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The Research Study on Identification of Threats and Security Techniques in Cloud Environment 1

The Research Study on Identification of Threats and Security...

引用

2023 1st DMIHER International conference on Artificial Intelligence in Education and Industry 4.0, IDICAIEI 2023

作者： Gahane, Shailesh Verma, Prateek Datta Meghe Institute of Higher Education and Research Faculty of Sciences and Technology Wardha442001 India Datta Meghe Institute of Higher Education and Research Faculty of Engineering and Technology Wardha442001 India

ISBN: (纸本)9798350338423

Cloud computing allows you to share advantages over the Internet with the use of Internet composites, group of jobs, extra room and various programming initiatives. Cloud master associations can lease different benefits to customer needs and companies can pay for cloud client businesses. Nonetheless, the various security issues related to all cloud benefits, programming, virtualization, hardware, architectures, multitenant data and master associations are a fundamental barrier to cloud allocation in the IT business. The paper describes the following security risks: Cloud relationships, such as those between suppliers and customers, can use and affect cloud pieces;and Safety precautions must be implemented to reduce these hazards. These courses combine particular security strategies or advancements over current combinations with the finest security practices that cloud administrators can receive. The composition of this paper is to propose security risks and sparse registration guidelines, In-use processing risks that are fundamental and severe, as well as their particular effects on cloud goods and depicts security responses to prevent these risks. This research paper identifies the security risk and measures that could be implemented effectively on cloud computing threats and to know the security techniques for security progress on data security and cloud security for denying various types of dangers. © 2023 ieee.

关键词： network security

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Combined MV-LV Power Grid Operation: Comparing Sequential, Integrated, and Decentralized Control architectures 5

Combined MV-LV Power Grid Operation: Comparing Sequential, I...

引用

5th International conference on Smart Energy Systems and Technologies (SEST)

作者： Zhan, Sen Morren, Johan van den Akker, Wouter van der Molen, Anne Paterakis, Nikolaos G. Slootweg, J. G. Eindhoven Univ Technol Elect Energy Syst Eindhoven Netherlands

ISBN: (数字)9781665405577

ISBN: (纸本)9781665405577

The increasing connection of distributed energy resources (DERs) to low-voltage (LV) power grids challenges the operation of both connected LV grids and upstream medium-voltage (MV) grids, through power flow via the MV/LV transformers. Handling the coupling between MV and LV grids calls for combined MV-LV network operation models. This study develops various optimization-based models, built respectively on sequential, integrated, and decentralized control architectures. A new objective function is also designed to attain fairer DER curtailment strategies. For the decentralized architecture, this study explores the generalized Benders decomposition (GBD) and two augmented Lagrangian relaxation (ALR)-based approaches: the alternating direction method of multipliers (ADMM) and the auxiliary problem principle (APP). Computational results based on open-source Simbench networks show reduced power curtailment from the integrated architecture compared to the sequential one. For decentralization, GBD already shows superior convergence performance compared to ADMM and APP under moderate accuracy requirements. Under higher accuracy requirements, GBD maintains fast convergence, while ADMM and APP fail to converge in a reasonable number of iterations.

关键词： Distribution system management integrated MV-LV network operation decentralized optimization

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Automatic Relation-aware Graph network Proliferation

Automatic Relation-aware Graph Network Proliferation

引用

ieee/CVF conference on Computer Vision and Pattern Recognition (CVPR)

作者： Cai, Shaofei Li, Liang Han, Xinzhe Luo, Jiebo Zha, Zheng-Jun Huang, Qingming Chinese Acad Sci Key Lab Intell Info Proc Inst Comput Tech Beijing Peoples R China Univ Chinese Acad Sci Beijing Peoples R China Univ Rochester Rochester NY USA Univ Sci & Technol China Hefei Peoples R China Peng Cheng Lab Shenzhen Peoples R China

ISBN: (数字)9781665469463

ISBN: (纸本)9781665469463

Graph neural architecture search has sparked much attention as Graph Neural networks (GNNs) have shown powerful reasoning capability in many relational tasks. However, the currently used graph search space overemphasizes learning node features and neglects mining hierarchical relational information. Moreover, due to diverse mechanisms in the message passing, the graph search space is much larger than that of CNNs. This hinders the straightforward application of classical search strategies for exploring complicated graph search space. We propose Automatic Relation-aware Graph network Proliferation (ARGNP) for efficiently searching GNNs with a relation-guided message passing mechanism. Specifically, we first devise a novel dual relation-aware graph search space that comprises both node and relation learning operations. These operations can extract hierarchical node/relational information and provide anisotropic guidance for message passing on a graph. Second, analogous to cell proliferation, we design a network proliferation search paradigm to progressively determine the GNN architectures by iteratively performing network division and differentiation. The experiments on six datasets for four graph learning tasks demonstrate that GNNs produced by our method are superior to the current state-of-the-art handcrafted and search-based GNNs.

关键词： Deep learning Upper bound Message passing Microprocessors Design methodology Computer architecture Search problems

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A Feasibility Study of Using Code Clone Detection for Secure programming Education 46

A Feasibility Study of Using Code Clone Detection for Secure...

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46th Annual ieee-Computer-Society International Computers, Software, and Applications conference (COMPSAC) - Computers, Software, and Applications in an Uncertain World

作者： Menard, Michael Nelson, Tommy Shahi, Milan Morton, Hugh DeTavernier, Adam Siy, Harvey Zhao, Rui Song, Myoungkyu Univ Nebraska Dept Comp Sci Omaha NE 68182 USA

ISBN: (纸本)9781665488105

Secure library reuse is critical for modern applications to protect private information in software security engineering. Teaching secure programming is also more critical to tackle the challenges of new and evolving threats. However, novice students often make mistakes by API misuses due to a lack of understanding of secure libraries or a false sense of security. In this paper, we study the feasibility of applying code clone detection (CCD) for finding relevant examples to effectively teach secure programming to computer science students. CCD is an emerging new technology that extracts syntactically or semantically similar code fragments to support many software engineering tasks, such as program understanding, code quality analysis, software evolution analysis, and bug detection. We have developed a prototype implementation ExTutor that allows students to search for relevant examples as feedback when they want to fix their programming issues or vulnerabilities. In our evaluation, we applied ExTutor to open source subject applications in the security domain. Our approach should help novice students gain benefits from feedback and identify how to effectively make use of APIs, encouraging students to fix their own security violations in their own applications.

关键词： Charge coupled devices Codes Education Cloning Software Libraries Velocity measurement

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Design of network setup automation using gitops operation 39

Design of network setup automation using gitops operation

引用

39th International conference on Information networking, ICOIN 2025

作者： Vitumbiko, Mafeni Kim, Younghan Soongsil University School of Electronic Engineering Seoul South Korea

ISBN: (纸本)9798331506940

The deployment of cloud-native private 5G networks on public, private, or hybrid cloud platforms is becoming a key trend for operators and vendors. While cloud-native architectures offer rapid and software-driven deployments, they introduce challenges in automation, scaling, and network consistency. Current studies often lack validation in real-world environments. This paper presents a framework that uses open-source projects and GitOps principles to automate the deployment and management of cloud-native private 5 G networks on real infrastructure by leveraging Kubernetes and openStack. In addition, this paper addresses the fixed network topology issues encountered when transitioning from a test environment to a real production environment. The proposed framework facilitates rapid deployment and automation across multi-cluster environments, providing a practical solution for operators. © 2025 ieee.

关键词： Automation Deployment GitOps Kubernetes Multicluster Private 5G

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The Resilience Improvement Method of Distribution network Including SOP 1

引用

17th Annual conference of China Electrotechnical Society, CES 2022

作者： Zhao, Jingjing Li, Zibo Liu, Shuai Du, Ming Zhang, Chaoli School of Electric Power Engineering Shanghai University of Electric Power Shanghai200090 China

ISBN: (数字)9789819904082

ISBN: (纸本)9789819904075

In recent years, extreme weather such as typhoon and rainstorm have a great impact on the security of power system, and the resilience of power system has gradually become a problem of concern. This paper a distribution network resilience improvement method is proposed, which considering the multi-stage recovery process and soft open point (SOP). First, the concept of resilience, mathematical and control models of SOP are introduced, and the distribution network fault recovery model considering SOP is analysed. Secondly, a detailed modeling of the multi-stage recovery process including the topology and operational constraints of each stage is analysed. Finally, the model is expressed as a mixed integer linear programming problem, and the effectiveness of the proposed method is verified by on the ieee 33-node test feeder. © 2023, Beijing Paike Culture Commu. Co., Ltd.

关键词： Storms

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SEMU5G: an Emulator for Improving Model Accuracy and Performance Evaluation of 5G network Core architectures based on SDN 10

SEMU5G: an Emulator for Improving Model Accuracy and Perform...

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10th International conference on Wireless and Telematics, ICWT 2024

作者： Zaki Hamidi, Eki Ahmad Lazuardi, Arga Valen Rahmansyah, Muhammad Litfan Novel Bajri, Salman Alfarizi Tulloh, Rohmat Negara, Ridha Muldina Ahdan, Syaiful Jupriyadi UIN Sunan Gunung Djati Bandung Electrical Engineering Department Bandung Indonesia Telkom University Telecommunication Technology School of Applied Science Bandung Indonesia The University Center of Excellence Intelligent Sensing-IoT Telkom University Indonesia Telkom University School of Electrical Engineering Bandung Indonesia Universitas Teknokrat Indonesia Faculty of Engineering & Computer Science Indonesia Institut Teknologi Bandung School of Electrical Engineering and Informatics Bandung Indonesia Universitas Teknokrat Indonesia Faculty of Engineering and Computer Science Bandarlampung Indonesia

ISBN: (纸本)9798350377057

The rapid advancement of 5G Radio Access network (RAN) architecture is facilitating the construction of 5G networks, marking a significant milestone in telecommunications evolution. Given the complexity of the 5G core architecture, traditional simulation methods are insufficient, necessitating novel approaches. Emulator systems are crucial for creating dynamic, controlled environments that enable exploration of real-world scenarios without physical constraints. SEMU5G, a 5G core emulator, SDN controller, and RAN simulator, utilizes open5GS implemented in Docker Container for test system flexibility and isolation. Additionally, an SDN controller is integrated to monitor data flows in the User Plane Function (UPF) and gNB simulated by UERANSIM in Mininet-WiFi. This comprehensive integration facilitates effective and flexible real-world exploration, providing a dynamic and controlled test environment for 5G core research. Scenario testing comprises two stages: firstly, a fixed network topology is employed to compare resource usage and confirm successful SEMU5G integration. Secondly, a mobile network topology is utilized to implement a mobile device scenario and compare the Quality of Service (QoS) of SEMU5G with other available emulators. These stages ensure thorough evaluation of SEMU5G's performance and its comparative advantage over existing solutions. © 2024 ieee.

关键词： Wi-Fi

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Online Knowledge Distillation with Multi-Architecture Peers

Online Knowledge Distillation with Multi-Architecture Peers

引用

ieee International conference on Fuzzy Systems (FUZZ-ieee) / ieee World Congress on Computational Intelligence (ieee WCCI) / International Joint conference on Neural networks (IJCNN) / ieee Congress on Evolutionary Computation (ieee CEC)

作者： Zhu, Xuan Yao, Wangshu Song, Kang Soochow Univ Sch Comp Sci & Technol Suzhou Peoples R China Collaborat Innovat Ctr Novel Software Technol & I Nanjing Jiangsu Peoples R China

ISBN: (数字)9781728186719

ISBN: (纸本)9781728186719

Knowledge distillation is a technique that effectively trains a lightweight model with strong generalization ability under the supervision of a powerful teacher model. However, a well-trained teacher model is really time-consuming. Therefore, online knowledge distillation emerged, which uses the aggregated results of multiple student models to help each student model to converge. But existing online distillation methods have several drawbacks, such as unavailable teacher models and the lack of diversity among student models. These hinder the further improvement of network performance. In this work, we propose a new online knowledge distillation technique that trains diverse architecture auxiliary peers to enhance the final effect of knowledge distillation. We propose a Multi-Architecture Peers (MAP) mechanism, which enhances student models to learn diverse features and delivers a powerful ensemble result. Furthermore, we introduce a Feature Learning Module (FLM) that efficiently learns rich semantic information by combing feature maps generated from the last block of student models and generates precise weights for each student model. The experimental results on three image classification datasets: CIFAR10, CIFAR100, and SVHN show that our method trains diverse student models and achieves much better results than alternative methods.

关键词： Online knowledge distillation Feature fusion Multi-branch architectures

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Heterogeneous Pointer network for Travelling Officer Problem

Heterogeneous Pointer Network for Travelling Officer Problem

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作者： He, Rongguang Xiao, Xiao Kang, Yufan Zhao, Hongyu Shao, Wei Xidian Univ Sch Telecommun Engn Xian Peoples R China RMIT Univ Sch Comp Technol Melbourne Vic Australia State Key Lab CEMEE Luoyang Peoples R China Arizona State Univ Sch Elect Comp & Energy Engn Tempe AZ USA

ISBN: (数字)9781728186719

ISBN: (纸本)9781728186719

Traveling Salesman Problem (TSP) is a classic NP-ard problem in Combinatorial Optimization (CO), which has been widely studied. Traveling Officer Problem (TOP) derived from illegal parking in urban areas is a variant of TSP. Its solution aims to capture as many illegally parked vehicles as possible in a limited time. However, traditional methods of solving TSP cannot be applied to TOP because the illegally parked vehicle may leave before the officer arrives. Existing methods to solve TOP include heuristic search and deep learning algorithms such as ant colony optimization and feed-forward neural network. However, the performance based on capture rate and traveling distance of these algorithms is still comparably low. Hence, in this paper, we propose the heterogeneous pointer network to address this problem by modifying the encoder of the traditional pointer network to suit the spatial-temporal features of TOP. We conduct experiments using real-world datasets from Melbourne open data platform to show that our method achieves significant improvement and outperforms the existing algorithms based on capture rate and traveling distance.

关键词： Traveling Salesman Problem NP-hard Traveling Officer Problem

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Emotion-aware and Intent-controlled Empathetic Response Generation using Hierarchical Transformer network

Emotion-aware and Intent-controlled Empathetic Response Gene...

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作者： Saha, Tulika Ananiadou, Sophia Univ Manchester Natl Ctr Text Min Manchester Lancs England

ISBN: (数字)9781728186719

ISBN: (纸本)9781728186719

Enriching any dialogue systems to exhibit empathy is fundamental for delivering human-like conversations. Empathetic interactions in the form of empathetic dialogue generation has been studied widely in recent times. Existing models either incorporate emotion as a feature at the encoding side or as a latent variable explicitly at the decoder to condition their response on. While understanding speaker emotion is integral to expressing empathy, another aspect of being empathetic necessitates responding with an appropriate emotion (also known as emotional regulating intents) to speaker's mental state. To integrate these multiple aspects, in this paper, we propose a Hierarchical Transformer network (HTN), an amalgamation of the recently introduced Transformer model and Hierarchical Encoder Decoder (HRED) architecture to capture the speaker emotion and dialogic context. For generating intent controlled empathetic responses, we draw insights from Reinforcement Learning (RL) to optimize rewards implicitly. The proposed approach is demonstrated on two benchmark open-domain empathetic datasets. The empirical evaluation (both automated and manual) demonstrates the system capability by way of outperforming several baselines and the state of the art models.

关键词： Empathy Generation Emotion Intent Transformer

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