validated, especially in engineering and technical sciences where precision and unambiguity are important. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： ChatGPT Engineering Teaching Support Technical sciences

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Analytical Conversion of the Strejc Model to the First Order with Time Delay (FOTD) Model 19thth

Analytical Conversion of the Strejc Model to the First O...

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19th International Conference on Computer Aided Systems Theory, EUROCAST 2024

作者： Czemplik, Anna Department of Control Systems and Mechatronics Faculty of Information and Communication Technology Wroclaw University of Science and Technology Wroclaw Poland

ISBN: (纸本)9783031829512

Several variants of analytical conversion of the Strejc model to the First-Order Time Delay (FOTD) model have been proposed. This conversion extends the applicability of control system design methods that are based on FOTD models. An example of applying the Ziegler-Nichols method to a control system with the Strejc model is presented. Additionally, the reverse operation - converting the FOTD model to the Strejc model - is also feasible and can be employed as a method for identifying the Strejc model. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Delay-sensitive applications

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Analysis of the Impact of Time Window Lengths on Maintenance Vehicle Routing Problem Efficiency 20th

Analysis of the Impact of Time Window Lengths on Mainten...

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20th International Conference on Dependability of Computer Systems, DepCoS-RELCOMEX 2025

作者： Pempera, Konrad Jaroszczuk, Michal Department of Control Systems and Mechatronics Faculty of Information and Communication Technology Wroclaw University of Science and Technology Wroclaw Poland

ISBN: (纸本)9783031927331

In this paper the MILP model for Vehicle Routing Problem with Time Windows (VRPTW) is presented in application of building facilities maintenance. Real-life constraints such as time limit constraint and penalties for exceeding location time windows were formulated. Improved Tabu Search algorithm was proposed with an initial solution obtained by Greedy Nearest Neighbour heuristic and compared with Gurobi solver. Computer experiments were performed on Solomon instances with different length of time windows. The results show that Tabu search outperforms other methods in defined time limit and returns the best results for narrow time windows. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Linear programming

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A Graph-Based Semi-Supervised Approach for Few-Shot Class-Incremental Modulation Classification

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China communications 2024年第11期21卷 88-103页

作者： Zhou Xiaoyu Qi Peihan Liu Qi Ding Yuanlei Zheng Shilian Li Zan State Key Laboratory of Integrated Service Networks Xidian UniversityXi’an 710071China Xinjiang Astronomical Observatory Chinese Academy of SciencesUrumqi 830011China The No.011 Research Center Science and Technology on Communication Information Security Control LaboratoryJiaxing 314033China

With the successive application of deep learning(DL)in classification tasks,the DL-based modulation classification method has become the preference for its state-of-the-art ***,once the DL recognition model is pre-trained with fixed classes,the pre-trained model tends to predict incorrect results when identifying incremental ***,the incremental classes are usually emergent without label information or only a few labeled samples of incremental classes can be *** this context,we propose a graphbased semi-supervised approach to address the fewshot classes-incremental(FSCI)modulation classification *** proposed method is a twostage learning method,specifically,a warm-up model is trained for classifying old classes and incremental classes,where the unlabeled samples of incremental classes are uniformly labeled with the same label to alleviate the damage of the class imbalance *** the warm-up model is regarded as a feature extractor for constructing a similar graph to connect labeled samples and unlabeled samples,and the label propagation algorithm is adopted to propagate the label information from labeled nodes to unlabeled nodes in the graph to achieve the purpose of incremental classes *** results prove that the proposed method is superior to other finetuning methods and retrain methods.

关键词： deep learning few-shot label propagation modulation classification semi-supervised learning

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Teachers cooperation:team-knowledge distillation for multiple cross-domain few-shot learning

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Frontiers of Computer science 2023年第2期17卷 91-99页

作者： Zhong JI Jingwei NI Xiyao LIU Yanwei PANG School of Electrical and Information Engineering Tianjin UniversityTianjin 300072China Science and Technology on Electro-Optical Information Security Control Laboratory Tianjin 300308China Tianjin Key Laboratory of Brain-Inspired Intelligence Technology Tianjin 300072China

Although few-shot learning(FSL)has achieved great progress,it is still an enormous challenge especially when the source and target set are from different domains,which is also known as cross-domain few-shot learning(CD-FSL).Utilizing more source domain data is an effective way to improve the performance of ***,knowledge from different source domains may entangle and confuse with each other,which hurts the performance on the target ***,we propose team-knowledge distllation networks(TKD-Net)to tackle this problem,which explores a strategy to help the cooperation of multiple ***,we distill knowledge from the cooperation of teacher networks to a single student network in a meta-learning *** incorporates task-oriented knowledge distillation and multiple cooperation among teachers to train an efficient student with better generalization ability on unseen ***,our TKD-Net employs both response-based knowledge and relation-based knowledge to transfer more comprehensive and effective *** experimental results on four fine-grained datasets have demonstrated the effectiveness and superiority of our proposed TKD-Net approach.

关键词： cross-domain few-shot learning meta-learning knowledge distillation multiple teachers

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Dependency-based security risk assessment for cyber-physical systems

Dependency-based security risk assessment for cyber-physical...

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作者： Akbarzadeh, Aida Katsikas, Sokratis K. Department of Information Security and Communication Technology Norwegian University of Science and Technology Gjøvik Norway

A cyber-physical attack is a security breach in cyber space that impacts on the physical environment. The number and diversity of such attacks against Cyber-Physical Systems (CPSs) are increasing at impressive rates. In times of Industry 4.0 and Cyber-Physical Systems, providing security against cyber-physical attacks is a serious challenge which calls for cybersecurity risk assessment methods capable of investigating the tight interactions and interdependencies between the cyber and the physical components in such systems. However, existing risk assessment methods do not consider this specific characteristic of CPSs. In this paper, we propose a dependency-based, domain-agnostic cybersecurity risk assessment method that leverages a model of the CPS under study that captures dependencies among the system components. The proposed method identifies possible attack paths against critical components of a CPS by taking an attacker’s viewpoint and prioritizes these paths according to their risk to materialize, thus allowing the defenders to define efficient security controls. We illustrate the workings of the proposed method by applying it to a case study of a CPS in the energy domain, and we highlight the advantages that the proposed method offers when used to assess cybersecurity risks in CPSs. © 2022, The Author(s).

关键词： Risk assessment

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SAEOn: An Ontological Metamodel for Quantitative security Assurance Evaluation 1

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8th Workshop on the security of Industrial control Systems and of Cyber-Physical Systems, CyberICPS 2022, 6th International Workshop on security and Privacy Requirements Engineering, SECPRE 2022, 4th Workshop on security, Privacy, Organizations, and Systems Engineering, SPOSE 2022, 3rd Cyber-Physical security for Critical Infrastructures Protection, CPS4CIP 2022, 2nd International Workshop on Cyber Defence Technologies and Secure communications at the Network Edge, CDT and SECOMANE 2022, 1st International Workshop on Election Infrastructure security, EIS 2022 and 1st International Workshop on System security Assurance, SecAssure 2022 held in conjunction with 27th European Symposium on Research in Computer security, ESORICS 2022

作者： Wen, Shao-Fang Katt, Basel Department of Information Security and Communication Technology Norwegian University of Science and Technology Gjøvik Norway

ISBN: (数字)9783031254604

ISBN: (纸本)9783031254598

security assurance is a critical aspect in determining the trustworthiness of information and communication technology systems. security assurance evaluation (SAE) is the process responsible for gathering assurance shreds of evidence to check if the defined security requirements are fulfilled. SAE can be generally categorized into qualitative and quantitative methods. As there is still a dearth of studies on the quantitative SAE, this paper intends to fill this gap by proposing an ontological quantitative security assurance evaluation metamodel (SAEOn). This ontology allows us to define the entities of the SAE and the assurance metrics separately and relate them to each other in a modular way. With the formal definition of SAE metamodel, the constructed knowledge content can be reused, shared, and exchanged over time. Moreover, the proposed metamodel is structured in a hierarchical fashion, by which we believe the ontology is sufficiently generic and highly customizable that can be applied in various application domains. In this paper, we present the proposed SAEOn ontology in detail, covering the aspects of design, implementation, and evaluation. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Ontology

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The Impact of Stealthy Data Integrity Attacks on Wide-Area Monitoring System Applications

The Impact of Stealthy Data Integrity Attacks on Wide-Area M...

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2024 IEEE PES Innovative Smart Grid Technologies Europe Conference, ISGT EUROPE 2024

作者： Mishchenko, Denys Oleinikova, Irina Erdodi, László Pokhrel, Basanta Raj Norwegian University of Science and Technology Department of Electric Energy Trondheim Norway Norwegian University of Science and Technology Department of Information Security and Communication Technology Trondheim Norway

ISBN: (纸本)9789531842976

Cybersecurity has become a paramount concern in light of the potential consequences of disruptions within the energy sector, such as widespread outages resulting from successful cyber-attacks. To meet this challenge this paper aims to delve into the impact of data integrity attacks on the Wide-Area Monitoring System (WAMS) at the application level. The study outlines various models of data integrity attacks that substitute original data. Using these attack models, the consequences of attacks on WAMS are simulated and analyzed. These attacks are designed with complex behavior to mimic real processes in power systems, potentially misleading related systems and operators. The performed case studies use cyber-physical testbed facilities with industrial WAMS applications to showcase the impact of these stealthy attacks. © 2024 IEEE.

关键词： Cyber attacks

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Frequency Agile Strategy Design of Radar Network for Wideband Sweep Jamming via Coalition Formation Game

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IEEE Transactions on Aerospace and Electronic Systems 2025年第3期61卷 7906-7919页

作者： Liao, Maosen Xiong, Kui Zhang, Long Yu, Xianxiang Cui, Guolong University of Electronic Science and Technology of China School of Information and Communication Engineering Chengdu611731 China Laboratory of Electromagnetic Space Cognition and Intelligent Control Technology Beijing100089 China School of Information and Communication Engineering Chengdu611731 China UESTC Shenzhen Institute for Advanced Study Chengdu611731 China

This article proposes an intelligent frequency agile strategy design for radar network using coalition game theory to counter wideband sweep jamming, which is formulated as a two-stage decision-making problem. In the first stage, the entire frequency agile range is divided into several nonoverlapping agile subrange, and each radar selects a frequency agile subrange to join, which is solved by the coalition formation algorithm. Then, after achieving a stable coalition partition, a distributed multiagent reinforcement learning algorithm is developed to address the specific carrier frequency selection problem within each coalition. By combining these two stages of the frequency agile strategy design, a joint coalition formation game and distributed Q-learning algorithm is proposed. Finally, numerical simulations are conducted to illustrate the superiority of the proposed algorithm over several typical frequency agile strategies. © 1965-2011 IEEE.

关键词： Jamming

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