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Enhancing Explainability of Artificial Intelligence for threat Detection in SDN-based Multicast Systems 16

Enhancing Explainability of Artificial Intelligence for Thre...

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16th international conference on Ambient Systems, Networks and Technologies Networks, ANT 2025 / 8th international conference on Emerging Data and Industry 4.0, EDI40 2025

作者： Prasad, Preety Tahir, Mohammad Isoaho, Jouni Department of Computing University of Turku Turku20014 Finland

the increasing adoption of Artificial Intelligence (AI) based Software-Defined networking (SDN) in multicast systems has improved network management and traffic efficiency. However, for network administrators, understanding AI outcomes and explanations for how conclusions are reached in threat detection and mitigation is essential for strengthening their overall security framework. Additionally, centralized control planes in SDN introduce new security challenges, which can complicate the detection and mitigation of various network threats. In this regard, this paper presents a novel framework that integrates Explainable AI (XAI) with SDN to detect and mitigate threats in real-time. the proposed framework leverages a hybrid machine learning model, using Convolutional Neural Networks (CNN) for analyzing network traffic features and Long Short-Term Memory (LSTM) networks for identifying patterns and anomalies. To enhance transparency and explanation for the threat detection process, the framework incorporates both LIME (Local Interpretable Model-Agnostic Explanations) and SHAP (SHapley Additive exPlanations). LIME provides local explanations by generating perturbed data instances and training a surrogate model to identify the most influential features in a specific prediction. this allows the network administrators to understand how different network features contribute to the classification decision. SHAP, on the other hand, quantifies the contribution of each feature to the overall model decision by computing Shapley values, offering a global perspective of feature importance. this approach offers a more effective and transparent solution for SDN systems in a multicast environment, improving threat detection and security. © 2025 Elsevier B.V.. All rights reserved.

关键词： Convolutional neural networks

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P2P Strategy for Energy Cost Reduction in Multi-Energy Hubs Considering Uncertainty and Flexibility

P2P Strategy for Energy Cost Reduction in Multi-Energy Hubs ...

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Technology and Energy Management (ICTEM), international conference on

作者： Sayyad Nojavan Esmaeil Valipour Department of Electrical Engineering University of Bonab Bonab Iran

the peer-to-peer (P2P) energy transaction scheme is a new structure being recently used in the local energy markets to develop flexibility of energy hubs when energy cost is high. this study proposes a Norwegian industrial area with integrated multi-energy hubs (MEHs) that are integrated with distributed energy resources (DERs), including, photovoltaic system (PV), wind turbine (WT), convex and non-convex CHP units, onsite flexibility, and plug-in electric vehicles (EVs). Despite electrical energy trading, heat energy is also considered for P2P transactions in the presence of CHP units. In this paper, objective function is analyzing the effectiveness of the P2P strategy for energy cost reduction concerning the substantial peak power charge. According to the obtained results, the P2P framework increases the flexibility of the integrated hubs in the case of energy management by nearly 30%. Because industrial buildings have shared a significant level of their thermal and power generation (from 1500 to 2500 kW) to meet the energy demands.

关键词： Analytical models Costs Uncertainty Power demand Cogeneration Buildings Peer-to-peer computing

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An Efficient Batch Verification Scheme for SM2 Signatures 8

An Efficient Batch Verification Scheme for SM2 Signatures

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8th international conference on Dependable Systems and their Applications, DSA 2021

作者： Liu, Dingning Yuan, Yuyu Xue, Tengfei Chen, Lei Beijing University of Posts and Telecommunications Key Laboratory of Trustworthy Distributed Computing and Service Ministry of Education China Huawei Technologies Co. Ltd China

ISBN: (纸本)9781665443913

SM2 cryptographic algorithm is an elliptic curve public key algorithm released by China's State Cryptography Administration, which includes digital signature algorithms, key exchange protocols, public key encryption algorithms, etc. As SM2 is widely used in identity authentication and authorization services in scenarios such as e-government, e-commerce and national economy, we found that there is less research on batch verification scheme for SM2 signatures to improve the performance of multi-verification tasks. In this paper, we provide an efficient batch verification scheme for SM2 signatures which is based on the public key verification and calculation of original algorithm. Different from single verification at a time, it can improve the calculation speed by verifying multiple signatures together. Aiming at the possibility of future use in industrial applications, we then provide a highly available implementation of the algorithm. Also, we discuss the verification performance for different quantity of signers and signatures. © 2021 IEEE.

关键词： Electronic document identification systems

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A Heterogeneous KBA Parallel Algorithm for the Cartesian Discrete Ordinates for Multizone Heterogeneous System

A Heterogeneous KBA Parallel Algorithm for the Cartesian Dis...

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international conference on Computers, Communications, and Systems (ICCCS)

作者： Runhua Li Jie Liu Science and Technology on Parallel and Distributed Processing Laboratory National University of Defense Technology Changsha China

Innovations in powerful high-performance computing (HPC) architecture are enabling high-fidelity whole-core neutron transport simulations at reasonable time. Especially, the currently fashionable heterogeneous architectures make the cost of such simulations at very low level. Neutron distribution of a reactor core is governed by the Boltzmann neutron transport equation (BTE), first viable solutions of which need tremendous computer resources. Among of the high-fidelity numerical methods, the discrete ordinates method (SN) is becoming popular in the reaction design community by taking a good balance between computational cost and accuracy. Recently, MT-3000, which is a multizone heterogeneous architecture with a peak double precision performance of 11.6 TFLOPS, is proposed. In this work, the BTE is solved by the SN with heterogenous Koch-Baker-Alcouffe (KBA) parallel algorithms based on the MT-3000 architecture. A communication mechanism has been established to efficiently transmit data among the acceleration cores and the CPU cores. the kernel computation procedure is largely accelerated by the vectorization and instruction pipelining techniques. Numerical experiments show that our formulation could achieve 1.37 TFLOPs with single MT-3000, that is 11.8% of its peak performance.

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AI-Driven User Experience Design: Exploring Innovations and Challenges in Delivering Tailored User Experiences

AI-Driven User Experience Design: Exploring Innovations and ...

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international conference on Information Technology Research (ICITR)

作者： Prasadini Padmasiri Pramukthika Kalutharage Nethma Jayawardhane Jagath Wickramarathne Faculty of Graduate Studies and Research Sri Lanka Institute of Information Technology Malabe Sri Lanka Faculty of Computing Sri Lanka Institute of Information Technology Malabe Sri Lanka

In today’s digital landscape, providing user experiences is considered paramount in respective of user satisfaction and engagement. Artificial Intelligence (AI) has emerged as a transformative force in the User Experience (UX) design field, offering innovative solutions. Our research delves into key innovations and challenges enabled by AI in UX design particularly guided by Design thinking (DT) process. the methodology involved administering a questionnaire to UX professionals in Sri Lanka using a snowball sampling method. the questionnaire, distributed through online platforms, explored participants’ familiarity with AI-driven UX design, contributions of AI in the DT process, and challenges faced, and the responses were analyzed using MS Excel and R Studio. the results demonstrate that AI technologies certainly empower UX professionals to design user-centric solutions adhering to DT process. A “Recommendation Guide” is provided, featuring a set of recommended tools for UX professionals to integrate AI technologies into the DT process.

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Scalable Personalised Treatment Recommendation in Critical Care

Scalable Personalised Treatment Recommendation in Critical C...

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international conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE)

作者： Chandra Prasetyo Utomo Kohei Ichikawa Nashuha Insani Kundjanasith thonglek Soratouch Pornmaneerattanatri Ummi Azizah Rachmawati Department of Informatics Universitas YARSI Jakarta Indonesia Division of Information Science Nara Institute of Science and Technology Nara Japan Cybermedia Center Osaka University Osaka Japan

ISBN: (数字)9798350368970

ISBN: (纸本)9798350368987

Sepsis is the leading cause of death in crit-ical care. Most sepsis patients did not receive effective treatment timely. Non-optimal medical treatments can lead to a lower survival rate. We aim to develop an effective treatment recommendation system for a sepsis-related patient in critical care based on reinforcement learning (RL). the main challenges are uncertainty in treatment effect, large model creation, and intensive computation. In this paper, we proposed our novel personalised treatment recommendation. We designed our concise patient representation based on the treatment effect. We clustered all patients and computed individual optimal policies for each cluster. We applied parallel and distributed computing to reduce model training time. We evaluated our proposed method using the MIMIC-III database. the result shows that our proposed method produced better policy values than baseline methods. Our scalable and efficient computation may lead to an effective and timely treatment recommendation system to help medical staff provide better healthcare delivery and increase survival rates.

关键词： Training Uncertainty Computational modeling MIMICs Training data Medical treatment Reinforcement learning Sepsis distributed computing Recommender systems

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IoT based Intelligent Parking System for Smart Cities

IoT based Intelligent Parking System for Smart Cities

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international conference on computing Communication Control and Automation (ICCUBEA)

作者： Bhavana Narsingoju Rajashree Jain Bali Shankar Khurana Symbiosis Institute of Computer Studies and Research Symbiosis International University Pune India MCA Department Pimpri Chinchwad College of Engineering Pune India

ISBN: (数字)9798350391770

ISBN: (纸本)9798350391787

In the era of smart cities with Internet of things every time there is a need of innovative and sustainable solutions for parking and smart cities management. the solutions which are developed are not sufficient enough to derive the best and sustainable outcomes. In densely populated areas in metro cities with high compactness, due to the insufficiency of parking space, many vehicles navigate searching for available parking spaces, requiring time to locate a suitable parking spot. the search for parking leads to various challenges like consumption of time, fuel consumption, traffic congestion, air pollution, and stress on drivers. the implementation of an intelligent parking system gives solutions to optimize the time, reduce fuel consumption and carbon emission and most importantly keep drivers free from *** main objective of this paper is to perform comprehensive study and present the analysis of Intelligent parking systems on the basis of networking technologies, various technical and computational approaches, user interfaces and services provided. this study will provide the clear idea of a design for sustainable intelligent parking system in various environments having its advantages, disadvantages, and research gap. Future scope of this work is to provide the opportunity to researchers, policy makers and other stakeholders to design and implement intelligent parking system in metro cities.

关键词： Space vehicles Wireless communication Protocols Smart cities Automated parking User interfaces Real-time systems Fuels Traffic congestion Intelligent sensors

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Discussion on Network Information Security Based on Cloud computing Environment

Discussion on Network Information Security Based on Cloud Co...

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international conference on Network and Information Systems for Computers (ICNISC)

作者： Ting Chen Haiyan Liu Industrial &Internet College Beijing Information Technology College Beijing China

ISBN: (纸本)9781665453523

With the explosive advancement of social development and technological change, cloud computing technology has developed rapidly in China in recent years. Data and information security in cloud computing environment has become the focus of attention. Cloud computing technology integrates a large number of computers scattered on the network to build a powerful computer cloud. Computers distributed on this network can read and write data and obtain services according to needs, so as to provide powerful computer cloud platform services. Cloud computing technology is developing rapidly, but there are also many problems. On this cloud platform, how to ensure the security of data stored in the network environment is an urgent problem to be solved. On the one hand, this paper discusses the concept and characteristics of cloud computing technology. On the other hand, it discusses how to ensure data security in the cloud computing environment.

关键词： Computers Cloud computing Data security Information security distributed databases Explosives Information systems

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An Efficient Vehicle Tyre Pressure Monitoring Algorithm Based on Quasi-distributed computing and Recursive Least Squares

An Efficient Vehicle Tyre Pressure Monitoring Algorithm Base...

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conference on Vehicle Control and Intelligence (CVCI)

作者： Daolin Zhou Xiangyu Wang Xiaoming Ye Feng Lai Chunlai Zhao Menghao Wei School of Vehicle and Mobility Tsinghua University Beijing China Research&Development Institute DONGFENG Motor Corportion Wuhan China

ISBN: (数字)9798331504892

ISBN: (纸本)9798331504908

Indirect tyre pressure monitoring system (ITPMS) can effectively reduce tyre blowouts risk and enhance high-speed vehicle operation safety, gradually emerging as a rapidly popular-ized on-board electronic control safety product. ITPMS imposes stringent requirements on the memory space and computational capabilities of embedded systems, particularly for cost-sensitive products such as Electronic Stability Program (ESP) and Anti-lock Braking System (ABS). this paper proposes a method utilizing Recursive Least Squares (RLS) for natural frequency identification, transforming spatial requirements into iterative signal demands along the time dimension to mitigate memory usage. Additionally, a quasi-distributed computing architecture (QDCA) is proposed to distribute the natural frequency identifi-cation process across different time segments, thereby enhancing computational efficiency. During the trial and validation process, the proposed method is deployed within ABS. Experimental validation demonstrates that this method achieves equivalent monitoring accuracy while reducing memory usage by 11.2% and enabling natural frequency updates within 500ms.

关键词： Learning systems Time-frequency analysis Embedded systems Memory management Tires Real-time systems Computational efficiency Safety Iterative methods Monitoring

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Two Kinds of Infinite Petri Nets for Modeling computing and Communication Systems 8

Two Kinds of Infinite Petri Nets for Modeling Computing and ...

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8th IEEE international conference on Problems of Infocommunications, Science and Technology, PIC S and T 2021

作者： Zaitsev, Dmitry Shmeleva, Tatiana Probert, David E. Odessa State Environmental University Department of Information Technology Odessa Ukraine State University of Intellectual Technologies And Telecommunications Department of Computer Science Odessa Ukraine Vaza Cybersecurity Newbury Berkshire United Kingdom

ISBN: (纸本)9781665406826

Correctness of networking protocols represents the principal requirement of cybersecurity. Correctness of protocols is established via the procedures of their verification. A classical communication system includes a pair of interacting systems. Recent developments of computing and communication grids for radio broadcasting, cellular networks, communication subsystems of supercomputers, specialized grids for numerical methods, and networks on chips require verification of protocols for any number of devices. For analysis of computing and communication grid structures, a new class of infinite Petri nets has been introduced and studied for more than 10 years. Infinite Petri nets were applied also for simulating cellular automata. Rectangular, triangular, and hexagonal grids on plane, hyper cube and hyper torus in multidimensional space have been considered. Composing and solving in parametric form infinite Diophantine systems of linear equations allowed us to prove the protocol properties for any grid size and any number of dimensions. In the present paper, infinite Petri nets are divided into two following kinds: a single infinite construct and an infinite set of constructs of specified size (and number of dimensions). Finally the paper discusses possible future work directions. © 2021 IEEE.

关键词： Petri nets

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