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Feasibility Analysis Study on Constructing a Grid Intrusion Detection System Using Semi-supervised Learning Models 2nd

Feasibility Analysis Study on Constructing a Grid Intrusion ...

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2nd International Conference on Security and Information Technologies with AI, Internet Computing and Big-data Applications, SITAIBA 2023

作者： Tsai, Chia-Wei Lin, Jason Yang, Chun-Wei Loo, Fu-Nie Department of Computer Science and Information Engineering National Taichung University of Science and Technology No.129 Sec.3 Sanmin Rd North District Taichung404 Taiwan Department of Computer Science and Engineering National Chung Hsing University No. 145 Xingda Rd. South District Taichung40227 Taiwan Master Program for Digital Health Innovation China Medical University No. 100 Sec. 1 Jingmao Rd. Beitun Dist. Taichung406040 Taiwan

ISBN: (纸本)9789819777853

In recent years, due to the proliferation of information and communication technology, as well as AI technology, industrial control systems, which were once in a closed network environment, have also integrated related technologies and gradually connected to external networks. Although this can enhance the efficiency of industrial production, it greatly increases the information security threats to industrial control systems. Among them, the information security issues of critical infrastructures are a key issue. If these critical infrastructures are attacked by cyber hackers, it could pose threats that jeopardize the safety of the general population. In light of this, this study focuses on the critical infrastructure of the power grid, proposing a semi-supervised intrusion detection system (IDS) technology by using the one-class classification. It analyzes data from the electricity distribution system to assess whether the system has been attacked. This research employs a power grid dataset to train the proposed model and execute the experiments. The experimental results demonstrate the feasibility of the proposed method. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Network intrusion

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Financial keyword expansion via continuous word vector representations

Financial keyword expansion via continuous word vector repre...

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2014 Conference on Empirical Methods in Natural Language Processing, EMNLP 2014

作者： Tsai, Ming-Feng Wang, Chuan-Ju Program in Digital Content and Technology Department of Computer Science and National Chengchi University Taipei116 Taiwan Department of Computer Science University of Taipei Taipei100 Taiwan

ISBN: (纸本)9781937284961

This paper proposes to apply the continuous vector representations of words for discovering keywords from a financial sentiment lexicon. In order to capture more keywords, we also incorporate syntactic information into the Continuous Bag-of- Words (CBOW) model. Experimental results on a task of financial risk prediction using the discovered keywords demonstrate that the proposed approach is good at predicting financial risk. © 2014 Association for Computational Linguistics.

关键词： Finance

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Social influencer analysis with factorization machines 15

Social influencer analysis with factorization machines

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7th ACM Web science Conference, WebSci 2015

作者： Tsai, Ming-Feng Wang, Chuan-Ju Lin, Zhe-Li Department of Computer Science and Program in Digital Content and Technology National Chengchi University Taipei116 Taiwan Department of Computer Science University of Taipei Taipei100 Taiwan

ISBN: (纸本)9781450336727

How will the reputations of individuals in a social network be influenced by their communities in a quantitative way? This work attempts to observe the collaborative events occurring at individuals involved in a social network to obtain such crucial knowledge. We propose a Factorization Machine approach to find out the latent social influence among the individuals based on their collaborations. Experiments conducted on a real-world DBLP dataset verify that the proposed approach can discover the latent social influence among individuals and provide a better predictive model than several baselines. © 2015 ACM.

关键词： Collaborative filtering

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Examining the Influence of Dependency Injection on Software Maintainability 8

Examining the Influence of Dependency Injection on Software ...

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8th IEEE/ACIS International Conference on Big Data, Cloud Computing, and Data science, BCD 2023

作者： Sun, Chun-Wei Liao, Chun-Feng National Chengchi University Department of Computer Science Taipei Taiwan National Chengchi University Department of Computer Science and Program in Digital Content and Technologies Taipei Taiwan

ISBN: (纸本)9798350373615

Dependency Injection (DI) is a widely adopted design pattern in the software industry. DI reduces the otherwise necessary coupling between a client and the concrete object providing the service. This decoupling is achieved by delegating the responsibility of object creation to an external DI module, commonly referred to as a DI Container. Nevertheless, DI can introduce certain side effects. To guide the external DI module on the wiring logic, developers must either detail these logics in configuration files or use language constructs specific to the DI implementation in use. In large-scale projects, managing these wiring logics can pose a significant challenge to software maintainability. Currently, the Spring Framework stands as one of the most prominent DI implementations. It provides three methods for describing the wiring logic: XML, Annotation, and Java Class. This paper delves into the effects of these three methods on software maintainability, their influence on software design, and the optimal circumstances for each method's use in managing wiring logic. Our study examines the issues aforementioned using the well-known web application benchmark, JPetStore. We adapt the benchmark application's source code through different wiring logic implementations and evaluate the resultant effects on software coupling metrics. Finally, we explore the implications of these modifications on software coupling and maintainability. © 2023 IEEE.

关键词： Maintainability

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Resource-Oriented Architecture for Smart Home Operations Management Platforms

Resource-Oriented Architecture for Smart Home Operations Man...

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2018 International Conference on Platform technology and Service, PlatCon 2018

作者： Liao, Chun-Feng Chen, Ying-Ru Department of Computer Science National Chengchi University Taipei Taiwan Program in Digital Content and Technologies National Chengchi University Taipei Taiwan

ISBN: (纸本)9781538647103

Until recently, Smart Home technologies are still not widely deployed in most peoples living spaces. The main reason is that operations management mechanisms for Smart Home such as remote deployment, monitoring, and maintenance are not well-studied and only a few attempts have so far been made toward this aspect. CWMP, proposed by Broadband Forum, is a promising standard for realizing a Smart Home operations management platform. Previously, we have investigated real-world operations management issues of Smart Home services, namely, newly installed, module purchasing and download, service start, service update, service diagnosis, failure recovery, usage statistics, and billing. After examining CWMP in detail, several issues of CWMP, namely, poor performance and scalability, poor domain model design and inappropriate web callback architecture, have been identified. The objective of this paper is, therefore, to deal with the issues mentioned above by suggesting a set of RESTful ways to refactor the CWMP-based operations management platform. The overall approach is based on the RESTful architectural style. The proposed architecture has been realized as an operations management platform prototype. Validations and experiments are performed to verify the effectiveness of the proposed architecture. © 2018 IEEE.

关键词： Architecture

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Supporting Transparent Distributed Transactions among Containerized RESTful Microservices 10

Supporting Transparent Distributed Transactions among Contai...

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10th International Conference on Platform technology and Service, PlatCon 2024

作者： Huang, Wei-Lun Liao, Chun-Feng Department of Computer Science National Chengchi University Taipei Taiwan Program in Digital Content and Technologies National Chengchi University Taipei Taiwan

ISBN: (纸本)9798350367874

In modern software systems, supporting transactions across multiple services presents a significant challenge. Among the various interaction approaches, the RESTful architectural style stands out as a popular choice. With the rise of microservice architecture and the growing popularity of hosting microservices in containers, the need for efficient and scalable transaction management mechanisms for containerized RESTful services has become increasingly important. This paper introduces a novel approach that transparently enhances existing non-transactional containerized RESTful services with transaction capabilities. The main idea is to implement transaction handling logic in a sidecar container, which can be attached to service containers as needed. Unlike other distributed transaction mechanisms for RESTful services, this approach eliminates the need to modify both the service logic and the communication protocol (HTTP). This research demonstrates the feasibility of the proposed method through case studies and experiments. Overall, this approach offers a seamless and efficient solution for integrating transaction management into containerized microservices. © 2024 IEEE.

关键词： HTTP

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Risk ranking from financial reports

Risk ranking from financial reports

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35th European Conference on Information Retrieval, ECIR 2013

作者： Tsai, Ming-Feng Wang, Chuan-Ju Department of Computer Science Program in Digital Content and Technologies National Chengchi University Taipei 116 Taiwan Department of Computer Science Taipei Municipal University of Education Taipei 100 Taiwan

ISBN: (纸本)9783642369728

This paper attempts to use soft information in finance to rank the risk levels of a set of companies. Specifically, we deal with a ranking problem with a collection of financial reports, in which each report is associated with a company. By using text information in the reports, which is so-called the soft information, we apply learning-to-rank techniques to rank a set of companies to keep them in line with their relative risk levels. In our experiments, a collection of financial reports, which are annually published by publicly-traded companies, is employed to evaluate our ranking approach;moreover, a regression-based approach is also carried out for comparison. The experimental results show that our ranking approach not only significantly outperforms the regression-based one, but identifies some interesting relations between financial terms. © 2013 Springer-Verlag.

关键词： Information use

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Tactics for Enhancing Write Ahead Log for Long-Term System Maintenance 10

Tactics for Enhancing Write Ahead Log for Long-Term System M...

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10th International Conference on Platform technology and Service, PlatCon 2024

作者： Ho, Evan Chiu, Yi-Hsiu Liao, Chun-Feng Department of Computer Science National Chengchi University Taipei Taiwan Program in Digital Content and Technologies National Chengchi University Taipei Taiwan

ISBN: (纸本)9798350367874

With the rapid advancement of IT technology, data resilience has become crucial for driving the digital transformation of modern enterprises. In this technological trend, Write Ahead Log (WAL) has emerged as a fundamental technique for ensuring data resilience, highlighting its growing importance. However, most WAL literature does not address design issues in long-term maintenance. This study explores three design issues related to long-term WAL maintenance: acquiring the latest index, log segmentation and reassembly, and index reset after consolidation. The proposed designs are implemented as a proof-of-concept prototype. Subsequently, a series of experiments are conducted to examine the impact of these designs on performance, CPU/memory resource consumption, and index optimization. We hope that the proposed techniques will contribute to practical WAL design. © 2024 IEEE.

关键词： Database DevOps Write Ahead Log

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FirmataSpy: A Firmata Emulator to Streamline Interoperable Automated Testing for IoT Devices 9

FirmataSpy: A Firmata Emulator to Streamline Interoperable A...

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9th International Conference on Platform technology and Service, PlatCon 2023

作者： Lan, Tzu-Chi Liao, Chun-Feng National Chengchi University Program in Digital Content and Technologies Taipei Taiwan National Chengchi University Department of Computer Science Taipei Taiwan

ISBN: (纸本)9798350305999

The swift progress of Internet of Things (IoT) technology has unveiled vast opportunities for interfacing and monitoring physical devices. Developers frequently encounter obstacles when conducting human-in-the-loop testing and connecting hardware devices for assessing IoT applications. This inconvenience hinders the development process and demands substantial time commitment for software quality maintenance, thereby diverting attention from core programming tasks. This research endeavors to design and implement an emulator named FirmataSpy based on Firmata, a widely-used serial-port communication protocol, for bridging application software and IoT devices. Serving as a Test Double for IoT devices, FirmataSpy facilitates developers in testing and validating IoT devices seamlessly. What sets FirmataSpy apart from other Test Double approaches is its language independence. It emulates the hardware and interacts with software at the protocol level, thereby broadening its adaptability. © 2023 IEEE.

关键词： Application programs

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Near real-time characterisation of urban environments: a holistic approach for monitoring dengue fever risk areas

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International Journal of digital Earth 2014年第11期7卷 916-934页

作者： Muhammad Shahzad Sarfraz Nitin Kumar Tripathi Asanobu Kitamoto Department of Computer Science COMSATS Institute of Information Technology(CIIT)AbbottabadPakistan Remote Sensing and GIS Asian Institute of Technology(AIT)BangkokThailand Digital Content and Media Sciences Research Division National Institute of Informatics(NII)TokyoJapan

Despite frequent use of digital devices in everyday life,cost-effective measurement of public health issues in urban areas is still *** study was,therefore,planned to extract land-use types using object-based and spatial metric approaches to explore the dengue incidence in relation to the surrounding environment in near real-time using Google and Advanced Land Observation Satellite *** characterised image showed useful classification of an urban areawith 77%accuracy and 0.68 *** analysis on public health data indicated that most of the dengue cases were found in densely populated areas surrounded by dense *** living in independent houses having sparsely vegetated surroundings were found to be less *** incidence was more prevalent in people of 5-24 years of age(67%);while in terms of occupation,mostly students,the unemployed,labourers and farmers(88%)were *** general,males were affected slightly more(10%)than *** analyses indicated that most of the dengue cases were around institutions(40%),religious places(18%)and markets(15%).Thus,usage of digital Earth scalable tools for monitoring health issues would open new ways for maintaining a healthy and sustainable society in the years ahead.

关键词： dengue fever land-use land-cover monitoring dengue risk urban environment object-based classification

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