2023 International Conference on Networking and Communications (ICNWC)最新文献

{"title":"Tracing Ip Addresses Behind Vpn/Proxy Servers","authors":"T. Nithesh Aravind, A. Mukundh, Vijayakumar R","doi":"10.1109/ICNWC57852.2023.10127335","DOIUrl":"https://doi.org/10.1109/ICNWC57852.2023.10127335","url":null,"abstract":"Today, in the Internet world, the volume of Internet activity is constantly increasing, generating massive amounts of data. Data has become the most powerful commodity. Every employee’s need for security and privacy is increasing dramatically. More cybersecurity and data protection is needed. One way to prevent data loss and privacy violations is to use a virtual private network. It is very challenging to read or intercept traffic sent across an encrypted “tunnel” by a virtual private network (VPN). Due to insufficient security, public networks become ideal territory for hackers. As it is necessary to distinguish between legitimate users of the system and those attempting to circumvent it, security is one of the latest advances in computer science that has received the most attention. One of the common methods is IP spoofing, in which the hackers start the attack by faking the source IP; after this event has happened, they have the ability to attack without disclosing their precise location. Majority of the time, cybercriminals will use proxy services to carry out fraudulent activities while concealing their true IP address and physical location. In an effort to escape being located and arrested by police enforcement, this is done. This project’s only goal is to stop most attempts at fraudulent transactions. This method, as described in, employs a multi-tiered detection mechanism and finds several proxy connectivity approaches. The findings of the trials show that using proxies and VPNs to detect individuals who are collecting data potentially fraudulent actions, the proxy methodology enhances corporate security.","PeriodicalId":197525,"journal":{"name":"2023 International Conference on Networking and Communications (ICNWC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116106481","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}

{"title":"Multimodal Approach for Classifying Stress using Facial Emotion and Physiological Sensors","authors":"M. S. Abirami, Umang Shringi, Aditya Mishra","doi":"10.1109/ICNWC57852.2023.10127519","DOIUrl":"https://doi.org/10.1109/ICNWC57852.2023.10127519","url":null,"abstract":"The focus is on understanding emotional stress by itself may enhance artificial intelligence agents involved in emotion detection and human computer interaction. These emotional responses are reflected into emotions and facial expressions. This research work proposes a study of Stress Classification using both facial expression and Physiological Sensors. For getting facial data, transfer learning is used with fine-tuning to extract features from facial images. In transfer learning different Deep Learning architectures like VGG-19[13], ResNet are used. From the sensors data on four features are collected that is age, gender, body temperature and heartbeat and accordingly choose the architecture for doing stress classification. Finally, both these models are integrated for getting better results.","PeriodicalId":197525,"journal":{"name":"2023 International Conference on Networking and Communications (ICNWC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122101134","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}

{"title":"IoT Based Remote Surveillance For Animal Tracking Near Railway Tracks","authors":"T. K. Rajan, S. Karthick, S. Nirmal, S. N. Kumar, S. Senthilmurugan","doi":"10.1109/ICNWC57852.2023.10127346","DOIUrl":"https://doi.org/10.1109/ICNWC57852.2023.10127346","url":null,"abstract":"Every year, many resources are lost and animal life is in danger due to railroad accidents. To prevent the entry of wild animals near railroad tracks, they have to be monitored all the time. In this project, we propose a system that will monitor a railroad track for humans and animals. For the first round of surveillance, we have an IR sensor and a PIR sensor for motion detection, a MEMS sensor for pressure and vibration, and ultrasonic sensors for distance. Both data-driven Intelligent Transportation Systems (ITS) and the nascent Internet of Vehicles (IoV) services, like railroad barrier tracking at railroad crossings, railroad warnings, and light signaling systems, have the potential to be considerably improved by the use of IoT-based solutions. The train is the most well-liked and environmentally sustainable mode of transportation in the biggest cities on earth. For a convenient, secure, and affordable travel option, the train is the most popular. It is affordable to people in various vocations. One of the most effective ways to prevent train accidents is the subject of this project, which uses an ESP32 NODE MCU to create a multi-sensor railway track geometry surveying system. All the sensors are controlled, and information is transmitted and received. It can prevent accidents and safeguard animals and people. This system continuously monitors the status of the track and updates its time and its information to the IoT cloud platform, known as Thing speak. This information is observed in the mail or on the mobile phones of nearby railway officers so that they can take immediate action in order to prevent railway accidents.","PeriodicalId":197525,"journal":{"name":"2023 International Conference on Networking and Communications (ICNWC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128867377","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}

{"title":"Prediction of Breast Cancer Risk Using Microarrays and Deep Learning","authors":"R. M. Shanmu, P. Brundha, G. A. Swaminathan, R. T. Merlin, V. Hemamalini, M. Ramnath","doi":"10.1109/ICNWC57852.2023.10127241","DOIUrl":"https://doi.org/10.1109/ICNWC57852.2023.10127241","url":null,"abstract":"More than 1.15 million new instances of breast cancer are identified each year. In the clinic, only a few reliable prognostic and predictive indicators are utilized to make decisions about the treatment of breast cancer patients. The mortality rate of breast cancer patients may be lowered and their survival time extended by early identification. Analysis and processing of Microarray images, the principal test used for screening and early diagnosis, are the keys to improving breast cancer prognosis and are at the heart of this study. The Fuzzy C-means (FCM) approach is used for image segmentation in microarray for the detection of breast cancer. After features are retrieved from the segmented areas and the system is fully trained, the efficient classifier is used to assign microarrays to their respective classes. Techniques such as Multi-level Discrete Wavelet Transform, Principal Component Analysis (PCA), and Gray-level Co-occurrence Matrix (GLCM) are used to extract texture information. Differentiating masses and microarray image calcifications from the surrounding tissue is achieved with the aid of morphological operators and the classification of these features is handled by the Deep Convolution Neural Network (DCNN) algorithm. In a microarray, the tumor’s borders are highlighted and exhibited to the doctor, who may then assess the extent of the growth.","PeriodicalId":197525,"journal":{"name":"2023 International Conference on Networking and Communications (ICNWC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129655755","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}

{"title":"A New Era of Cybersecurity: The Influence of Artificial Intelligence","authors":"Rajasegar Rajendhiran Shanthi, Nitin Kumar Sasi, P. Gouthaman","doi":"10.1109/ICNWC57852.2023.10127453","DOIUrl":"https://doi.org/10.1109/ICNWC57852.2023.10127453","url":null,"abstract":"Artificial Intelligence (AI) has been rapidly advancing in recent years and has the potential to significantly impact the field of cybersecurity. One of the keyways in which AI is changing cybersecurity is by enabling more advanced and efficient threat detection and response. AI-powered systems can analysis vast amounts of data and identify patterns that would be difficult or impossible for a human to detect and can also automatically respond to threats in real-time. Additionally, AI can help organizations to better manage and secure their networks and devices, and to identify and mitigate vulnerabilities. However, AI also presents new challenges in the field of cybersecurity, as it can also be used to enable more sophisticated forms of cyber-attacks, such as AI-powered malware or “deepfake” phishing attempts. As AI continues to evolve, it will likely play an increasingly important role in the field of cybersecurity and will have a significant impact on the way organizations and individuals protect themselves from cyber threats.","PeriodicalId":197525,"journal":{"name":"2023 International Conference on Networking and Communications (ICNWC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124363520","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}

{"title":"Swasthify : Health as a Service","authors":"S. Pathak, Pranjay Poddar, V. Lavanya","doi":"10.1109/ICNWC57852.2023.10127352","DOIUrl":"https://doi.org/10.1109/ICNWC57852.2023.10127352","url":null,"abstract":"This project is aimed at ameliorating the hardships people face in availing the health services. The information related to even the basic health services like hospital beds, vaccines, icu beds etc. remain elusive to the end users. This issue has grown to an extent that it wreaked havoc during the pandemic, when people were wobbling between hospitals to avail these services since there isn’t any such universal or national database to keep a track of these items. Owing to the aforementioned problems, and scenarios we tried to collate the historical data about how the health issues have been around the country, and keeping the biggest requirement in mind of the general public whenever they face any health emergency is time, we devised a solution which tries to provide health services on the fingertips of end users.A two way interface, where the hospitals, and users get to self-on-board themselves on the portal. Hospitals reserve the rights to add, and update the services they are providing through this interface. On the other hand users get to search and de-clutter the hospitals on an umpteen parameters like availability of a particular requirement, location etc. Not only this we have also provide a dedicated channel which will enable any user to communicate with a hospital or other users in a chat forum through their dashboard, this will further our cause of bringing transparency.Since the project is in its initial stage we have limited the exposed services, but as the number of hospitals on the platform increase we are planning to make this a dynamic scenario wherein a hospital reserves the right to add, or remove a service. Consulting a doctor and booking an appointment for the same is also something which we try to integrate, and also collate the user experience and showcase it as feedback for others.We have a very simple purpose hidden behind this idea, and it’s to amp up the extenuation of health sector which almost got ramshackled during the course of pandemic. It’s an acceptable excuse that it was an unprecedented situation, but our health sector was always like this, so to get rid of this opacity, and bring a time bound service at tables for our end users, this project will act as a health asservice, where you can plan before you take any step.","PeriodicalId":197525,"journal":{"name":"2023 International Conference on Networking and Communications (ICNWC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124365247","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}

{"title":"Edge Sensing of Agricultural Layers with Signals and TS Protocol and PS with PAPRAware Transmission","authors":"G. Maheswari, A. A. Lakshmi, K. K. Valli, G. Rajkumar, S. Ramesh","doi":"10.1109/ICNWC57852.2023.10127247","DOIUrl":"https://doi.org/10.1109/ICNWC57852.2023.10127247","url":null,"abstract":"Efficient data collection using wireless sensor networks (WSN) today focuses on the hot topics of smart agriculture and precision farming. Agricultural WSNs, however, often face many problems, including multitasking, variability, and transmission rate. In this paper, we provide a practical solution that takes advantage of the many data collection tasks in smart farming enabled by wireless sensor networks created enabled by edge computing. The next phase is a cutting-edge data collection system that combines edge computing and wireless sensor technology. The data collection system is made by modeling a variety of sensors and processes. The optimal workstation and wireless sensor are then selected on the edges of the network server, taking into consideration each unique job and the relationship between both the task and the sensor, to satisfy the accuracy of the information and the time constraints of information-gathering activities. We also design a data collection procedure that takes into consideration established criteria for information accuracy. Eventually, when the new technique is implemented, a simulation model is built and effects are evaluated and contrasted with conventional approaches. The idea outperforms the conventional approaches in metrics, according to the comparative results.","PeriodicalId":197525,"journal":{"name":"2023 International Conference on Networking and Communications (ICNWC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122487476","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}

{"title":"Smart Searching Product","authors":"S. Gomathi, G. B. Nithya Sree, V. S. Thennilaa","doi":"10.1109/ICNWC57852.2023.10127340","DOIUrl":"https://doi.org/10.1109/ICNWC57852.2023.10127340","url":null,"abstract":"The main motive of this application is to provide an indoor navigation system for a particular supermarket in order to consume less time at shopping. So, the application takes the supermarket’s floor map as its input and routes us to the desired location. The paper gives a brief explanation about technologies involved in making indoor navigation applications. We will be using the Ibeacon sensor technology or QR code scanner technology to deploy this application with consent to feasibility and cost efficiency.","PeriodicalId":197525,"journal":{"name":"2023 International Conference on Networking and Communications (ICNWC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123233785","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}

{"title":"Decentralized Portfolio Tracking Application On A Polygon Layer 2 Blockchain","authors":"E. Sujatha, G. N. Kumar, N. Vikas, Madithati Yuvateja Reddy","doi":"10.1109/ICNWC57852.2023.10127419","DOIUrl":"https://doi.org/10.1109/ICNWC57852.2023.10127419","url":null,"abstract":"This paper helps to eradicate a major problem that is occurring in financial services. One of the major issue and cost dependency in financial system is mediatory or third party. The governments,private institutions without the knowledge of the user absorbs a large amount through payment fee,taxes etc. These are the intermediate parties that are misusing the system. To overcome this problem their is a latest technology named Blockchain that helps to prevent this problem. Blockchain is a decentralized peer to peer technology where there will be no involvement of the third parties and helps users to solve the privacy issue. It interacts directly with the sender and receiver without depending on the third party. It provides a user friendly interface where a user can connect his/her decentralized wallet and know the details of his funds. The user can know the price and details of the holdings where he/she can track his/her portfolio. The user can able to send and receive his/her holding without depending on the third party and also can transfer funds without the knowledge or trace of a government or private institutions.","PeriodicalId":197525,"journal":{"name":"2023 International Conference on Networking and Communications (ICNWC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123930462","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}

{"title":"Autonomous Vehicle Security Enhancement","authors":"G. Aravind, Sreelakshmi Nambiar, M. Krishnan","doi":"10.1109/ICNWC57852.2023.10127538","DOIUrl":"https://doi.org/10.1109/ICNWC57852.2023.10127538","url":null,"abstract":"Autonomous vehicles are becoming increasingly popular in the market, with some offering remote accessibility. These vehicles rely on the Control Area Network (CAN)bus protocol for communication, which suffers from a lack of encryption, authentication, and fails to satisfy the CIA Triad. As a result, it has several security vulnerabilities that could compromise the safety of society. In the existing system, there is a flaw in cryptography and a possibility of Remote Control Execution (RCE). This paper analyzes the vulnerabilities of the CAN bus and proposes a solution to fix the major RCE vulnerability. Our proposed security measures aim to prevent RCE and provide endpoint security. The results show that our solution is effective in preventing RCE attacks on the CAN bus.","PeriodicalId":197525,"journal":{"name":"2023 International Conference on Networking and Communications (ICNWC)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124049121","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}