2024 16th International Conference on COMmunication Systems & NETworkS (COMSNETS)最新文献_第3页

A Robust Feature Integration for Multiclass Metamorphic Malware Detection in IoT Network 物联网网络中多类变态恶意软件检测的稳健特征集成

2024 16th International Conference on COMmunication Systems & NETworkS (COMSNETS) Pub Date : 2024-01-03 DOI: 10.1109/COMSNETS59351.2024.10427143

Tisha Chawla, Saifur Rahman, Shantanu Pal, Chandan K. Karmakar

引用次数: 0

Convergence of IoT and Blockchain Ecosystem to Ensure Traceability and Reliability in Agricultural Supply Chain 融合物联网和区块链生态系统，确保农业供应链的可追溯性和可靠性

2024 16th International Conference on COMmunication Systems & NETworkS (COMSNETS) Pub Date : 2024-01-03 DOI: 10.1109/COMSNETS59351.2024.10427374

Adithyah Nair, Ushasri Peddibhotla, Sobin Choodan Chandran, Randhir Kumar

{"title":"Convergence of IoT and Blockchain Ecosystem to Ensure Traceability and Reliability in Agricultural Supply Chain","authors":"Adithyah Nair, Ushasri Peddibhotla, Sobin Choodan Chandran, Randhir Kumar","doi":"10.1109/COMSNETS59351.2024.10427374","DOIUrl":"https://doi.org/10.1109/COMSNETS59351.2024.10427374","url":null,"abstract":"The profound growth in the human population over the past two centuries has created a new issue in food security. Due to the high demand for food, there is an increasing burden on the agricultural supply chain (ASC) to satisfy the hunger of every individual. As a result, there is a possibility for spoilt or contaminated food to enter the ASC. If the end-consumer consumes these bad food products, it can lead to food poisoning and even death in certain circumstances. In order to ensure that the food delivered to the consumer is safe, it is necessary to monitor the food product as it passes through the different entities present in the ASC. The traditional ASC lacks traceability and reliability. Traceability is necessary in determining the origin of a crop, while reliability is necessary in preventing foul play by any entity. Therefore, developing a traceable and reliable system for the existing ASC model has become very important. The transparent, decentralized, and immutable qualities of Blockchain, along with the help from IoT devices, will allow us to actively trace the food from farm-to-fork as it passes through the supply chain while maintaining a high reliability between each entity. Thus, this paper proposes a novel ASC model, incorporated using Blockchain and IoT technology, to mitigate the traceability and reliability issues in the ASC.","PeriodicalId":518748,"journal":{"name":"2024 16th International Conference on COMmunication Systems & NETworkS (COMSNETS)","volume":"2 1","pages":"388-390"},"PeriodicalIF":0.0,"publicationDate":"2024-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140532750","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Roadside Traffic Monitoring Using Video Processing on the Edge 利用边缘视频处理技术进行路边交通监控

2024 16th International Conference on COMmunication Systems & NETworkS (COMSNETS) Pub Date : 2024-01-03 DOI: 10.1109/COMSNETS59351.2024.10427468

Saumya Jaipuria, Ansuman Banerjee, Arani Bhattacharya

{"title":"Roadside Traffic Monitoring Using Video Processing on the Edge","authors":"Saumya Jaipuria, Ansuman Banerjee, Arani Bhattacharya","doi":"10.1109/COMSNETS59351.2024.10427468","DOIUrl":"https://doi.org/10.1109/COMSNETS59351.2024.10427468","url":null,"abstract":"Roadside traffic monitoring is increasingly performed by deploying roadside high-resolution video cameras and then running computer vision (CV) models on the video data. Since computer vision models are compute-intensive as they utilize deep neural networks (DNNs), the data is usually sent to one or more edge servers located adjacent to mobile base stations, thereby keeping the in-situ (on camera) processing load as less as possible. Recent techniques propose running CV models on tiles of videos separately to detect and track small objects. Several CV models exist, each with different requirements of compute and memory. Since more compute and memory-intensive CV models provide higher accuracy, a key challenge of such techniques is to determine which vision model should be used on which tile. This becomes even more challenging if multiple videos are processed by the same edge server. In this paper, we first formulate this problem of model selection and tile allocation as an Integer Linear Programming (ILP) instance, and then propose an approximation algorithm based on linear relaxation followed by randomized rounding to solve it. We present experimental results of our methods on an open source dataset based on trace-driven simulation to show that it gives result fast enough while also reducing execution time in a variety of scenarios.","PeriodicalId":518748,"journal":{"name":"2024 16th International Conference on COMmunication Systems & NETworkS (COMSNETS)","volume":"159 1","pages":"542-550"},"PeriodicalIF":0.0,"publicationDate":"2024-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140532593","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Road Traffic Analysis Using 2D LIDAR 利用二维激光雷达进行道路交通分析

2024 16th International Conference on COMmunication Systems & NETworkS (COMSNETS) Pub Date : 2024-01-03 DOI: 10.1109/COMSNETS59351.2024.10426892

Rajana Revanth Sai, A. Tangirala, L. Vanajakshi

{"title":"Road Traffic Analysis Using 2D LIDAR","authors":"Rajana Revanth Sai, A. Tangirala, L. Vanajakshi","doi":"10.1109/COMSNETS59351.2024.10426892","DOIUrl":"https://doi.org/10.1109/COMSNETS59351.2024.10426892","url":null,"abstract":"Traffic congestion that leads to pollution and loss of valuable time and money of citizens is becoming a major concern. Understanding the congestion and developing mitigating measures is the need of the hour. Identifying key traffic variables for congestion quantification is pivotal. Volume, speed, and density are commonly utilized metrics in this regard. The current study uses a relatively new sensing technology, the Light Detection and Ranging (LIDAR) for analyzing traffic flow and congestion. A 2-D LIDAR system is specifically deployed at a selected location for this purpose. Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm is used for vehicle detection from the LIDAR data. The total vehicle count is estimated with an accuracy of 99%, and the estimation of classified vehicle count showed a mean absolute percentage error of 1.21%. The performance is evaluated with the help of field-collected video data. Road occupied area is also determined based on which congestion was estimated. Further, a forecasting model is developed and implemented using a stacked LSTM (Long Short- Term Memory) neural network to predict the next instants of occupied area, which gave a mean square error of 0.02 on the test data.","PeriodicalId":518748,"journal":{"name":"2024 16th International Conference on COMmunication Systems & NETworkS (COMSNETS)","volume":"310 1-2","pages":"228-233"},"PeriodicalIF":0.0,"publicationDate":"2024-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140532817","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

On Exploiting Edge Resources for Micro-Service Based SaaSs 为基于微服务的 SaaS 开发边缘资源

2024 16th International Conference on COMmunication Systems & NETworkS (COMSNETS) Pub Date : 2024-01-03 DOI: 10.1109/COMSNETS59351.2024.10427048

Pranay Agarwal, Sharayu Moharir

{"title":"On Exploiting Edge Resources for Micro-Service Based SaaSs","authors":"Pranay Agarwal, Sharayu Moharir","doi":"10.1109/COMSNETS59351.2024.10427048","DOIUrl":"https://doi.org/10.1109/COMSNETS59351.2024.10427048","url":null,"abstract":"Many popular Software as a Services (SaaSs) have stringent latency requirements that have necessitated the use of edge resources. Many SaaSs use micro-services-based architecture where the SaaSs are designed as a set of independent smaller services known as micro-services. In this work, we model a SaaS comprising multiple micro-services using a directed graph, wherein each node represents a micro-service and each directed edge represents a possible navigation path for a user from one micro-service to another. We consider a network with multiple servers at varying distances from the end-users that can be used to host these micro-services. The evolution of this system consisting of servers, SaaS, and its users is then mapped to an open feed-forward queueing network. We formulate an optimization problem to identify the server to host each micro-service and to determine the amount of computational resources to rent at these servers. Structural properties of the optimal solution to this problem are characterized under some assumptions on the graph structure and relative values of the costs involved. In addition, we propose a heuristic for solving the formulated problem and illustrate its efficacy via numerical results.","PeriodicalId":518748,"journal":{"name":"2024 16th International Conference on COMmunication Systems & NETworkS (COMSNETS)","volume":"25 1","pages":"533-541"},"PeriodicalIF":0.0,"publicationDate":"2024-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140532999","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Performance of Multiple IRS-Enabled V2V Communication Over Double Generalized Gamma Fading Channel 双广义伽马衰减信道上支持多重 IRS 的 V2V 通信性能

2024 16th International Conference on COMmunication Systems & NETworkS (COMSNETS) Pub Date : 2024-01-03 DOI: 10.1109/COMSNETS59351.2024.10426981

Manojkumar B. Kokare, S. R., S. Gautam

{"title":"Performance of Multiple IRS-Enabled V2V Communication Over Double Generalized Gamma Fading Channel","authors":"Manojkumar B. Kokare, S. R., S. Gautam","doi":"10.1109/COMSNETS59351.2024.10426981","DOIUrl":"https://doi.org/10.1109/COMSNETS59351.2024.10426981","url":null,"abstract":"Over the past few years, the idea of intelligent reflecting surface (IRS) has drawn a lot of attention as a potential solution for beyond fifth-generation (B5G) communication systems and the sixth-generation (6G) communication networks. It is envisioned that data transmission from the transmitter to the receiver for such highly dynamic systems can be greatly improved by using IRS, a device made of inexpensive meta-surfaces that can reflect the signals in the desired direction. In this paper, we analyze the performance of a multi-IRS-assisted vehicle-to-vehicle (V2V) communication system by considering multiple IRSs between the transmitting and the receiving vehicles. Specifically, performance is evaluated by the selection of the best IRS among the multiple IRSs using the end-to-end instantaneous signal-to-noise ratio (SNR) measure. We derive the approximate closed-form expressions for outage probability (OP) and average symbol error rate (ASER) by considering the independent and non-identically distributed (i.n.i.d) double generalized Gamma (dGG) fading channel. Further, we use Monte-Carlo simulations to validate the accuracy of our theoretical expressions. It is inferred from results that the presence of multiple IRSs and multiple number of IRS elements in each IRS improves the system performance compared to the existing V2V systems reported in the literature.","PeriodicalId":518748,"journal":{"name":"2024 16th International Conference on COMmunication Systems & NETworkS (COMSNETS)","volume":"13 1","pages":"913-919"},"PeriodicalIF":0.0,"publicationDate":"2024-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140532747","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Online Rate Allocation for AoI Minimization in an Energy Constrained D2D Communication 在能量受限的 D2D 通信中，为实现 AoI 最小化而进行在线速率分配

2024 16th International Conference on COMmunication Systems & NETworkS (COMSNETS) Pub Date : 2024-01-03 DOI: 10.1109/COMSNETS59351.2024.10427061

Siddharth Deshmukh, B. Beferull-Lozano

{"title":"Online Rate Allocation for AoI Minimization in an Energy Constrained D2D Communication","authors":"Siddharth Deshmukh, B. Beferull-Lozano","doi":"10.1109/COMSNETS59351.2024.10427061","DOIUrl":"https://doi.org/10.1109/COMSNETS59351.2024.10427061","url":null,"abstract":"This paper considers the problem of online rate allocation in a Device-to-Device (D2D) communication system where large-size packets are transmitted over multiple time slots. Moreover, the focus is on the scenario of energy-efficient timely update of packets and considers the minimization of the Age of Information (AoI) metric under an average transmit power constraint. The problem is modeled as a Constrained Markov Decision Process (CMDP) where the objective is to minimize the time average AoI cost while restricting the time average transmit power to a specified threshold. The optimization problem is solved by forming the Lagrangian, followed by the primal-dual approach. The primal problem is an unconstrained Markov Decision Process (MDP) for which the well-established Relative Value Iteration Algorithm (RVIA) can be exploited. However, under the assumption of an unknown probability transition kernel, an in-between post-rate allocation state is introduced, and with the aid of stochastic approximation, we propose an online framework for the rate allocation. Finally, the efficacy of the proposed approach is demonstrated by numerical simulations.","PeriodicalId":518748,"journal":{"name":"2024 16th International Conference on COMmunication Systems & NETworkS (COMSNETS)","volume":"439 1","pages":"661-665"},"PeriodicalIF":0.0,"publicationDate":"2024-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140532598","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Dynamic- X-Y: A Tool for Learning Dynamic Alert Suppression Policies in AIOps 动态 X-Y：学习 AIOps 中动态警报抑制策略的工具

2024 16th International Conference on COMmunication Systems & NETworkS (COMSNETS) Pub Date : 2024-01-03 DOI: 10.1109/COMSNETS59351.2024.10427540

Karan Bhukar, Harshit Kumar, Seema Nagar, Pooja Aggarwal, Ian Manning, Rohan Arora, R. Mahindru, Amit Paradkar, Matthew Thornhill, Stephen Cook, Jack Buggins

{"title":"Dynamic- X-Y: A Tool for Learning Dynamic Alert Suppression Policies in AIOps","authors":"Karan Bhukar, Harshit Kumar, Seema Nagar, Pooja Aggarwal, Ian Manning, Rohan Arora, R. Mahindru, Amit Paradkar, Matthew Thornhill, Stephen Cook, Jack Buggins","doi":"10.1109/COMSNETS59351.2024.10427540","DOIUrl":"https://doi.org/10.1109/COMSNETS59351.2024.10427540","url":null,"abstract":"Although Cloud Native Network functions (CNFs) provide greater agility, manageability, and significantly lower operational costs, the reliability and performance assurance is getting increasingly complex, therefore observability tools are needed to monitor and detect anomalous events, triggering alert notifications and creation of incidents. However, most of these notifications turn out to be false alarms, leading to alert fatigue, inefficiencies, and the risk of missing critical alerts. Existing approaches for reducing alert noise rely on static policies that can quickly become outdated in dynamic IT environments. We demonstrate a novel unsupervised approach, Dynamic-X-Y, which learns dynamic alert suppression policies from historical alert data and applies them to incoming events/alerts at runtime, thereby reducing unnecessary alert notifications. Our approach achieves an accuracy of 93.93% in identifying correct alerts, outperforming the baselines by a significant margin. Additionally, we present a case study demonstrating the effectiveness of our approach vis-a-vis the No-Sunnression annroach.","PeriodicalId":518748,"journal":{"name":"2024 16th International Conference on COMmunication Systems & NETworkS (COMSNETS)","volume":"107 1-3","pages":"291-293"},"PeriodicalIF":0.0,"publicationDate":"2024-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140532743","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Real-Time Object Detection as a Service for UGVs Using Edge Cloud 利用边缘云为 UGV 提供实时物体检测服务

2024 16th International Conference on COMmunication Systems & NETworkS (COMSNETS) Pub Date : 2024-01-03 DOI: 10.1109/COMSNETS59351.2024.10426975

Yuvraj Chowdary Makkena, Prashanth P S, Praveen Tammana, Praveen Chandrahas, Rajalakshmi Pachamuthu

{"title":"Real-Time Object Detection as a Service for UGVs Using Edge Cloud","authors":"Yuvraj Chowdary Makkena, Prashanth P S, Praveen Tammana, Praveen Chandrahas, Rajalakshmi Pachamuthu","doi":"10.1109/COMSNETS59351.2024.10426975","DOIUrl":"https://doi.org/10.1109/COMSNETS59351.2024.10426975","url":null,"abstract":"Autonomous navigation has made significant strides in recent years, finding successful deployment in controlled environments. This achievement has been facilitated by the increased computational power and machine learning techniques. Nevertheless, overcoming numerous challenges is crucial for its widespread adoption across all environments. One notable obstacle involves the provision of dependable, low-latency, and cost-effective data processing solutions for compute-intensive applications. To tackle this challenge, this demo investigates the potential for offloading compute-intensive tasks from a UGV to a nearby edge cloud and characterize the performance in terms of latency and throughput. By doing so, compute-heavy workloads on a UGV are replaced by simple API calls to edge cloud-based services deployed. It also keeps the UGV system design simple, reduces hardware costs, and saves power consumption. This approach offers significant benefits for autonomous vehicles in controlled environments such as campus shuttles, agricultural rovers, and warehouse rovers.","PeriodicalId":518748,"journal":{"name":"2024 16th International Conference on COMmunication Systems & NETworkS (COMSNETS)","volume":"2 1","pages":"303-305"},"PeriodicalIF":0.0,"publicationDate":"2024-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140533005","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

SmartSV: Real-Time Solenoid Valve Diagnosis at Embedded Edge-Level SmartSV：嵌入式边缘实时诊断电磁阀

2024 16th International Conference on COMmunication Systems & NETworkS (COMSNETS) Pub Date : 2024-01-03 DOI: 10.1109/COMSNETS59351.2024.10427034

Harsha Yelchuri, Shrutkirthi S. Godkhindi, BN Prajwal, Vishwanath Shastry, T. V. Prabhakar

引用次数: 0