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SEEMA: An Automation Framework for Vulnerability Assessement and Penetration Testing 2

SEEMA: An Automation Framework for Vulnerability Assessement...

2nd IEEE International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies, ViTECoN 2023

作者： Tyagi, Yash Shekhar, Shubham Abhishek, P. Bhardwaj, Shweta Amity School of Engineering and Technology Amity University Department of Computer Science and Engineering Uttar Pradesh Noida India

ISBN: (纸本)9798350347982

The world has witnessed an exponential increase in the number of Internet Connected computers due to various causes. This exponential increase and the resulting dependence have had far reaching cybersecurity implications. The primary implication being exponential rise in cybercrime which necessitates the vulnerability assessment and penetration testing (VAPT). The vulnerability assessment and penetration testing aids in offsetting any liability associated with a successful attack on an organization's asset. The current frameworks and tool available for VAPT require very high expert knowledge and are predominantly manual. Moreover, some tools available automate only certain phases of VAPT but not the whole process. This mismatch provides the opportunity to create a solution by automating the whole process while lowering the knowledge threshold. Thus, this paper provides a revamped automated framework for a novice individual and a cybersecurity professional's use. It also provides a framework for commercial use which leverages multi-agent system and certain aspects of full stack monitoring. © 2023 IEEE.

关键词： Multi agent systems

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Movie Recommendation System Using Machine Learning and MERN Stack

Movie Recommendation System Using Machine Learning and MERN ...

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International Conference on Data Analytics and Management, ICDAM 2022

作者： Gupta, Shikhar Rawat, Dhruv Gupta, Kanishk Yadav, Ashok Kumar Gandhi, Rashmi Gupta, Aakanshi Department of Computer Science and Engineering Amity School of Engineering and Technology Amity University Uttar Pradesh Noida India

ISBN: (纸本)9789811976148

The entertainment industry is booming, and machine learning is playing a vital role in the technical world. Content consumption habits are growing more complicated and evolving at a faster rate than ever before. Machine learning-based recommendation systems forms self-sufficient system which learn from their experiences and improve without having to be explicitly coded. It is a mechanism that allows a user to find information that is relevant to him or her from huge amounts of data. Every entertainment company uses a complex recommendation algorithm to display meaningful content to a user based on his preferences. It helps them to increase their sales and retain their user base. Movie recommendations systems have various approaches such as collaborative filtering (CF) which compares users for similarity of content consumption or content-based filtering which uses the movie’s features such as year of release, genre, and actors. A hybrid approach incorporates two or more different approaches of movie recommendation. We present a solution in this paper of movie recommendation system architecture that uses MERN stack and ML and handles the cold-start problem. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Collaborative filtering

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Detection and Classification of Bone Fracture Using Digital Image Processing 10

Detection and Classification of Bone Fracture Using Digital ...

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10th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and computer engineering, UPCON 2023

作者： Makwane, Simran Kiran, Anjali Bhardwaj, Shweta Amity School of Engineering and Technology Amity University Department of Computer Science and Engineering Uttar Pradesh Noida India

ISBN: (纸本)9798350382471

This research paper presents an innovative approach for automated bone fracture discovery and bracket using digital image processing ways and the Scale Invariant point Transform (SIFT) algorithm. The proposed system excerpts distinctive original features from radiographic images, enabling robust identification of fracture patterns. Through a multi-step process, including pre-processing, point birth, and bracket, the system achieves high delicacy in differencing between colourful fracture types. Experimental results demonstrate the effectiveness of the system on a different dataset, showcasing its eventuality for enhancing clinical diagnostics and expediting treatment planning. This exploration contributes to the advancement of computer- backed medical imaging systems, offering a promising tool for accurate and effective fracture opinion. © 2023 IEEE.

关键词： classification Digital Image processing fracture Machine learning SIFT X-ray

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Development of Cloud based Smart Voice Assistant using Amazon Web Services 2

Development of Cloud based Smart Voice Assistant using Amazo...

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2nd International Conference on Applied Artificial Intelligence and Computing, ICAAIC 2023

作者： Chauhan, Shambhavi Arora, Deepak Amity School of Engineering and Technology Lucknow Amity University Department of Computer Science and Engineering Uttar Pradesh India

ISBN: (纸本)9781665456302

Voice assistants can interpret what the user is most likely to want by deciphering questions that have been framed in a variety of different ways. Natural language interfaces are the predominant emphasis of voice assistants using AWS. The product category has come to be defined by the personal assistants that can communicate in own language and on a human level. The distribution of assistants to various computer devices has been affected by this emphasis on natural language interface. Finally, there are countless opportunities to enhance the Software. The proposed work conducted thorough a review of recent literature for this paper. This study looked at a number of articles from the past three years that discuss the use of voice assistants in the healthcare industry. Finally, the paper presented a web application called 'Medico' which is a smart voice assistant with its applications in the medical sciences. It is an application created with Neo4j and AWS services connected. The primary motivation for creating this application was to use a smart voice assistant to help patients with their questions. While doctors can inquire about patients' medical history, including past ICU visits, diagnoses, and treatments received, individuals can only access their own medical information and not those of others. In addition, using the Neo4j Graph Data science Library, 'Medico' may make basic treatment recommendations for specific patients. © 2023 IEEE.

关键词： Speech recognition

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Efficient Vulnerability Assessment and Penetration Testing: A Framework for Automation

Efficient Vulnerability Assessment and Penetration Testing: ...

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2023 International Conference on Computational Intelligence and Sustainable engineering Solution, CISES 2023

作者： Tyagi, Yash Bhardwaj, Shweta Shekhar, Shubham Abhishek, P. Amity School of Engineering and Technology Amity University Department of Computer Science and Engineering Uttar Pradesh Noida India

ISBN: (纸本)9798350323917

Due to a variety of factors, the number of computers connected to the internet has been growing exponentially. The dependence that resulted from this exponential growth has profound cybersecurity consequences. The main implication is that cybercrime is increasing exponentially, making vulnerability assessment and penetration testing (VAPT) necessary. Penetration testing and vulnerability assessment can balance any responsibility connected with a successful attack on an organization's assets. The present frameworks and tools for VAPT are primarily manual and demand very high specialist knowledge. Additionally, several systems on the market only automate specific VAPT processes, not the entire procedure. This discrepancy offers the chance to develop a solution by fully automating the procedure while minimizing the required level of knowledge. As a result, this paper offers an updated automated system for usage by both beginners and cybersecurity experts. Additionally, it offers a framework for business use that makes use of multi-agent systems and some elements of full stack monitoring. © 2023 IEEE.

关键词： Multi agent systems

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Analytical Approach of Machine Learning for Prediction Models 6

Analytical Approach of Machine Learning for Prediction Model...

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6th International Conference on Contemporary Computing and Informatics, IC3I 2023

作者： Kumar, Mohit Dubey, Sanjay Kumar Amity School of Engineering and Technology Department of Computer Science and Engineering Amity University Uttar Pradesh Noida India

ISBN: (纸本)9798350304480

With the increasing availability of data, machine learning (ML) predictive models have become a popular tool for making informed decisions in various fields. However, choosing suitable algorithms and techniques to develop accurate forecasting models is a challenging task. In this study, we aim to compare different ML algorithms and methods to develop accurate prediction models. We analyzed the results to determine the most effective approach to developing accurate forecasting models. In addition, we investigated the effect of hyperparameter tuning on the performance of this model. The results of this study can provide valuable insights for practitioners and researchers in choosing the most appropriate machine learning algorithms and methods to develop accurate prediction models. Our study shows the impact of choosing the right features and choosing the method of data pre-processing and hyperparameter tuning on model performance. Finally, our results can inform the design of more accurate prediction models and contribute to the development of the field of machine learning. © 2023 IEEE.

关键词： decision-tree machine learning neural network regression

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Creativity: Mining of Innovative Thinking Using Educational Data

Creativity: Mining of Innovative Thinking Using Educational ...

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2023 International Conference on Disruptive Technologies, ICDT 2023

作者： Ritambhara Singh, Shailendra Narayan Amity University Computer Science & Engineering Utter Pradesh Noida India Amity University Amity School of Engineering and Technology Department of Computer Science & Engineering Utter Pradesh Noida India

ISBN: (纸本)9798350323887

Innovation i.e., the process of new ideas that are useful or effective in different types of domains. Innovation should be taught in schools, homes, and other extra places. Innovative will be increased or improved with the help of Education Data Mining (EDM), which will improve the quality of Information. By employing BERT- type, objectives are to train representation from sequence process data, then fine-tunes these representations on subsequent prediction tasks, by WEKA and machine learning algorithms. In addition, we investigated students' performance in exams using machine learning and symmetry-based learning algorithms. This article highly predicts female students pass more than boys students. © 2023 IEEE.

关键词： Learning algorithms

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Building a Chatbot using Natural Language Processing 2

Building a Chatbot using Natural Language Processing

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2nd International Conference on Informatics, ICI 2023

作者： Sehgal, Uday Bhardwaj, Shweta Amity University Uttar Pradesh Amity School of Engineering and Technology Department of Computer Science and Engineering Noida India

ISBN: (纸本)9798350343830

Chatbots are applications which simulate human conversational patterns, engage in human-to-human communication, and respond to user queries using data from their training set. There are two categories of chatbots: rule-based and self-learning. One of the beneficial things a company or organisation may have is a chatbot. They can be utilised for customer service and query resolution in many different industries. In this paper, research is done on NLP and a model is designed to build a chatbot using NLP techniques. The chatbot built using this model can be used as a normal conversation bot or as a customer support tool. © 2023 IEEE.

关键词： Natural language processing systems

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Maximizing user retention with machine learning enabled 6G channel allocation

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International Journal of Information technology (Singapore) 2023年第4期15卷 2225-2231页

作者： Singh, Pushpa Agrawal, Rajeev Singh, Krishna Kant Department of Computer Science and Engineering GL Bajaj Institute of Technology and Management Greater Noida India Department of Computer Science & Engineering Lloyd Institute of Engineering and Technology Greater Noida India Department of Computer Science and Engineering Amity School of Engineering and Technology Amity University Uttar Pradesh Noida India

The paper proposes a machine learning-based user retention technique for the 6G network by identifying and classifying loyal users using supervised machine learning algorithms such as Decision Tree, K-Nearest Neighbor, and Support Vector Machine. The study also suggests a threshold-based channel allocation method to allocate network resources primarily to loyal users. The performance of the proposed algorithm is evaluated using SimPy simulation, and the results show that loyal users experience minimum average waiting time and no call drops compared to normal and recent users. The paper highlights the need for new schemes and policies to retain valuable users and proposes a novel approach that leverages machine learning techniques and 6G aspects to achieve this objective. The proposed algorithm's effectiveness is demonstrated through simulation, which provides useful insights into its performance under different network conditions. The research contributes to the ongoing efforts to enhance user experience in the rapidly evolving field of mobile communication networks. © 2023, The Author(s), under exclusive licence to Bharati Vidyapeeth's Institute of computer Applications and Management.

关键词： 6G Channel Loyal user Machine learning Retention Wireless network

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Medi-Connect: An End-to-End Intelligent Framework to Facilitate New Era Online Consultations Toward Sustainable Healthcare 5th

Medi-Connect: An End-to-End Intelligent Framework to Facilit...

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5th International Conference on Entrepreneurship, Innovation, and Leadership, ICEIL 2023

作者： Yadav, Jayash Raj Singh Jain, Paras Sharma, Shanu Dubey, Ashwani Kumar Department of Computer Science and Engineering ABES Engineering College Ghaziabad India Department of Electronics and Communication Engineering Amity School of Engineering and Technology Amity University Uttar Pradesh Noida India

ISBN: (纸本)9789819716814

The healthcare industry has undergone a significant transformation in recent years, with the integration of information technology and online platforms revolutionizing the way medical services are delivered. One such development is the emergence of online consultations, enabling patients to seek medical advice from doctors without the need for in-person visits. The increasing popularity of online consultations in the healthcare industry has highlighted the need for efficient systems to support remote medical services. In this paper, an intelligent framework is proposed to assist patients and doctors during online consultations. The framework offers end-to-end services starting from patient registration, doctors’ availability, the online appointment of doctors, etc., required during an online consultation. The proposed framework is also capable of assisting the doctors during diagnosis of diseases and drug recommendation through intelligent decision-making capability based on the symptoms provided by the patient. The use of the Naïve Bayes algorithm is explored here to perform classification on patient data and the determination of the probability of specific diseases. In addition to accurate diagnoses, the system recommends appropriate medicinal treatments and provides a database of specialist doctors for further consultation. This integration of technology and health expertise seeks to streamline the healthcare process, saving time and reducing costs for both patients and doctors. By presenting a streamlined framework for online consultations, the main aim of this work is to contribute to the advancement of virtual healthcare services and to bridge the gap between traditional healthcare practices and the evolving digital landscape, ultimately improving healthcare accessibility and outcomes for patients worldwide. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Diagnosis

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