International Journal of Innovative Research in Engineering最新文献_第2页

Detection of Botnet in IOT Using Machine Learning 利用机器学习检测物联网中的僵尸网络

International Journal of Innovative Research in Engineering Pub Date : 2024-05-02 DOI: 10.59256/ijire.20240503001

Vyshnav Unnikrishnan, Jobin Mathew Samkutty, Navin M Mathew, Muhammad Shareef C S, Chandu Asok

{"title":"Detection of Botnet in IOT Using Machine Learning","authors":"Vyshnav Unnikrishnan, Jobin Mathew Samkutty, Navin M Mathew, Muhammad Shareef C S, Chandu Asok","doi":"10.59256/ijire.20240503001","DOIUrl":"https://doi.org/10.59256/ijire.20240503001","url":null,"abstract":"The proliferation of Internet of Things (IoT) devices has introduced unprecedented connectivity and convenience but also heightened the vulnerability to botnet attacks. There are an increasing number of Internet of Things (IoT) devices connected to the network these days, and due to the advancement in technology, the security threads and cyberattacks, such as botnets, are emerging and evolving rapidly with high-risk attacks. These attacks disrupt IoT transition by disrupting networks and services for IoT devices. Many recent studies have proposed ML and DL techniques for detecting and classifying botnet attacks in the IoT environment. This project presents a straightforward approach to detect botnet activity within IoT networks through the utilization of machine learning techniques. By analyzing network traffic patterns and employing unsupervised learning algorithms, we demonstrate an effective method to identify and mitigate botnet threats in IoT environments. By this project we intend to offer a valuable contribution in enhancing the security of IoT ecosystem. Key Word: Internet of Things(IoT),cybersecurity, botnet attacks, machine learning(ML),UNSW-NB15 dataset, exploratory data analysis, XgBoost","PeriodicalId":516932,"journal":{"name":"International Journal of Innovative Research in Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141018021","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

Medical Report Management and Distribution System on Blockchain 区块链医疗报告管理和分发系统

International Journal of Innovative Research in Engineering Pub Date : 2024-05-02 DOI: 10.59256/ijire.20240503002

Bibin M Jacob, Devika Mohan, Shefina Shereef, Vaishnavi Nair S V, Stefin Thomas Pallathu

{"title":"Medical Report Management and Distribution System on Blockchain","authors":"Bibin M Jacob, Devika Mohan, Shefina Shereef, Vaishnavi Nair S V, Stefin Thomas Pallathu","doi":"10.59256/ijire.20240503002","DOIUrl":"https://doi.org/10.59256/ijire.20240503002","url":null,"abstract":"The security and effective management of health records is a key issue for today's digitized healthcare environment. In terms of data security, integrity and accessibility, traditional centralized systems face challenges. We propose a novel system of medical report management and dissemination using the Block-chain technology, as well as SHA1 encryption for addressing these issues. In order to store hashed medical reports, our system uses a decentralized block-chain network to ensure tamper-proof and immutable records. SHA1 is used to hash every medical report, generating a unique identifier that's stored on the Block-chain. The integration of Flask, Python's lightweight web framework, facilitates the creation of an easy user interface to interact with a system easily. Secure storage, effective distribution and granular control of medical reports are among the key features of our system. In order to maintain the integrity and confidentiality of data, patients, physicians or authorized persons should be able to use secure means for accessing and updating their healthcare records. The use of SHA1 increases system security by providing a reliable cryptographic hash. Our system is aimed at simplifying the management and distribution of medical reports, thereby improving efficiency and patient outcomes in addition to enhanced data protection and integrity. By ensuring security, transparency and decentralized solutions, we are confident that the proposal for a medical records management system has the potential to revolutionize this area.","PeriodicalId":516932,"journal":{"name":"International Journal of Innovative Research in Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141018988","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

Plant Disease Detection Using Machine Learning & Image Processing 利用机器学习和图像处理检测植物病害

International Journal of Innovative Research in Engineering Pub Date : 2024-05-02 DOI: 10.59256/ijire.20240503003

Malathi T, Muhammed Nayif M Navab Metha, Nourin S, Prince Sajuvin, Jaison Mathew John

引用次数: 0

Revolutionizing Blind Navigation through AI Voices 通过人工智能语音革新盲人导航

International Journal of Innovative Research in Engineering Pub Date : 2024-05-01 DOI: 10.59256/ijire.20240502042

Maheswari J, Sowmiya B, Sowmiya K, Thirisha S, Vishnupriya G

引用次数: 0

Analysis and Design of High-Rise (G +12) Building Using STAAD Pro 使用 STAAD Pro 分析和设计高层建筑 (G +12)

International Journal of Innovative Research in Engineering Pub Date : 2024-04-25 DOI: 10.59256/ijire.20240502034

Dr. Pusala Kodanda Rama Rao, Koppula Siva Rama Krishna Reddy, Polagani Tej Sai, Mathangi Bharat Kumar, Murari Naveen Kumar, Pamarthi Varun

{"title":"Analysis and Design of High-Rise (G +12) Building Using STAAD Pro","authors":"Dr. Pusala Kodanda Rama Rao, Koppula Siva Rama Krishna Reddy, Polagani Tej Sai, Mathangi Bharat Kumar, Murari Naveen Kumar, Pamarthi Varun","doi":"10.59256/ijire.20240502034","DOIUrl":"https://doi.org/10.59256/ijire.20240502034","url":null,"abstract":"High rise building is the most frequently used word in all most all construction activities especially in rapidly growing cities in terms of development and population. National Building Code (NBC) defines a high-rise as “All buildings 15 m or above in height (a building more than 4 storeys). The employment opportunities and facilities offered by the developing cities makes people to migrate towards urban areas which create the land scarcity for both Industrial and residential occupants. To satisfy the needs considering the future demand of habitable area and efficient use of land without expanding the boundaries of the cities makes people to choose high rise building it also facilitates with stunning views less noise pollution etc. STAAD is a popular structural analysis application known for analysis, diverse applications of use, Interoperability, and time-saving capabilities. STAAD helps structural engineers perform 3D structural Analysis and design for both steel and concrete structures. It ensures on-time and cost-effective Completion of steel, concrete, timber, aluminium, and cold-formed steel structures and designs, Regard less of complexity. We conclude that in this study we consider plot area 70 m x 24 m of g+12 Building consisting of 72 flats located kesarapalli near vijayawada Located in zone 3. we are going to analyse the high rise building for shear force and bending moments and design of critical sections of slab staircase footing by considering various loads such as with and without wind load, imposed load, dead loads. Key Word: High rise building, wind load, STAAD pro.","PeriodicalId":516932,"journal":{"name":"International Journal of Innovative Research in Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140653428","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

ASPIREAI: AI Chatbot for Career Guidance ASPIREAI：用于职业指导的人工智能聊天机器人

International Journal of Innovative Research in Engineering Pub Date : 2024-04-25 DOI: 10.59256/ijire.20240502033

Abhishek Yogesh Dhamdhere, Neha Raju Bhosale, Aditi Chandrakant Joshi, Vaidehi Vishwanath Kale, Aniket Avinash Chavan, M.S. Pokale

引用次数: 0

Water Footprint: A Review Based on Concepts, Methods, and Implications 水足迹：基于概念、方法和影响的综述

International Journal of Innovative Research in Engineering Pub Date : 2024-04-24 DOI: 10.59256/ijire.20240502032

R. R, Sanmathi K R, R. S R

{"title":"Water Footprint: A Review Based on Concepts, Methods, and Implications","authors":"R. R, Sanmathi K R, R. S R","doi":"10.59256/ijire.20240502032","DOIUrl":"https://doi.org/10.59256/ijire.20240502032","url":null,"abstract":"Water footprint assessment has become a useful method for assessing how much water is used by products and activities related to humans, offering insights into how water resources might be managed sustainably. While agricultural production accounts for the majority of water consumption worldwide, the industrial and residential sectors also use large amounts of water and cause pollution. This review article provides an examination of the approaches and uses of water footprint assessment in a range of industries and geographical areas. The notion of water footprint and its elements green, blue, and grey water footprints as well as the corresponding computation techniques are introduced at the outset of the work. The most recent developments in spatially explicit modelling and life cycle assessment techniques, it examines the development of water footprint assessment procedures. The paper explores the many uses of water footprint assessment, from consumer items and urban water management to industrial operations and agricultural output. It provides case studies and real-world examples that show how water footprint analysis may be applied practically to address issues with pollution, water shortages, and sustainability in various settings. The study also looks at the difficulties and constraints that come with assessing the water footprint, such as methodological uncertainty, data availability, and temporal and geographical variability. It talks about current studies as well as potential paths forward for improving the reliability and usability of water footprint measurement instruments. As a comprehensive and integrated method for measuring and controlling the effects of human-induced water usage on regional and global water resources, this study concludes by highlighting the importance of water footprint assessment. In order to promote sustainable water management practices, it highlights the necessity of multidisciplinary collaboration and stakeholder involvement. Keyword: Water Footprint, Sustainability, Life Cycle Assessment, Spatial Analysis.","PeriodicalId":516932,"journal":{"name":"International Journal of Innovative Research in Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140663063","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

Investigation on Utilization of Medical Waste Ash in Concrete 关于在混凝土中利用医疗废灰的研究

International Journal of Innovative Research in Engineering Pub Date : 2024-04-18 DOI: 10.59256/ijire.20240502031

Sandeep Kumar Verma, Vipin Kumar

引用次数: 0

Exploring Cryptocurrency Market Trends Using Artificial Intelligence 利用人工智能探索加密货币市场趋势

International Journal of Innovative Research in Engineering Pub Date : 2024-04-16 DOI: 10.59256/ijire.20240502030

P. Gayatri, T. Ashish, B. Sankar, P. Evan Theodar, P. Srinivas Rao

{"title":"Exploring Cryptocurrency Market Trends Using Artificial Intelligence","authors":"P. Gayatri, T. Ashish, B. Sankar, P. Evan Theodar, P. Srinivas Rao","doi":"10.59256/ijire.20240502030","DOIUrl":"https://doi.org/10.59256/ijire.20240502030","url":null,"abstract":"Cryptocurrency has emerged as a transformative force in the financial realm, garnering widespread attention and acceptance. However, its dynamic nature and inherent uncertainties pose significant challenges for investors. This study delves into the factors shaping cryptocurrency value formation by harnessing the power of advanced artificial intelligence frameworks. Specifically, we employ fully connected Artificial Neural Network (ANN) and Long Short-Term Memory (LSTM) Recurrent Neural Network to analyze the price dynamics of prominent cryptocurrencies such as Bitcoin, Ethereum, and Ripple. Our research reveals that ANN tends to rely more heavily on long-term historical data, whereas LSTM exhibits a penchant for short-term dynamics. Interestingly, LSTM demonstrates superior efficiency in leveraging historical information, yet with adequate data, ANN can achieve comparable accuracy. Our findings shed light on the predictability of cryptocurrency market prices, albeit the interpretation may vary depending on the machine-learning model utilized. This study underscores the significance of leveraging artificial intelligence in comprehending and forecasting cryptocurrency market trends, thereby mitigating investment risks in this dynamic landscape. Keyword: Cryptocurrency, Artificial Intelligence, Market Trends, Price Dynamics, Bitcoin.","PeriodicalId":516932,"journal":{"name":"International Journal of Innovative Research in Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140697445","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

Empowering Nonverbal Communication: A Comprehensive Examination of Sign Language Recognition Systems and Implementation of Interpretation 增强非语言交流能力：手语识别系统和口译实施的综合研究

International Journal of Innovative Research in Engineering Pub Date : 2024-04-13 DOI: 10.59256/ijire.20240502029

Krishna A, Magan Lodhi, Khushi Jain, Navya A

{"title":"Empowering Nonverbal Communication: A Comprehensive Examination of Sign Language Recognition Systems and Implementation of Interpretation","authors":"Krishna A, Magan Lodhi, Khushi Jain, Navya A","doi":"10.59256/ijire.20240502029","DOIUrl":"https://doi.org/10.59256/ijire.20240502029","url":null,"abstract":"This paper provides a analysis of previous research on sign language recognition systems and their impact on Providing meaningful interaction among non-verbal individuals. It introduces a real-time sign language interpreter that translates text into gestures and vice-versa, accommodating regional sign languages and promoting personal expression. In a manner distinct from previous systems, it emphasizes individualization and includes text chat features for seamless communication. By enabling users to create and share their own gestures, it Promotes cultural diversity and authentic self-expression, promoting inclusivity and empowerment within the non-verbal community. This innovative solution also alleviates the pressure on non-verbal communication users to perform gestures in front of a camera for accurate recognition, addressing issues with outdated sign languages and the lack of personal sign gestures. Key Word: Sign Language Recognition, Text-to-sign Translation, Sign Language Interpreter, Sign Language Evolution, Recognition Models, Recognition Techniques.","PeriodicalId":516932,"journal":{"name":"International Journal of Innovative Research in Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140708373","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