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检索条件"任意字段=IEEE International Conference on Embedded and Real-Time Computing Systems and Applications"

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DLA-ABIDS:Deep Learning Approach for Anomaly Based Intrusion Detection System 20

DLA-ABIDS:Deep Learning Approach for Anomaly Based Intrusion...

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20th ACS/ieee international conference on Computer systems and applications (AICCSA)

作者： Ben Ahmed, Imen Barika Ktata, Farah Ben Kalboussi, Khalil Univ Sousse ISGS Sousse Tunisia Univ Sousse Miracl Lab ISSATSo Sousse Tunisia Univ Sfax FSEGS Miracl Lab Sfax Tunisia

ISBN: (纸本)9798350319439

Nowadays, with the proliferation of the number of IoT devices, management and security of data are becoming crucial tasks. Intrusion detection systems (IDS) monitor network traffic for any unusual activity and send out alerts when it detects anomalies. The often- used intrusion detection systems are built on a variety of machine learning algorithms that allow the automation of detection on a scale that has never been achieved before. However, due to the massive size of traffic data and the nature of zero-day attacks, it is difficult to discover potential threats exploiting security vulnerabilities, which makes the detection process complicated. As a result, traditional IDS produce a high rate of false positive alerts. The suggested approach for anomaly intrusion detection problems, including zero-day attacks, uses a combination of classification and clustering machine learning techniques, such as a hybrid CNN-LSTM architecture for binary classification for real-time packet traffic clustering. The performed Experiments utilizes the Ton IoT 2019 Data set CSV files that present the IOT Network Traffic. The results demonstrated the efficiency of the proposed approach, which provides a convenient way to evaluate risks and vulnerabilities from CSV files, enabling adoption of real time network traffic with a low number of the false positive rate.

关键词： Intrusion Detection systems Deep Learning 1D CNN LSTM Principal Component Analysis

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Implement of Edge computing for Cyber-Physical System in the Smart Grids Quasi-real time Control Context 12

Implement of Edge Computing for Cyber-Physical System in the...

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12th ieee international conference on Intelligent Data Acquisition and Advanced computing systems: Technology and applications, IDAACS 2023

作者： Dombrovskyi, Mykhailo Dombrovskyi, Zbyshek Pashchuk, Ivan West Ukrainian National University Ternopil Ukraine

ISBN: (纸本)9798350358056

An increase in the number of power consumers leads to scale up a power supply grids, and the introduction of Smart Grid (SG) for connecting components and subsystems of distributed generation, increases the complexity of the interaction configuration and, accordingly, grids control. At the same time, with peak loads cases, when there is a lack of power, the probability of big-scale fluctuations increases, which turns the energy system from deterministic to stochastic. Unpredictable manifestations of big-scale fluctuations spread in the form of a cascade of failures through the grid, which lead to the loss of reliability of the entire power grid. To simplify the controllability of complex big-scale power grids and prevent cascading failures in the supply of electric power, they are divided into a big number of microgrids. To increase observability and controllability, big-scale SGs are implementing innovative intelligent products and cyber-physical systems (CPS) that connect the virtual world with the world of things. CPSs allow to carry out instant monitoring and display of the states of power system components in large geographical areas, however, due to the concentration of control in the center, it does not ensure control efficiency in critical peak load times. Thus, it is important to increase the energy efficiency of smart grids, in particular by reducing power dispersion and increasing the flexibility, safety and reliability of energy supply. Such requirements lead to rethinking the structure of both the physical and cybernetic subsystems of the CPS, with which users and suppliers of energy resources interact. To meet these requirements, it is proposed to develop the structure of the CPS and improve computation based on the processing of 'instant data' with the use of edge computations in quasi-real time, in order to ensure an increase in the efficiency of a big-scale complex power networks control. © 2023 ieee.

关键词： big-scale power grid cyber-physical systems edge computing instant data quasi-real time control smart grid

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A Decentralized Agent-Based Model for Crisis Events Using embedded systems 22nd

A Decentralized Agent-Based Model for Crisis Events Using E...

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22nd international conference on Practical applications of Agents and Multi-Agent systems, PAAMS 2024

作者： Lazarin, Nilson Mori Alexandre, Tielle de Paiva, Magaywer Moreira Pantoja, Carlos Eduardo Viterbo, Jose Bernardini, Flavia RJ Niterói Brazil RJ Rio de Janeiro Brazil

ISBN: (纸本)9783031704147

Multi-agent systems (MAS) applied to embedded systems enable cognitive agents to act in the physical world. However, the application of these systems has been little explored to automate communication during crisis events. With this approach, it would be possible to help collect real-time data and deploy rescue forces in risky locations. This paper describes a decentralized, proactive, and agent-based communication model. To validate the proposal, we applied our approach to a physical prototype of smart city devices. In this scenario, we include the interaction of different MAS in a simulation’s flood scenario. The results show the architecture’s effectiveness in collecting real-time data, providing a reliable, low-cost way to integrate citizens and governments during crises. The architecture is a promising approach for crisis management applications that takes advantage of the autonomous behavior of agents in MAS, improving the obtaining of subsidies to feed systems in smart cities and assisting decision-making. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Multi agent systems

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Filtering Alerts on Cloud Monitoring systems 14

Filtering Alerts on Cloud Monitoring Systems

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ieee 14th international conference on Joint Cloud computing (JCC)

作者： Voutsas, Fotios Violos, John Leivadeas, Aris Netdata Inc San Francisco CA USA Ecole Technol Super Dept Software & IT Engn Montreal PQ Canada

ISBN: (纸本)9798350328554

Recent advances in cloud computing and data centers have increased the demands for monitoring the network infrastructure and the applications that it hosts. The monitoring processes let network administrators to be aware of the status of the physical and logical units that compose their system. Since the goal of next generation networks is to minimise the administrators' intervention, the alerting systems should minimize the frequency of notifications, emphasizing on critical scenarios such as when a monitoring metric surpasses a threshold or an anomalous behaviour is detected. However, current monitoring tools flood network administrators with hundreds of notifications every day. In this paper, we propose a binary classification approach, in order to decide if the administrators should be notified through monitoring alerts or not. To do so, our framework is build upon real monitoring logs and alerts, that show how the administrators reacted when receiving an alert. Extensive simulation results assess the performance of various classification approaches and reveal that random forests are great candidates for the binary classification alerting system that we propose, in terms of classification efficiency and computational overhead.

关键词： Cloud computing Monitoring systems Alert System Classification Random Forests

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Evaluating the Performance of Formal Methods in embedded Computer Architecture to Minimize Power Consumption 15

Evaluating the Performance of Formal Methods in Embedded Com...

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15th international conference on computing Communication and Networking Technologies, ICCCNT 2024

作者： Mathur, Sanjiv Choudhary, Binod Kumar Kumar, Deepak School of Mangement - Pg Department of Management Karnataka Bangalore India Arka Jain University Department of Electrical & Electronics Engineering Jharkhand Jamshedpur India Vivekananda Global University Department of Mathematics Jaipur India

ISBN: (纸本)9798350370249

This technical abstract presents a top-level view of the utility of formal methods in embedded PC structures for the functions of minimizing energy intake. Formal methods are a longtime set of strategies for system layout which attention to rigorous mathematical reasoning concerning systems, behaviors with the purpose of certain correctness and reliability. Strength consumption is an important thing in embedded systems because it impacts the machine's operational lifetime and fee. In this paper, the authors introduce a formal technique for modeling, verifying, and optimizing embedded laptop architecture with the recognition of electricity efficiency. The proposed approach combines formal evaluation strategies with system-level strength optimization methods. It's miles carried out using formal verification and power modeling frameworks. An example utility of the supplied framework is provided to demonstrate how the approach can enhance energy efficiency and performance by the usage of formal analysis for strength change-off selections. The authors also compare the overall performance of the proposed formal method with the usage of a case study. The results display that the proposed method can reduce electricity intake by up to forty-three. 10%, and four. Eighty % for common-case and worst-case execution time, respectively. The proposed approach, for this reason, offers a useful device for embedded system designers and may be carried out for a variety of energy optimization troubles, resulting in improved system overall performance at the same time as decreasing power consumption. © 2024 ieee.

关键词： embedded systems

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Online Model-based Gait Age and Gender Estimation

Online Model-based Gait Age and Gender Estimation

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ieee international Joint conference on Biometrics (IJCB)

作者： Shehata, Allam Alsherfawi, Ammar Gaher, Levin Li, Xiang Makihara, Yasushi Yagi, Yasushi Osaka Univ Osaka Japan Elect Res Inst Cairo Egypt

ISBN: (纸本)9798350337266

This paper presents an online human model-based framework for gait-based age and gender estimation from a sequence of monocular frames. More specifically, we fine-tune a human mesh recovery model (i.e., HMR) to estimate the shape and pose parameters of a predefined 3D human model (i.e., SMPL). We then utilize the estimated parameters to predict the age and gender of the walking subject. To make the age and gender estimation task more favorable for real-time applications, we consider estimating the corresponding probability distributions of age and gender, which preserve the prediction uncertainty. Experiments on the world's largest multi-view gait age and gender estimation dataset showed the superiority of the proposed method compared to the existing appearance-based baseline. We implement online standalone and client-server systems based on the proposed framework to demonstrate the performance of real-time estimation. We further propose a geometric correction step to the input gait sequence for a more generalization capability of the online system.

关键词： Online systems

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Verification of the Possibility of Using a Smartphone with Matlab Mobile in Transport Monitoring applications 12

Verification of the Possibility of Using a Smartphone with M...

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12th ieee international conference on Intelligent Data Acquisition and Advanced computing systems: Technology and applications, IDAACS 2023

作者： Scislo, Lukasz Andruszkiewicz, Paula Cracow University of Technology Faculty of Electrical and Computer Engineering Cracow31-155 Poland

ISBN: (纸本)9798350358056

This paper presents a system for continuous vibration recording using sensors in a smartphone and the MATLAB Mobile application. The study aims to compare two different ways of measurement: using a mobile phone for this task and a specialized shock recorder typically used for sensitive transport monitoring. The obtained analyses will allow to determine the usefulness of the mobile devices or their application for wider use in transport monitoring applications without the need for investments in expensive sensing and acquisitions equipment as well as specialized software. By using a wireless device with communication to the cloud (Matlab cloud), the mobile phone becomes an IoT devise capable of measuring and sending the data for analysis in real-time to the companies headquarters as well as to the driver to inform him of the transport condition and eventual need for changing the speed of the car. © 2023 ieee.

关键词： Continuous recording Data acquisition Data analysis and visualization MATLAB MATLAB Mobile Sensors ShockLog recorder Smartphone sensors transport monitoring systems

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Model-Based Testing of IoT Mobile Controller Smart Light systems Using Extended Finite State Machine 12

Model-Based Testing of IoT Mobile Controller Smart Light Sys...

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12th international conference on Information and Communication Technology, ICoICT 2024

作者： Rayhan, Afif Fajar Riskiana, Rosa Reska Kusumo, Dana Sulistyo Wibowo, Ryan Oktaviandi Susilo Praja, Muhammad Rafi Andeo School of Computing Telkom University Bandung Indonesia

ISBN: (纸本)9798350363432

The surge in Internet of Things (IoT) controller mobile applications, particularly for smart lighting systems, underscores the need for robust quality assurance to manage their complexity. This study explores Model-Based Testing (MBT) using the Extended Finite State Machine (EFSM) approach on the Wiz Connected App, an IoT mobile controller. Utilizing the TestOptimal tool with the Postman Problem algorithm as the optimal sequencer, the research achieved 100% coverage of states, transitions, and acceptance criteria. Despite this success, the MBT approach for IoT systems demonstrated higher complexity and longer execution times compared to web applications in similar research. The dynamic characteristics of IoT systems, including interaction complexity and real-time behavior, are effectively addressed through MBT, enhancing the robustness and reliability of the system. Future research should focus on integrating hardware testing with MQTT, enhancing sensor feature inclusion for real-time interactions, and exploring algorithms that reduce execution times while maintaining test coverage. Additionally, optimizing EFSM models to reduce cyclomatic complexity can streamline and scale MBT frameworks, making them more feasible for complex IoT environments. These advancements aim to enhance MBT methodologies, addressing the dynamic challenges of IoT systems and extending their benefits across broader IoT applications. © 2024 ieee.

关键词： Model checking

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Adaptive Runtime Estimate of Task Execution times using Bayesian Modeling 27

Adaptive Runtime Estimate of Task Execution Times using Baye...

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27th ieee international conference on embedded and real-time computing systems and applications (RTCSA)

作者： Friebe, Anna Markovic, Filip Papadopoulos, Alessandro, V Nolte, Thomas Malardalen Univ Vasteras Sweden

ISBN: (纸本)9781665441889

In the recent works that analyzed execution-time variation of real-time tasks, it was shown that such variation may conform to regular behavior. This regularity may arise from multiple sources, e.g., due to periodic changes in hardware or program state, program structure, inter-task dependence or inter-task interference. Such complexity can be better captured by a Markov Model, compared to the common approach of assuming independent and identically distributed random variables. However, despite the regularity that may be described with a Markov model, over time, the execution times may change, due to irregular changes in input, hardware state, or program state. In this paper, we propose a Bayesian approach to adapt the emission distributions of the Markov Model at runtime, in order to account for such irregular variation. A preprocessing step determines the number of states and the transition matrix of the Markov Model from a portion of the execution time sequence. In the preprocessing step, segments of the execution time trace with similar properties are identified and combined into clusters. At runtime, the proposed method switches between these clusters based on a Generalized Likelihood Ratio (GLR). Using a Bayesian approach, clusters are updated and emission distributions estimated. New clusters can be identified and clusters can be merged at runtime. The time complexity of the online step is O(N<^>2 + NC) where N is the number of states in the Hidden Markov Model (HMM) that is fixed after the preprocessing step, and C is the number of clusters.

关键词： real-time systems Hidden Markov Model Bayesian Analysis Probabilistic Timing Analysis

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Enhancing DM/OTA/FOTA systems Architecture for IOT using Collaborative computing Paradigms Reference Architecture 7

Enhancing DM/OTA/FOTA Systems Architecture for IOT using Col...

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7th ieee Pune Section international conference, PuneCon 2024

作者： Joshi, Prashant G. Deshpande, Bharat M. Bits Pilani K K Birla Goa Campus Department of Computer Science & Information Systems Goa India

ISBN: (纸本)9798331527822

The proliferation of Internet of Things (IoT) devices has heightened the need for efficient and reliable Over-The-Air (OTA) and Firmware Over-The-Air (FOTA) systems for effective Device Management (DM). Our literature review revealed that most research primarily focuses on trust, security, and the delivery of software updates, with little or no emphasis on developing a complete architectural framework. This paper proposes an enhanced architecture for DM/OTA/FOTA, that leverages Collaborative computing Paradigms (CCP) to optimize DM, OTA and FOTA processes in dynamic IoT environments. By integrating a unified resource pooling strategy, and dynamic distribution of data processing our architecture enhances operations. We explore the fluidity of computing across Edge, Fog, and Cloud paradigms, facilitating seamless firmware updates while ensuring scalability and extendability. Through real-world use cases, including automotive telematics, smart buildings and data center monitoring systems, we demonstrate the versatility and effectiveness of the proposed enhancement using the CCP-IOT-RA model of DM, OTA and FOTA systems. This work lays the groundwork for future research and applications in collaborative IoT architectures. © 2024 ieee.

关键词： Firmware

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