Proceedings of the 9th International Conference on Networking, Systems and Security最新文献

Asynchronous Line Formation in Presence of Faulty Robots 存在故障机器人的异步队形

Proceedings of the 9th International Conference on Networking, Systems and Security Pub Date : 2022-12-20 DOI: 10.1145/3569551.3569553

Subhajit Pramanick, Gurram Joseph Spourgeon, K. Raj, P. Mandal

引用次数: 1

Sound-Based Fault Detection For Textile Machinery 基于声音的纺织机械故障检测

Proceedings of the 9th International Conference on Networking, Systems and Security Pub Date : 2022-12-20 DOI: 10.1145/3569551.3569557

Md. Harunur Rashid Bhuiyan, Muhammad Tafsirul Islam, Nazmul Islam, Mynul Islam, Anupom Mondol, Tarik Reza Toha, Shaikh Mohammad Mominul Alam

{"title":"Sound-Based Fault Detection For Textile Machinery","authors":"Md. Harunur Rashid Bhuiyan, Muhammad Tafsirul Islam, Nazmul Islam, Mynul Islam, Anupom Mondol, Tarik Reza Toha, Shaikh Mohammad Mominul Alam","doi":"10.1145/3569551.3569557","DOIUrl":"https://doi.org/10.1145/3569551.3569557","url":null,"abstract":"The textile sector is one of the vital driving forces in the economy of south Asian countries like Bangladesh, India, Pakistan, etc. However, most of the textile industries suffer from frequent machinery faults everyday which reduces their productivity, which in terms reduces their profit. Existing systems for detecting the faults in textile machinery fails to find a remedy to this problem due to several limitations. Among them, sound based and vibration based fault detection systems are based on prototype machinery and has smaller data set to detect machinery fault properly. The fabric defect based, machine learning based approaches only detect machinery fault after fabric has become already defected. To remedy these limitations, in this paper, we propose a sound based fault detection system consisting of trained machine learning model from large data set that can detect machinery fault in textile industry. We use a sound sensor to measure the sound signal of the machine. We artificially create three real faults in the experimented machine and measure the sound signal during the faults. Next, we conduct Fast Fourier Analysis derive sound frequency and statistical analysis to derive different statistical features from the prepared data set. From these two analysis, we determine if the sound frequency and amplitude changes during the fault. After that, we feed the data set to ten machine learning algorithms. Finally, we evaluate our trained machine leaning models through ten fold cross validation to determine the precision, recall, and F1 score. We find the highest F1 of 57.7% in Nearest Centroid Algorithm.","PeriodicalId":177068,"journal":{"name":"Proceedings of the 9th International Conference on Networking, Systems and Security","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126288788","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

Design and Implementation of Wireless IoT Device for Women’s Safety 女性安全无线物联网设备的设计与实现

Proceedings of the 9th International Conference on Networking, Systems and Security Pub Date : 2022-12-20 DOI: 10.1145/3569551.3569559

Mohammad Shihab Mustafa, Jannatul Ferdaus Khan Lisa, J. Mukta

{"title":"Design and Implementation of Wireless IoT Device for Women’s Safety","authors":"Mohammad Shihab Mustafa, Jannatul Ferdaus Khan Lisa, J. Mukta","doi":"10.1145/3569551.3569559","DOIUrl":"https://doi.org/10.1145/3569551.3569559","url":null,"abstract":"Abstract—Nowadays, women face imminent risk of sexual harassment, rape and molestation in the streets as male predators roam around in search of their potential targets. In this precarious scenario, women needs to be protected in the street for their safety. To address these challenges, in this paper, we propose a wearable device that will protect and enhance the safety of women. This goal is achieved by analyzing the user’s pulse rate and oxygen measurements and updating them on the Blynk IoT web server. The user’s pulse-rate and blood oxygen saturation is determined by acquiring raw heart-rate and oxygen values from a pulse oximeter and oxygen sensor installed at the heart of the device. Real-time monitoring of user data is achieved by transferring sensor data to the Blynk IoT web server. This wireless device is specifically programmed to continuously monitor the user’s pulse-rate and oxygen values and react in case of a danger situation. It does so by detecting the abnormal pulse-rate and oxygen values, after which it sends the alert text message along with the location and live video streaming to the guardian’s mobile device via the Tasker app. Meanwhile, the alarm starts ringing. Besides, we validate our system architecture using different real time test cases. Moreover, we present a comparison of our proposed architecture with existing literature’s.","PeriodicalId":177068,"journal":{"name":"Proceedings of the 9th International Conference on Networking, Systems and Security","volume":"8 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125659430","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: 2

A Watermarking Approach to Communicate Patient Data Securely from Distributed Sources 一种从分布式来源安全地传输患者数据的水印方法

Proceedings of the 9th International Conference on Networking, Systems and Security Pub Date : 2022-12-20 DOI: 10.1145/3569551.3569552

Subrata Kumar Das, Mohammad Zahidur Rahman

引用次数: 0

What Do Firebase Developers Discuss About? An Empirical Study on Stack Overflow Posts Firebase开发者讨论什么?堆栈溢出桩的实证研究

Proceedings of the 9th International Conference on Networking, Systems and Security Pub Date : 2022-12-20 DOI: 10.1145/3569551.3569558

Md. Sohel Aman Khan, Ahmad Rahman Farabi, Anindya Iqbal

{"title":"What Do Firebase Developers Discuss About? An Empirical Study on Stack Overflow Posts","authors":"Md. Sohel Aman Khan, Ahmad Rahman Farabi, Anindya Iqbal","doi":"10.1145/3569551.3569558","DOIUrl":"https://doi.org/10.1145/3569551.3569558","url":null,"abstract":"Firebase is the leading Platform-as-a-Service (PaaS) solution in the application development industry. It is globally used by millions of mobile applications and websites. Being a very popular and robust development platform, Firebase has introduced and developed many features and components over the years. Various services and modules are being added to the platform. So, the developers who use Firebase in their applications, need to have versatile knowledge of the platform. It is difficult to acquire an overview of the trends and discussions of any vast and dynamic platform such as Firebase. Therefore, learners, enthusiasts, and often developers have to put in a lot of effort to figure out topics they should explore and focus on. As a large number of application developers frequently use it and engage in various discussions about it in popular community discussion forums for developers, it has become a very promising source for identifying the topics and trends related to Firebase. Stack Overflow is the most popular community for developers’ discussions. It has grown to be a vast ocean of knowledge to explore. In this study, a systematic approach is followed to explore, extract, and analyze Stack Overflow discussions on Firebase to present an overview of the platform. Natural language processing and machine learning methods were used for extracting information from Stack Overflow data. Information collected was reviewed, analyzed, and compiled into this paper by the research group who have practical experiences in the Firebase platform and other relevant software engineering fields.","PeriodicalId":177068,"journal":{"name":"Proceedings of the 9th International Conference on Networking, Systems and Security","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117175546","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

Detecting Fake Co-visitation Injection Attack in Graph-based Recommendation Systems 基于图的推荐系统中伪共同访问注入攻击检测

Proceedings of the 9th International Conference on Networking, Systems and Security Pub Date : 2022-12-20 DOI: 10.1145/3569551.3569556

Tropa Mahmood, Muhammad Abdullah Adnan

{"title":"Detecting Fake Co-visitation Injection Attack in Graph-based Recommendation Systems","authors":"Tropa Mahmood, Muhammad Abdullah Adnan","doi":"10.1145/3569551.3569556","DOIUrl":"https://doi.org/10.1145/3569551.3569556","url":null,"abstract":"Recommendation systems are vulnerable to injection attacks by malicious users due to their fundamental openness. One of the vulnerabilities is the fake co-visitation injection attack, which significantly impacts recommendation systems since it modifies the system according to the attacker’s wishes. To date, the detection of co-visitation injection attacks is challenging as: (1) the choice of attribute representation of nodes is hard, (2) practical evidence for analyzing and detecting anomalies in real-world data is insufficient, (3) it is challenging to filter between the original and injected co-visitation data in terms of node behaviors. This paper investigates a unified detection framework that combines attribute and network structure information synergistically to detect outlier nodes based on CUR decomposition and residual analysis. At first, co-visitation graphs are constructed using association rules, and attribute representations of their nodes are developed. Then, both attributes and network structure information are blended in order to identify suspicious nodes. Extensive experiments on both synthetic and real-world dataset exhibit the efficacy of the proposed detection approach compared to other state-of-the-art approaches. The experimental results show that the detection performance can improve by up to 50% for co-visitation injection attacks over the baselines in terms of false alarm rate (FAR) while keeping the highest detection rate (DR).","PeriodicalId":177068,"journal":{"name":"Proceedings of the 9th International Conference on Networking, Systems and Security","volume":"28 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116107410","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

Mitigating DDoS Attacks Using a Resource Sharing Network 通过资源共享网络减少DDoS攻击

Proceedings of the 9th International Conference on Networking, Systems and Security Pub Date : 2022-12-20 DOI: 10.1145/3569551.3569560

Farabi Fardin Khan, Nafis Mohaimin Hossain, Md. Nazrul Huda Shanto, Sad Bin Anwar, Jannatun Noor

{"title":"Mitigating DDoS Attacks Using a Resource Sharing Network","authors":"Farabi Fardin Khan, Nafis Mohaimin Hossain, Md. Nazrul Huda Shanto, Sad Bin Anwar, Jannatun Noor","doi":"10.1145/3569551.3569560","DOIUrl":"https://doi.org/10.1145/3569551.3569560","url":null,"abstract":"Cloud computing has gained noticeable popularity due to its ability to radically improve computing power through the application of virtual machines. In this era of the internet, however, security threats are increasing and it is costing many businesses. The seemingly legitimate traffic of these application-level attacks renders the previous detection and mitigation methods ineffective. These cyber-attacks have grown ever so sophisticated and the detection and mitigation of these attacks has become one of the major concerns of security researchers and cloud service providers all around the globe. In this paper, we propose a resource sharing method to create a universal solution to mitigate DDoS attacks. We use an existing filtering method to track the IP addresses of attackers, then send them to the proxy server and delete unwanted IP packet requests by memory management system. Later, we emulate the blockchain network using 50 Nginx VM servers as a start to show the potential of our proposal. We show that our method can mitigate 66% of attacks with only 50VMs. To maximize the capability of mitigating DDoS attacks of our network, we need to increase the number of VM’s and it may take at least a few dozen developers working years on end to develop. Therefore, the goal of this paper is to lay the foundation on which one day the universal solution will be created.","PeriodicalId":177068,"journal":{"name":"Proceedings of the 9th International Conference on Networking, Systems and Security","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115766963","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

Citadel: An Automated Abuse Detection System to Detect And Prevent Abusive Behaviors over Emails 城堡:一个自动滥用检测系统，以检测和防止滥用行为的电子邮件

Proceedings of the 9th International Conference on Networking, Systems and Security Pub Date : 2022-12-20 DOI: 10.1145/3569551.3569555

Ishita Haque, Rudaiba Adnin, Sadia Afroz, Faria Huq, Sazan Mahbub, S. Azam, A. A. Islam

引用次数: 0

Cri-Astrologer: Predicting Demography of Involved Criminals based on Historical Data 占星家:基于历史数据预测犯罪人口

Proceedings of the 9th International Conference on Networking, Systems and Security Pub Date : 2022-12-20 DOI: 10.1145/3569551.3569561

Md.Atiqur Rahman, A. A. Islam

引用次数: 0

MTUL: A Novel Approach for Multi-Trajectory User Linking MTUL:一种新的多轨迹用户链接方法

Proceedings of the 9th International Conference on Networking, Systems and Security Pub Date : 2022-12-20 DOI: 10.1145/3569551.3569554

Fariha Tabassum Islam, Md. Tareq Mahmood, Mahmuda Naznin

引用次数: 0