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检索条件"任意字段=19th International Conference on Software Engineering and Knowledge Engineering"

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thermal Optimization Design of a Intelligent Programmable Controller Based on CFD software 19

Thermal Optimization Design of a Intelligent Programmable Co...

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19th international conference on Future Networks and Communications, FNC 2024 / 21st international conference on Mobile Systems and Pervasive Computing, MobiSPC 2024 / 14th international conference on Sustainable Energy Information Technology, SEIT 2024

作者： Yang, Zhangbin Wang, Haoran Liao, Xiang Chen, Feiyu Cai, Hang Luo, Quan China Three Gorges Construction Engineering Corporation Chengdu610095 China Three Gorges Intelligent Industrial Control Technology Co. Ltd Wuhan430070 China

With the increasing functionality of intelligent programmable controllers and the continuous improvement in power and component density, the problem of rapidly rising temperatures during operation has become increasingly prominent, directly affecting the controller's lifespan and stability[1]. therefore, improving the heat dissipation efficiency of intelligent programmable controller modules has become a key focus of research. this paper introduces a method of installing aluminum alloy heat sinks on the core chip of the controller and carefully designing the fin shape and size of the heat sink to enhance heat conduction and heat convection effects, improving heat dissipation performance. this paper also constructs a thermal equivalent model of the controller and simulates the impact of different fin parameters on heat dissipation performance. Experimental results show that when the fin height is 5 millimeters, thickness is 2 millimeters, and spacing is 4 millimeters, the heat sink exhibits the highest thermal conductivity and the lowest thermal resistance, achieving optimal heat dissipation effectiveness. © 2024 the Authors. Published by Elsevier B.V.

关键词： Fins (heat exchange)

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Teenagers: A Social Media threat Vector

Teenagers: A Social Media Threat Vector

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19th international conference on Cyber Warfare and Security

作者： Collier, Henry Morton, Charlotte Norwich Univ Northfield VT 05663 USA Univ Chester Chester Cheshire England

ISBN: (纸本)9781914587962;9781914587979

Social media has grown significantly since the early days. During this time, social media has grown to be a mainstay in most teenagers' lives. Whether they are on Facebook, Snapchat, X (formerly Twitter), or TikTok, teenagers have fully integrated social media into their lives. Teens tend to post the ins and outs of their lives, sharing sensitive information about themselves to people they know, but also to strangers. Although social media can be used for good, it can also be used by nefarious threat actors to take advantage of teenagers. Social engineers count on their subject's desire to increase the number of virtual connections, which may increase the endorphin response received when they get "likes". As such, social engineers create targeting accounts and then try to get as many people to accept them as possible. this increased footprint levitates the chances of a successful social engineering attack. Add to this, when someone shares an abundance of information about themselves, social engineers use this information to target individuals with spear phishing attacks. To further exacerbate the situation, social media uses algorithms to target its users and feed them with a significant amount of information that is not always vetted as being truthful. When someone is influenced by disinformation, it increases their susceptibility by taking away their desire to verify the truth, but rather accept that what they are being told is the truth. this case study examines the dynamics associated with teenagers and their susceptibility to becoming a victim of cybercrime and how social media perpetuates this situation.

关键词： Social media Social engineering Teenagers Cybercrime Susceptibility

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19th EAI international conference on Security and Privacy in Communication Networks, SecureComm 2023

19th EAI International Conference on Security and Privacy in...

引用

19th EAI international conference on Security and Privacy in Communication Networks, SecureComm 2023

ISBN: (纸本)9783031649479

the proceedings contain 51 papers. the special focus in this conference is on Security and Privacy in Communication Networks. the topics include: CyberEA: An Efficient Entity Alignment Framework for Cybersecurity knowledge Graph;DNN Architecture Attacks via Network and Power Side Channels;invisibility Spell: Adversarial Patch Attack Against Object Detectors;Meta Perturbation Generation Network for Text-Based CAPTCHA;model Inversion Attacks on Homogeneous and Heterogeneous Graph Neural Networks;unsupervised Multi-criteria Adversarial Detection in Deep Image Retrieval;VRC-GraphNet: A Graph Neural Network-Based Reasoning Framework for Attacking Visual Reasoning Captchas;an Adaptive Authentication Protocol for Internet of Vehicles Based on Vehicle Density;Discovering and Understanding the Security Flaws of Authentication and Authorization in IoT Cloud APIs for Smart Home;optimizing Lightweight Intermittent Message Authentication for Programmable Logic Controller;byzantine Protocols with Asymptotically Optimal Communication Complexity;demystifying Blockchain Scalability: Sibling Chains with Minimal Interleaving;VDABSys: A Novel Security-Testing Framework for Blockchain Systems Based on Vulnerability detection;anonymous Key Issuing Protocol with Certified Identities in Identity-Based Encryption;Batch Lattice-Based Designated-Verifier ZK-SNARKs for R1CS;certificateless Aggregate Signature Without Trapdoor for Cloud Storage;efficient Zero knowledge for Regular Language;enabling Fast Settlement in Atomic Cross-Chain Swaps;HeSUN: Homomorphic Encryption for Secure Unbounded Neural Network Inference;Optimization of Functional Bootstraps with Large LUT and Packing Key Switching;an Authentication Algorithm for Sets of Spatial Data Objects;An Efficient Private Information Retrieval Protocol Based on TFHE;mShield: Protecting In-process Sensitive Data Against Vulnerable third-Party Libraries;password Cracking by Exploiting User Group Information.

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Same App, Different Behaviors: Uncovering Device-specific Behaviors in Android Apps 24

Same App, Different Behaviors: Uncovering Device-specific Be...

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39th ACM/IEEE international conference on Automated software engineering (ASE)

作者： Dong, Zikan Zhao, Yanjie Liu, Tianming Wang, Chao Xu, Guosheng Xu, Guoai Zhang, Lin Wang, Haoyu Beijing Univ Posts & Telecommun Beijing Peoples R China Huazhong Univ Sci & Technol Wuhan Peoples R China Monash Univ Melbourne Vic Australia Harbin Inst Technol Shenzhen Peoples R China Coordinat Ctr China CNCERT CC Natl Comp Emergency Response Team Beijing Peoples R China

ISBN: (数字)9798400712487

ISBN: (纸本)9798400712487

the Android ecosystem is significantly challenged by fragmentation, arising from diverse system versions, device specifications, and manufacturer customizations. the growing divergence among devices leads to marked variations in how a given app behaves across diverse devices. this is referred to as device-specific behaviors. Fragmentation not only complicates development processes but also impacts the overall industry by increasing maintenance costs and potentially harming user experience due to inconsistent app performance. In this work, we present the first large-scale empirical study of device-specific behaviors in real-world Android apps. We have designed a three-phase static analysis framework to accurately detect and understand the device-specific behaviors. Upon employing our tool on a dataset comprising more than 20,000 apps, we detected device-specific behaviors in 2,357 of them. By examining the distribution of device-specific behaviors, our analysis revealed that apps within the Chinese third-party app market exhibit more such behaviors compared to their counterparts in Google Play. Additionally, these behaviors are more likely to feature dominant brands that hold larger market shares. Reflecting this, we have classified these device-specific behaviors into 29 categories based on the functionalities implemented, providing a structured insight that is crucial for developers and stakeholders in the industry. Beyond the common behaviors, such as issue fixes and feature adaptations, we have observed 33 aggressive apps, including popular ones with millions of downloads. these apps abuse system properties of customized ROMs to obtain user-unresettable identifiers without requiring any permissions, posing significant privacy risks. Finally, we investigated the origins of device-specific behaviors, highlighting the significant challenges developers encounter in implementing them comprehensively. Our research aims to inform and equip industry practitioners with kn

关键词： Industries Performance evaluation Privacy Ecosystems Static analysis User experience software reliability Stakeholders Security software engineering

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Vulnerability Detection Based on Pre-trained Code Language Model and Convolutional Neural Network 36

Vulnerability Detection Based on Pre-trained Code Language M...

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36th international conference on software engineering and knowledge engineering, SEKE 2024

作者： Liao, Tingfeng Lu, Lu Liang, Zhihong Suo, Siliang School of Computer Science and Engineering South China University of Technology Guangzhou China Pazhou Laboratory Guangzhou China Pengcheng Laboratory Shenzhen China Electric Power Research Institute CSG Guangzhou China Guangdong Provincial Key Laboratory of Power System Network Security Guangzhou China

ISBN: (纸本)1891706594

software vulnerabilities damage the reliability of software systems. Recently, many methods based on deep learning have been proposed for vulnerability detection by learning features from code sequences or various property graphs. However, sequence-based methods frequently fail to consider the structural information of the code, whereas graph-based methods often encounter difficulties in capturing long-distance contextual semantic information. To overcome these limitations, we propose PTCN, a novel vulnerability detection method that integrates Pre-Trained code language model and Convolutional Neural Network (CNN). First, the code tokens sequence and the propagation chains are constructed from the source code in preparation for the subsequent feature extraction. Next, GraphCodeBERT, a graph-based pre-trained code language model, is introduced as a means of learning both the semantic and structural information contained in the code tokens sequence and the propagation chains. then, a CNN architecture is designed to effectively extract the crucial vulnerability features from the hidden states of the last Transformer layer of GraphCodeBERT for vulnerability detection. the experiments on the public benchmark dataset REVEAL indicate that PTCN outperforms the state-of-the-art methods with respect to the Accuracy and F1-score metrics by 3.41%-15.80% and 22.68%-104.27%, respectively. © 2024 knowledge Systems Institute Graduate School. All rights reserved.

关键词： Convolutional neural networks

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the Role of Team Composition in Agile software Development Education: A Gendered Perspective 25th

The Role of Team Composition in Agile Software Development E...

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25th international conference on Agile software Development (XP)

作者： Saeter, Gyda Elisa Stray, Viktoria Almas, Steffen Lindsjorn, Yngve Univ Oslo N-0373 Oslo Norway

ISBN: (纸本)9783031611537;9783031611544

Team composition is a critical factor influencing collaboration within agile software development. this study investigates the impact of gender distribution on teamwork quality in software engineering capstone courses. We examined the experiences of 240 students organized into 40 teams during an agile project course. We analyzed two surveys, one conducted before team composition and one at the end of the project work. As much as 91% of the students chose to use the practice of conducting stand-up meetings in their project work and the majority were satisfied with the practice. Further, our analysis reveals that while women tend to engage more in design and men in programming, an increase in the proportion of women within a team correlates with a higher involvement of women in programming tasks. Our findings highlight gender differences in perceptions and experiences related to project involvement in agile software engineering courses.

关键词： Collaboration Teamwork quality knowledge sharing Human and social aspects of agile software development Gender diversity Team assembly strategies Empirical study on gender effects Teaching experiences Empirical studies with students

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New technologies in the educational process on the example of FlexSim® software - the digital twin solution 28th

New technologies in the educational process on the example o...

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28th international conference on knowledge Based and Intelligent information and engineering Systems, KES 2024

作者： Ubowska, Agnieszka Królikowski, Tomasz Faculty of Maritime Technology and Transport West Pomeranian University of Technology in Szczecin Szczecin71-065 Poland Faculty of Mechanical Engineering Koszalin University of Technology Koszalin75- 453 Poland

Access to new technologies in the educational process and developing digital competences enabling critical and responsible use of digital technologies, including future professional work is a challenge for universities around the world. the aim of the article is to indicate the possibilities of using FlexSim® software in the educational process at technical universities. the ability of engineering staff to use simulation methods that reproduce real systems can significantly improve the logistics of processes implemented by enterprises, and thus increase the competitiveness of future graduates on the labor market. the article presents the possibilities of solving selected engineering problems using FlexSim® software and the results of a survey on the usefulness of the software conducted among students. © 2024 the Authors.

关键词： Educational technology

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Experiences With Gap-Bridging software engineering Industry-Academia Collaborative Education Program 35

Experiences With Gap-Bridging Software Engineering Industry-...

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35th IEEE international conference on software engineering Education and Training, CSEE and T 2023

作者： Sabariah, Mira Kania Effendy, Veronikha Husen, Jati H. Fadhlurrohman, Daffa Hilmy Setyawansyah, Rony Telkom University Bachelor of Software Engineering Bandung Indonesia PT. Telkom Indonesia Bandung Indonesia

ISBN: (纸本)9798350322026

University-level software engineering education faces the challenge of providing both fundamental concepts while delivering to their students the latest trend in tools and practices. However, software engineering programs may not be capable of solving those challenges with their own resources. In this paper, we present our experience in solving those challenges by cooperating with an industrial partner by developing a collaboration program to provide knowledge of the latest industrial software engineering practice. We discovered that the program has several other benefits besides providing knowledge of industrial software engineering practice. However, challenges and concerns still need to be solved and addressed to ensure the proper execution of the collaboration program. © 2023 IEEE.

关键词： software engineering

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Building Up Green software Life Cycle Model 10

Building Up Green Software Life Cycle Model

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10th international conference on ICT for Sustainability

作者： Kivimaki, Lauri Partanen, Laura Porras, Jari Tarkkanen, Kimmo Tuikka, Anne-Marie Makela, Jari-Matti Makila, Tuoas Univ Turku Turku Finland LUT Univ Lahti Finland LUT Univ Lappeenranta Finland Turku Univ Appl Sci Turku Finland

ISBN: (纸本)9798331505295;9798331505288

With the increased focus and importance placed on the twin green and digital transition, also the development of digital products and software systems must take environmental sustainability into account. At present, the environmental impact of software systems has gained more and more attention from both the software development and the software procurement side. Researchers have provided many conceptual models of green software, but there is a lack of comprehensive, contemporary models to cover the overall picture, the whole life cycle of software. Aim of this study is to present the Green software Life Cycle (GSLC) model that incorporates sustainable practices and metrics. the model is formed by gathering promising practices and metrics from the existing body of knowledge and mapping them to the software life cycle phases. the theoretical model is then validated by interviewing software practitioners. the model encompasses the whole software life cycle, and should provide inspiration for not only to the software developers, but to all stakeholders who are participating the software life cycle and aim for more environmentally sustainable digital products. Although the GSLC model provides a starting point towards making the software life cycle greener, further refinement and empirical validation is necessary in the future.

关键词： software engineering green software software lifecycle green software lifecycle model green ICT

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MDASC: Advanced Dual-Layered Code Cloning Technique for Identifying Reused Malicious Code 36

MDASC: Advanced Dual-Layered Code Cloning Technique for Iden...

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36th international conference on software engineering and knowledge engineering, SEKE 2024

作者： Glani, Yasir Ping, Luo Ke, Lin School of Software Tsinghua University China

ISBN: (纸本)1891706594

Code cloning is a prevalent practice in software development, frequently exploited by adversaries to propagate malicious code, compromising user security and privacy. Recently proposed detection techniques often fail to identify complex clones, posing significant s oftware i ntegrity a nd s ecurity risks. In response, we introduce MDASC, an advanced dual-layered approach to detecting known Android malware through code cloning. MDASC employs method-based signature detection followed by sliding windows-based detection, effectively identifying modified and unmodified states of reused malware code, encompassing Type-I, Type-II, and Type-III (VST, ST, and MT) clones. Our comprehensive comparative study evaluates MDASC against recently proposed techniques across various code cloning detection methods, demonstrating its superiority in precision, recall, F1-score, accuracy, and efficiency. Leveraging intelligent retrieval and processing algorithms, MDASC maintains high efficiency, achieving an average detection time of 0.33 seconds for a database of 132,414 files and 13.5 million lines of code. this efficiency and effectiveness emphasize MDASC’s potential for real-time security applications. MDASC represents a significant a dvancement in malicious code reuse detection, offering unparalleled accuracy and efficiency, t hereby e nhancing s oftware s ecurity practices within the rapidly evolving Android ecosystem. © 2024 knowledge Systems Institute Graduate School. All rights reserved.

关键词： Android malware

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