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5th International Conference on Contemporary Computing and Informatics, IC3I 2022

作者： Kaushik, Keshav Negi, Rahul Dev, Prabhav University of Petroleum and Energy Studies School of Computer Science Dehradun India University of Petroleum and Energy Studies B.Tech Computer Science and Engineering Dehradun India

ISBN: (纸本)9798350398267

Some prominent instances have been centered on electronic warfare. For example, the American military has made significant investments in automation through UAV programs, only for competitors like the Iranians to create strategies to interfere with these systems. Iran managed to capture a top-secret U.S. surveil-lance drone by fooling it into descending in the incorrect place by jamming its control signals and providing it with bogus GPS data. In this paper, the authors have focused on the electronic warfare approach for deploying a software-based Wi-Fi jammer. The software-based Wi-Fi jammer can disconnect the targets using the DoS pursuit mode. The paper describes the unique methodology of how software can also be used for jamming wireless signals. © 2022 IEEE.

关键词： Wi-Fi

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Resonating Silence: Music Perception in the Deaf and Hard of Hearing

Resonating Silence: Music Perception in the Deaf and Hard of...

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IEEE UP Section Conference on Electrical computer and Electronics (UPCON)

作者： Mahak Garg Akanksha Yadav Kiran Singh B.Tech Computer Science and Engineering Galgotias University Greater Noida India School of Computer Science & Engineering Galgotias University Greater Noida India

ISBN: (数字)9798350378726

ISBN: (纸本)9798350378733

Music is traditionally considered an auditory experience; however, the perception of music by Deaf and hard-of-hearing individuals challenges this assumption. This paper examines how people who are Deaf engage with music through a multisensory approach, emphasizing vibration, touch, and visual elements. by analyzing data from the Frontier and Kaggle database, the study explores how hearing-impaired individuals interpret and emotionally respond to rhythmic vibrations. Participants, aged 10–40, interacted with a haptic device that produced both musical and non-musical vibrations. Age-based trends emerged: older participants often associated vibrations with musical instruments, while younger participants connected them to common household objects. Emotional responses varied, with younger individuals showing heightened excitement and older participants experiencing greater relaxation. Findings indicate that tactile rhythms can foster meaningful associations and emotions across age groups, providing insights into sensory-based musical experiences for those who are hearing-impaired. This paper synthesizes literature, case studies, and data from the Frontier database to highlight the various ways music can be felt and comprehended beyond hearing. by underscoring the holistic and multisensory dimensions of music, it argues for appreciating sound and music through a broader understanding of sensory experiences.

关键词： Vibrations Visualization Databases Instruments Music Auditory system Real-time systems Haptic interfaces Emotional responses Artificial intelligence

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An approach for exploiting and mitigating Log4J using Log4Shell vulnerability 3

An approach for exploiting and mitigating Log4J using Log4Sh...

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3rd International Conference on Computation, Automation and Knowledge Management, ICCAKM 2022

作者： Kaushik, Keshav Dass, Alpana Dhankhar, Ayush University of Petroleum and Energy Studies School of Computer Science Dehradun India University of Petroleum and Energy Studies Student B.Tech Computer Science and Engineering Dehradun India

ISBN: (数字)9781665453196

ISBN: (纸本)9781665453196

A new serious flaw has been discovered in log4j, a popular open-source tool used to produce logs within Java programs. The Log4Shell vulnerability, also referred as CVE-2021-44228, enables Remote Code Execution (RCE), enabling attackers to run obfuscated code on the host. A large number of programmes and businesses, including the well-known game Minecraft, employ the well-known utility log4j. Additionally, it is utilised in numerous commercial products as well as several Apache frameworks including Struts2, Kafka, Druid, and Flink. In this paper, the authors have used an approach to exploit the Log4Shell vulnerability and then provided the mitigation methods for the same. © 2022 IEEE.

关键词： Open source software

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Anti-Remote Disk Imaging: A Comprehensive Approach to Prevent Unauthorized Data Access

Anti-Remote Disk Imaging: A Comprehensive Approach to Preven...

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Data Science, Agents & Artificial Intelligence (ICDSAAI), International Conference on

作者： K. Venketesh M. Caleb Gunalan Manoj Hariharan R Rahul S Surender R Department of Computer Science and Engineering Kalasalingam Academy of Research and Education Tamilnadu India B.Tech Computer Science and Engineering Kalasalingam Academy of Research and Education Tamilnadu India

ISBN: (数字)9798331537555

ISBN: (纸本)9798331537562

Remote disk imaging is an emerging cybersecurity risk that compromises sensitive information integrity. Malicious actors exploit legitimate tools like dd and Clonezilla to clone and exfiltrate data remotely. This paper introduces a novel anti-remote disk imaging system that integrates process monitoring, dynamic firewall configurations, and full-disk encryption to mitigate unauthorized disk access. Unlike existing singular approaches, our unified solution offers real-time detection, prevention, and administrative alerts. Comparative analyses reveal that our tool outperforms existing techniques with a 92% effectiveness rate and an average response time of 3 seconds while maintaining low resource usage. These results highlight its practicality for safeguarding critical systems in resource-constrained environments. Remote disk imaging poses challenges such as real-time detection, resource constraints, and distinguishing between legitimate and malicious activities. Existing techniques, like full-disk encryption and firewall-based blocking, face limitations in adaptability and performance. This paper introduces a comprehensive system that addresses these challenges by integrating process monitoring, dynamic firewall configurations, and encryption to prevent unauthorized disk imaging.

关键词： Process monitoring Firewalls (computing) Prevention and mitigation Imaging Machine learning Real-time systems Software Encryption Time factors Information integrity

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Customer Analytics using Surveillance Video

arXiv

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arXiv 2025年

作者： Ijjina, Earnest Paul Joshi, Aniruddha Srinivas Kanahasabai, Goutham Priyanka, P. Keerthi Department of Computer Science and Engineering National Institute of Technology Warangal506004 India B.Tech Department of Computer Science and Engineering National Institute of Technology Warangal506004 India

The analysis of sales information, is a vital step in designing an effective marketing strategy. This work proposes a novel approach to analyse the shopping behaviour of customers to identify their purchase patterns. An extended version of the Multi-Cluster Overlapping k-Means Extension (MCOKE) algorithm with weighted k-Means algorithm is utilized to map customers to the garments of interest. The age & gender traits of the customer;the time spent and the expressions exhibited while selecting garments for purchase, are utilized to associate a customer or a group of customers to a garments they are interested in. Such study on the customer base of a retail business, may help in inferring the products of interest of their consumers, and enable them in developing effective business strategies, thus ensuring customer satisfaction, loyalty, increased sales and profits. Copyright © 2025, The Authors. All rights reserved.

关键词： Sales

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Dynamic Website Authentication Using Time-based One-Time Password (TOTP) for Enhanced Security

Dynamic Website Authentication Using Time-Based One-Time Pas...

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Data Science, Agents & Artificial Intelligence (ICDSAAI), International Conference on

作者： M Caleb Gunalan bavani K Mathew Hayden Manoj Hariharan R Rahul S B.Tech Computer Science and Engineering Kalasalingam Academy of Research and Education Krishnankoil Tamilnadu India Department of Computer Science and Engineering Kalasalingam Academy of Research and Education Krishnankoil Tamilnadu India

ISBN: (数字)9798331537555

ISBN: (纸本)9798331537562

In today's digital landscape, the proliferation of fake websites poses significant threats to user security, trust, and data integrity. This paper presents a novel solution to address this issue through the implementation of a dynamic website authentication system using Time-based One-Time Password (TOTP) verification. The system allows websites to register securely with a central authentication server, generating unique TOTP codes that users can verify to determine the authenticity of the website. Website owners are issued a secret key upon registration, which is used to generate TOTP codes that refresh every 30 seconds. This project emphasizes user-friendly verification mechanisms and secure key management to protect users from phishing attacks. The system architecture, implementation, and potential applications are discussed, along with future directions for integrating multi-factor authentication and expanding security features.

关键词： Codes Multi-factor authentication Phishing Prevention and mitigation Data integrity Systems architecture Passwords QR codes Registers Servers

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Text recognition by air drawing 4

Text recognition by air drawing

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4th International Conference on Computational Intelligence and Communication technologies, CCICT 2021

作者： Patel, Jay Mehta, Umang Panchal, Kevin Tailor, Dev Zanzmera, Devam Pandit Deendayal Energy University B.Tech in Computer Science and Engineering Gandhinagar India

ISBN: (纸本)9781665423922

In this paper, the text drawn by the user in the air is captured by the computer's camera, followed by the identification of that text. So, the video camera will be turned on at the time of capturing the written text. Now the particular object is defined based on its colour to detect a movement done by the user. The colour is captured by the lower and upper bound of HSV (Hue Saturation Value), which finally leads to object detection at every instant. Lastly, the text will be recognized by the trained model. The model is trained by CNN (Convolution Neural Network) with an accuracy of 98.64% (training) and 98.24% (testing). For completion of the project, OpenCV, python programming language, and its libraries are used. This project requires only a camera and a defined object. © 2021 IEEE.

关键词： Python

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A Novel Mobile Application to Empower Visually Impaired Individuals to Perform Independent Day-to-Day Activities

A Novel Mobile Application to Empower Visually Impaired Indi...

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International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)

作者： Dewanshi Paul Ankit Kumar Patel Dhanush R Amutha S B.Tech Electronics and Computer Engineering School of Electronics Engineering Vellore Institute of Technology Chennai India School of Electronics Engineering Vellore Institute of Technology Chennai India School of Computer Science and Engineering Vellore Institute of Technology Chennai India

ISBN: (数字)9798350376425

ISBN: (纸本)9798350376432

People with visual impairments struggle or require assistance from others to perform day-to-day activities. Hence, people with visual impairments suffer from a lack of independence and quality of life. For this purpose, the app proposed in the paper is a unique, creative, innovative mobile application that will aid people with visual impairments in becoming independent and improving their quality of life. This paper introduces the novel mobile application’s three key features: QR (Quick Response) code scanning, OCR (Object Character Recognition), and an Indoor Object Navigation System. The QR code scanning feature allows users to make informed decisions quickly by providing comprehensive information about products or their environment. The OCR functionality reads out the printed text aloud and helps the users understand written content with the help of audio. The indoor object finder or navigation system is a noteworthy advancement in Assistive technology. The system allows users to select a target object and then move their camera around their surroundings; once the object is detected, the app provides voice instructions about the directions of the target object to guide users towards it. by integrating these complex technologies, the novel mobile application provides an innovative approach to some of the issues encountered by those with visual impairments. The application aims to increase user independence, improve functionality, and build confidence to improve their daily experiences and engagements with the world around them.

关键词： Indoor navigation Visual impairment Optical character recognition QR codes Streaming media Cameras Real-time systems Mobile applications Text to speech Character recognition

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Deep Learning for Glioblastoma Subtyping: Leveraging DenseNet-201 in brain Tumor Radiogenomic Classification

Deep Learning for Glioblastoma Subtyping: Leveraging DenseNe...

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Cognitive Robotics and Intelligent Systems (ICC - RObINS), International Conference on

作者： S. Alvin Jesuraj S. V. Evangelin Sonia C. P. Shirley B.Tech Computer Science and Engineering Karunya Institute of Technology and Sciences Coimbatore Tamil Nadu India Karunya Institute of Technology and Sciences Coimbatore Tamil Nadu India

ISBN: (数字)9798350372748

ISBN: (纸本)9798350372755

This research investigates the application of DenseNet-201, a deep convolutional neural network architecture, in the RSNA-MICCAI brain Tumor Radiogenomic Classification aimed at predicting the genetic subtype of glioblastoma using MRI imaging data. This study demonstrates the effectiveness of DenseNet-201 in accurately classifying glioblastoma cases based on MGMT promoter methylation status, a critical biomarker influencing treatment outcomes. Through comprehensive experimental evaluations, including training, validation, and testing phases, DenseNet-201 exhibits robust performance metrics such as high accuracy, precision, recall, F1-score, and AUC-ROC values. These results highlight the model's ability to effectively distinguish between MGMT promoter methylation-positive and negative glioblastoma cases, offering valuable support for clinical decision-making in treatment planning and prognosis assessment. Leveraging deep learning techniques and MRI imaging data, DenseNet-201 holds promise as a powerful tool for enhancing the understanding of glioblastoma genetics and guiding personalized therapeutic interventions, ultimately contributing to improved patient outcomes in brain cancer management.

关键词： Deep learning Training Magnetic resonance imaging Medical services Genetics Planning Prognostics and health management

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Implementing blockchain based Security in EHR Using Ganache

Implementing Blockchain Based Security in EHR Using Ganache

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International Conference on Contemporary Computing and Informatics (IC3I)

作者： Kumar Satyam Ayush Sharma Runumi Devi B.Tech in Computer Science and Engineering Galgotias University Greater Noida Uttar Pradesh India Department of Computer Science and Engineering Galgotias University Greater Noida Uttar Pradesh India

A blockchain-based electronic health record (EHR) system has been proposed to manage patient data and maintain computerized records across different healthcare institutions. The main objective of this system is to provide immediate access to patient health information while addressing concerns about privacy and security. It is developed on the Ethereum network using programming languages, tools, and technologies such as Ganache, Solidity, and ***. The system uses smart contracts to provide security and privacy, and transactions are verified and propagated to the entire decentralized network. The system includes a cryptocurrency wallet (MetaMask) with a centralized privacy system that allows authorized parties to access and secure records quickly. The proposed system aims to achieve several objectives such as allowing users to receive the same data simultaneously, increasing efficiency, building trust, and reducing barriers. It secures data storage by restricting user access and enables the secure transfer of patient medical records. The solution allows for better transparency and ownership of sensitive data, which can be recorded and safeguarded via blockchain technology, therefore assisting the healthcare sector. This paper describes a medical record system and a new protocol that can be used quickly and safely, paving the way for more secure and efficient healthcare systems. Overall, the proposed system offers potential solutions to the challenges associated with traditional EHR systems and has the potential to revolutionize the healthcare industry.

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