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检索条件"任意字段=Proceedings of the 8th International Conference on Advances in Mobile Computing and Multimedia"

共 603 条记录，以下是31-40 订阅

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Enhancing Intrusion Prevention with Explainable Convolutional Neural Networks: Recent Developments and Promising Applications 8

Enhancing Intrusion Prevention with Explainable Convolutiona...

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8th international conference on Communication and Electronics Systems, ICCES 2023

作者： Chitnis, Ajay Chandre, Pankaj Pathan, Shafi DevOps Architect Hcl Technologies Uk Limited Pune India Mit Art Design & Technology University Mit School of Computing Department of Computer Science & Engineering Pune India

ISBN: (纸本)9798350396638

the proliferation of cyberattacks in recent years has led to an increased demand for effective intrusion prevention systems (IPS). Convolutional Neural Networks (CNNs) have shown promise in improving the accuracy of IPS, but their lack of interpretability hinders their wider adoption. Explainable AI (XAI) techniques have emerged to address this issue, allowing users to understand the reasoning behind a model's predictions. this survey paper provides an overview of recent developments in enhancing IPS with XAI techniques in CNNs. this study reviews state-of-the-art research on integrating interpretability into CNN models, including methods such as attention mechanisms, saliency maps, and LIME. Also, this study discusses about the promising applications of CNN-based IPS with XAI, including network traffic analysis, malware detection, and anomaly detection. Finally, we highlight some of the challenges and opportunities for future research in this area, including the need for standardized evaluation metrics and the potential for combining XAI techniques with other AI methods such as reinforcement learning. Overall, this survey paper aims to provide a comprehensive understanding of the recent advances in using CNNs with XAI for enhancing IPS, and to identify promising directions for future research in this field. © 2023 IEEE.

关键词： Convolutional neural networks

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Authentication Methods that use Haptic and Audio: A Review 8

Authentication Methods that use Haptic and Audio: A Review

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8th international Cryptology and Information Security conference 2022, CRYPTOLOGY2022

作者： Kam, Yvonne Hwei-Syn Chin, Ji-Jian Faculty of Engineering Multimedia University Selangor Malaysia Faculty of Computing & Informatics Multimedia University Selangor Malaysia

Authentication is an important step for many applications eg. banking, communications etc. Identity theft can happen because the systems that we use are vulnerable to observation attacks both by a person (shoulder surfing) and also video recordings. thus authentication methods that rely on the visual channel alone, which are displayed onscreen are more susceptible to shoulder surfing. In this paper, a review of haptic and audio authentication methods is presented where we describe and analyse various methods that utilise non-visual channels, namely haptic and audio, for authentication. We categorise the methods into the categories of recall, recognition and challenge-response. We focus on the security aspects of the methods, comparing the susceptibility of the methods to various attacks. the review indicates that most haptic and audio methods are less susceptible to observation attacks and intersection attacks. © 2022 Institute for Mathematical Research (INSPEM). All rights reserved.

关键词： Authentication

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Designing Pervasive Games Oriented Towards the Elderly: A Case Study 7th

Designing Pervasive Games Oriented Towards the Elderly: A Ca...

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7th and 8th international conference on Information and Communication Technologies for Ageing Well and e-Health, ICT4AWE 2021 and ICT4AWE 2022

作者： Lacuesta, Raquel Gallardo, Jesús Hernández, Silvia Pérez, Álvaro Department of Computing and Systems Engineering University of Zaragoza Teruel Spain Pre-departmental Unit of Fine Arts University of Zaragoza Teruel Spain

ISBN: (纸本)9783031374951

Elderly people is a segment of population that is quickly increasing during the last years. In the digital society where we live, it is not bearable that this segment of population remains out of the advances in information and communication technologies. In fact, such advances have the potential to improve aspects such as memory or physical condition. this is the case of computer games, and, specifically, of pervasive games. they are a new genre of games in which some of the traditional boundaries of computer games get exceeded. therefore, in this chapter we explain the design process of a pervasive game oriented towards the elderly and some assessment activities to validate it. the game implies the elderly moving in the real world searching some targets that have to be scanned with a mobile device with the game running. When this happens, the game unlocks a memory, which is a piece of information about a past event, a person or a place. Players store the memories unlocked in an album that can be accessed at any time. Testing of the game in a real environment has started, with some interesting feedback collected. © 2023, the Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Augmented reality

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A Study of DM-TPACK Evaluation Methods for Middle School Mathematics Teachers 24

A Study of DM-TPACK Evaluation Methods for Middle School Mat...

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8th international conference on Education and multimedia Technology, ICEMT 2024

作者： Zhang, En Chen, Ruxian Chen, Sailan Chen, Yuanhua Wang, Ying Yin, Ruiyao Institute of Computing Science and Technology Guangzhou University Guangzhou China Institute of Mathematics and Information Science Guangzhou University Guangzhou China Software Engineering Institute of Guangzhou Guangzhou China

ISBN: (纸本)9798400717611

the theoretical framework of Technological Pedagogical Content Knowledge (TPACK) provides a foundation for the integration of information technology and disciplines. Dynamic mathematical software, as the most widely used mathematics discipline software by mathematics teachers, can effectively improve classroom efficiency and improve students' mathematical thinking. this is exemplified by China's first leading dynamic mathematics discipline teaching tool in the mobile Internet environment: NetPad. In light of the ongoing evolution of information technology, junior high school mathematics teachers must consistently enhance their capacity to leverage dynamic mathematics technology for instructional purposes, in order to align with the evolving demands of teacher development in the contemporary era. therefore, this paper analyzes the research status of TPACK measurement methods, based on the relevant theoretical studies of TPACK, takes the research of core component TPACK as the entry point, integrates the dynamic mathematical technology, divides the dimensions of junior high school mathematics teachers' Dynamic Mathematics Technological Pedagogical Content Knowledge (DM-TPACK) level, refers to the junior high school mathematics teachers' TPACK scale by Yuanmei Duan, constructs a DM-TPACK evaluation scale and uses think Aloud Method and Delphi Method to revise and improve, forming the final DM-TPACK questionnaire for junior high school mathematics teachers. Finally, the questionnaire was subjected to a reliability test, and the results showed that the evaluation instrument had good internal consistency and reliability. this study provides a basis for measuring the TPACK level of junior high school mathematics teachers' integration of dynamic mathematical techniques, and provides a reference for the development of a TPACK assessment tool for teachers. © 2024 Copyright held by the owner/author(s).

关键词： Teaching

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Dynamic Behavior Pattern: Mining the Fraudsters in Telecom Network 24

Dynamic Behavior Pattern: Mining the Fraudsters in Telecom N...

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24th IEEE international conference on High Performance computing and Communications, 8th IEEE international conference on Data Science and Systems, 20th IEEE international conference on Smart City and 8th IEEE international conference on Dependability in Sensor, Cloud and Big Data Systems and Application, HPCC/DSS/SmartCity/DependSys 2022

作者： Li, Dengshi Zeng, Lu Hu, Ruimin Huang, Zijun Liang, Xiaocong Zang, Yilong School of Artificial Intelligence Jianghan University Wuhan China National Engineering Research Center for Multimedia Software School of Computer Science Wuhan University Wuhan China

ISBN: (纸本)9798350319934

In telecom network fraud, the fraud method of the fraudsters varies significantly in different periods. However, the traditional method of telecom fraud is to train the telecom fraud mining model through the user's long-term telephone data. So they can not detect the new fraud method of fraudsters and can not identify those with only have short-term telephone data. To increase the identification precision of telecom fraudsters, the dynamic changes in social structure and behavior pattern features of fraudsters were studied in this paper. Specifically, from the perspective of social structure change, the social structure of fraudsters changes rapidly over time. In contrast, the social structure of normal users is stable over time. From the perspective of user behavior pattern features, we found that the behavior patterns of fraudsters and normal users were very different. the behavior pattern of fraudsters in the different periods also changes significantly. therefore, a telecom network fraud detection framework based on the social relationship evo-lution model was proposed. We designed the feature extraction method of dynamic telephone social behavior patterns based on time slices. the method combines the features of social structure and behavior patterns of users. And the Telephone Network Fraud Detection(TNFD) model is built using LSTM. We set up a sliding time window to enable the model to identify users with only short-term telephone data. this time window dynamically takes the features of the user's telephone social behavior pattern as the input of the TNFD model. Experiments on real dataset show that the precision of TNFD is 7% higher than that of the latest method. Our research may reference public security organs in telecom fraud cases. © 2022 IEEE.

关键词： Crime

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Host Bypassing: Let your GPU speak Ethernet 8

Host Bypassing: Let your GPU speak Ethernet

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8th IEEE international conference on Network Softwarization (NetSoft) - Network Softwarization Coming of Age - New Challenges and Opportunities

作者： Kundel, Ralf Anderweit, Leonard Markussen, Jonas Griwodz, Carsten Abboud, Osama Becker, Benjamin Meuser, Tobias Tech Univ Darmstadt Multimedia Commun Lab Darmstadt Germany Univ Oslo Dept Informat Oslo Norway Dolphin Interconnect Solut AS Oslo Norway Huawei Technol Munich Germany

ISBN: (纸本)9781665406949

Hardware acceleration of network functions is essential to meet the challenging Quality of Service requirements in nowadays computer networks. Graphical Processing Units (GPU) are a widely deployed technology that can also be used for computing tasks, including acceleration of network functions. In this work, we demonstrate how commodity GPUs, which do not provide any network interfaces, can be used to accelerate network functions. Our approach leverages PCIe peer-to-peer capabilities and allows the GPU to control the network interface card directly, without any assistance from the operating system or control application. the presented evaluation results demonstrate the feasibility of our approach and its performance of up to 10 Gbit/s, even for small packets.

关键词： PCIe GPU NFV Offloading Bypassing DPDK

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Redesign of a conference from In-Person to Online. Case Study: ICCCC 8th

Redesign of a Conference from In-Person to Online. Case Stud...

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8th international conference on Computers Communications and Control (ICCCC)

作者： Dzitac, Ioan Dzitac, Simona Filip, Florin Gheorghe Manolescu, Misu-Jan Agora Univ Oradea Piata Tineretului 8 Oradea 410526 Romania Univ Oradea Univ 1 Oradea Romania Romanian Acad 125 Calea Victoriei Bucharest Romania

ISBN: (纸本)9783030536510

"Intelligent Methods for computing, Communications and Control" volume, published by Springer in "advances in Intelligent Systems and computing" Series, is in fact the proceedings of the 8th international conference on Computers Communications and Control (ICCCC) 2020. the ICCCC has been founded in 2006 by Ioan Dzitac, Florin Gheorghe Filip and Misu-Jan Manolescu, and was organized every even year by Agora University of Oradea, under the aegis of the Information Science and Technology Section of Romanian Academy. the first seven editions were organized face to face (in-person, traditional). Due to the COVID-19 pandemic, the 8th edition, ICCCC2020, which was designed initial to be in-person, we had redesign it as an online event (remotely). In this article we will present our study and conclusions regarding a parallel between the two types of conferences, traditional vs. online, each with advantages and disadvantages.

关键词： conference organization ICCCC In-person COVID-19 Online Remote Accessibility Costs Comfort Socialization Zoom Pro

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Knowledge and Perceived Security as Driven the Continuance Use of mobile Fintech Payments 8

Knowledge and Perceived Security as Driven The Continuance U...

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8th international conference on Information Management and Technology, ICIMTech 2023

作者： Ikhsan, Ridho Bramulya Fernando, Yudi Fernando, Erick Gui, Anderes Fakhrorazi, Ahmad Wahyuni-Td, Ika Sari Binus Online Learning Bina Nusantara University Management Department Jakarta11480 Indonesia Universitas Multimedia Nusantara Faculty of Engineering and Informatics Department of Information System Tangerang Indonesia School of Information Systems Bina Nusantara University Information Systems Department Jakarta11480 Indonesia Ghazali Shafie Graduate School of Government Universiti Utara Malaysia Kedah Malaysia Universitas Andalas Faculty of Economics Accounting Department Padang Indonesia

ISBN: (纸本)9798350326093

the issue of security in the use of payment-based technology is considered essential to continue to be studied because of the impact of advances in technology and information. One of the payment methods that is developing in Indonesia is m-fintech. therefore, this study analyzes the aspects driving the continuance intention of m-fintech payments, namely knowledge, perceived security, and perceived usefulness. this study uses a questionnaire as the primary data to test the hypothesis. Questionnaires were distributed online to 357 consumers using m-fintech payments in Jabodetabek. therefore, the sampling technique used is purposive. Partial Least Square-Structural Equation Modeling (PLS-SEM) with SmartPLS 4.0.8.9 software is used to answer the hypothesis. the results of this study prove that knowledge, perceived security, and perceived usefulness are good predictors in explaining the continuance intention of m-fintech payments. In detail, knowledge influenced perceived security, and perceived usefulness influenced the continuance intention of m-fintech payments. Finally, perceived security and usefulness affect the continuance intention of m-fintech payments. these findings contribute to m-fintech payment companies continuing to improve the security of m-fintech payments in line with improvements in technology and information. © 2023 IEEE.

关键词： higher-order constructs knowledge M-Fintech payment perceived security perceived usefulness

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A Relational Triple Extraction Method Based on Feature Reasoning for Technological Patents 8

A Relational Triple Extraction Method Based on Feature Reaso...

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8th IEEE international conference on Cloud computing and Intelligence Systems, CCIS 2022

作者： Fang, Runze Du, Junping Shao, Yingxia Guan, Zeli Beijing University of Posts and Telecommunications School of Computer Science Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia Beijing100876 China

ISBN: (纸本)9781665477352

the relation triples extraction method based on table filling can address the issues of relation overlap and bias propagation. However, most of them only establish separate table features for each relationship, which ignores the implicit relationship between different entity pairs and different relationship features. therefore, a feature reasoning relational triple extraction method based on table filling for technological patents is proposed to explore the integration of entity recognition and entity relationship, and to extract entity relationship triples from multi-source scientific and technological patents data. Compared with the previous methods, the method we proposed for relational triple extraction has the following advantages: 1) the table filling method that saves more running space enhances the speed and efficiency of the model. 2) Based on the features of existing token pairs and table relations, reasoning the implicit relationship features, and improve the accuracy of triple extraction. On three benchmark datasets, we evaluated the model we suggested. the result suggest that our model is advanced and effective, and it performed well on most of these datasets. © 2022 IEEE.

关键词： Extraction

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Cross-modal Search Method of Technology Video based on Adversarial Learning and Feature Fusion 8

Cross-modal Search Method of Technology Video based on Adver...

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8th IEEE international conference on Cloud computing and Intelligence Systems, CCIS 2022

作者： Liu, Xiangbin Du, Junping Liang, Meiyu Li, Ang Beijing University of Posts and Telecommunications Beijing Key Laboratory of Intelligent Communication Software and Multimedia School of Computer Science National Pilot Software Engineering School Beijing100876 China

ISBN: (纸本)9781665477352

Technology videos contain rich multi-modal information. In cross-modal information search, the data features of different modalities cannot be compared directly, so the semantic gap between different modalities is a key problem that needs to be solved. To address the above problems, this paper proposes a novel Feature Fusion based Adversarial Cross-modal Retrieval method (FFACR) to achieve text-to-video matching, ranking and searching. the proposed method uses the framework of adversarial learning to construct a video multimodal feature fusion network and a feature mapping network as generator, a modality discrimination network as discriminator. Generator and discriminator are trained alternately based on adversarial learning, so that the data obtained by the feature mapping network is semantically consistent with the original data and the modal features are eliminated. Experimental results demonstrate that the proposed method performs better in text-to-video search on the self-built datasets of technology videos. © 2022 IEEE.

关键词： Semantics

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