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3rd International Conference on Pervasive Computing and Social Networking, ICPCSN 2023

作者： Babu, C.Naveeth Kathiresan, V. Gomathi, R. Karthik, R. Priya, S.Sugantha Kumar, S.Senthil Department of Computer Science Bangalore560077 India Chinnakarai Tiruppur India Coimbatore641 035 India Sri Krishna Adithya College of Arts and Science Department of Computer Applications Coimbatore640142 India Dr Sns Rajalakshmi College of Arts and Science Department of Computer Science India Department of Information Technology Coimbatore India

ISBN: (纸本)9798350322842

Sensing devices on the human chest are linked through the Internet of Medical Things (IoMT) to remotely monitor health data on multiple dimensions, including physiological and behavioural impulses. IoMT devices in clinical use cloud computing to generate enormous volumes of data supplemented by portable equipment's insufficient memory and computational power. An IoMT-based healthcare diagnosis model will be developed using a deep learning methodology. It is the driving force behind the development of a new IoMT-based medical system for the early detection of breast cancer (BC) using a Deep Convolutional Neural Network with Long Short-Term Memory (DeepCNN-LSTM). The suggested DeepCNN-LSTM model yielded significant gains in accuracy, recall, F-measure, and recall, as demonstrated in the extensive experimental investigation. © 2023 IEEE.

关键词： Long short-term memory

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Distributed File Systems for Cloud Storage Design and Evolution 1

Distributed File Systems for Cloud Storage Design and Evolut...

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1st International Conference on Advances in Electrical, Electronics and Computational Intelligence, ICAEECI 2023

作者： Sabitha, R. Sydulu, Sk. John Karthik, S. Kavitha, M.S. SNS College of Technology Department of Computer Science and Engineering Coimbatore India

ISBN: (纸本)9798350342796

This paper deals the scalable, flexible, and cost-effective solutions. Distributed file systems play a crucial role in the design and evolution of cloud storage systems, enabling across multiple servers and data centers. This research paper explores the design principles, key components, and evolution of distributed file systems in the context of cloud storage. We examine the challenges faced by distributed file systems, explore their evolution over time, and discuss emerging trends and future directions in this field. © 2023 IEEE.

关键词： Cloud storage design Distributed file systems evolution over time

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Criminal Identification Based On Database Management Using Blockchain 4

Criminal Identification Based On Database Management Using B...

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4th International Conference on Power, Energy, Control and Transmission Systems, ICPECTS 2024

作者： Suganya, R. Ashok, P. Lekshitha, J. Shanmuga Priya, S. Monica, K. Somasundaram, K. Sri Sai Ram Institute of Technology Department of Computer Science and Engineering Chennai India Saveetha Engineering College Department of Artificial Intelligence and Data Science Chennai India Sri Muthukumaran Institute of Technology Department of Computer Science and Engineering Chennai India

ISBN: (数字)9798331508845

ISBN: (纸本)9798331508845

The crime monitoring system is a unique and authentic project which functions with the concepts of block chain language. Blockchain technology has the potential to revolutionize the management of criminal records by providing a secure network where documents are readily accessible and immune to tampering. This innovation ensures the safety and integrity of sensitive information, offering a robust solution to the challenges posed by traditional recordkeeping system. The basic use of the crime identification system is to maintain and process the criminal records and data that are given by the user. This can be used in the security system during the arrival of dignitary people for the occasional events by recognizing the people based upon the criminal records. Thus, criminals are restricted from entering inside the event. This can also be embedded for the security cameras of the event and are constantly monitored. © 2024 IEEE.

关键词： Records management

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Hybrid Cloud Security by Revocable KUNodes-Storage with Identity-Based Encryption

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computer Systems science & Engineering 2022年第12期43卷 985-996页

作者： S.Saravanakumar S.Chitra Department of Information Technology Paavai Engineering CollegeNamakkal637018India Department of Computer Science and Engineering Er.Perumal Manimekalai College of EngineeringHosur63117India

Cloud storage is a service involving cloud service providers providingstorage space to customers. Cloud storage services have numerous advantages,including convenience, high computation, and capacity, thereby attracting usersto outsource data in the cloud. However, users outsource data directly via cloudstage services that are unsafe when outsourcing data is sensitive for users. Therefore, cipher text-policy attribute-based encryption is a promising cryptographicsolution in a cloud environment, and can be drawn up for access control by dataowners (DO) to define access policy. Unfortunately, an outsourced architectureapplied with attribute-based encryption introduces numerous challenges, including revocation. This issue is a threat to the data security of DO. Furthermore,highly secure and flexible cipher text-based attribute access control with role hierarchy user grouping in cloud storage is implemented by extending the KUNodes(revocation) storage identity-based encryption. Result is evaluated using Cloudsim, and our algorithm outperforms in terms of computational cost by consuming32 MB for 150-MB files.

关键词： Cloud computing storage identification based revocation attribute based access control encryption decryption

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AYURA – AYURVEDIC DIET APP 2

AYURA – AYURVEDIC DIET APP

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2nd International Conference on Advancements in Electrical, Electronics, Communication, Computing and Automation, ICAECA 2023

作者： Shanmathi, M. Arage, Bhavika Premchand Praveena, R. Department of Computer Science Engineering Kumaraguru College of Technology Coimbatore India

ISBN: (纸本)9798350306811

Ayurveda, a system of complementary medicine that has been used for centuries in India, aids in the early treatment of illnesses. Ayurvedic practitioners hold that space, air, fire, water, and earth are the five fundamental components that make up the universe. Three life forces or energies known as doshas are created when these unite in the human body. It manages how a body functions. They are the Pitta (fire and water), Vata (space and air), and Kapha doshas (water and earth). One can identify the dosha using an online programme and can also recommend foods to balance it. The physiological (physical traits, looks, and digestion) and psychological factors will be considered by the application to identify the dosha imbalance. © 2023 IEEE.

关键词： Earth (planet)

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An Analysis of Security Challenges in Internet of Things (IoT) based Smart Homes 2

An Analysis of Security Challenges in Internet of Things (Io...

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2nd International Conference on Electronics and Renewable Systems, ICEARS 2023

作者： Joel, M. Robinson Manikandan, G. Bhuvaneswari, G. Kings Engineering College Department of Information Technology Chennai India Loyola Institute of Technology Department of Computer Science and Engineering Chennai India

ISBN: (纸本)9798350346640

The term "Internet of things (IoT) security"refers to the software industry concerned with protecting the IoT and connected devices. Internet of Things (IoT) is a network of devices connected with computers, sensors, actuators, or users. In IoT, each device has a distinct identity and is required to automatically transmit data over the network. Allowing computers to connect to the Internet exposes them to a number of major vulnerabilities if they are not properly secured. IoT security concerns must be monitored and analyzed to ensure the proper working of IoT models. Protecting personal safety while ensuring accessibility is the main objective of IoT security. This article has surveyed some of the methods and techniques used to secure data. Accuracy, precision, recall, f1 score, and area under the Receiver Operating Characteristic Curve are the assessment metrics utilized to compare the performance of the existing techniques. Further the utilization of machine learning algorithms like Decision Tree, Random Forest, and ANN tests have resulted in an accuracy of 99.4%. Despite the results, Random Forest (RF) performs significantly better. This study will help to gain more knowledge on the smart home automation and its security challenges. © 2023 IEEE.

关键词： Internet of things

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A Clustering-Based 3D Localization in Wireless Sensor Networks Using RSSI and AoA

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SN computer science 2023年第5期4卷 1-23页

作者： Wajgi, Dipak W. Tembhurne, Jitendra V. Department of Computer Science and Engineering Indian Institute of Information Technology Maharashtra Nagpur 441108 India Department of Computer Engineering St. Vincent Pallotti College of Engineering and Technology Maharashtra Nagpur 441108 India

Localization in wireless sensor network (WSN) is an important issue since it helps to find the origin of the event. Many localization algorithms have been proposed and are efficient up to certain extent. Energy efficient and low cost 3D localization algorithm in wireless sensor networks is still a big challenge. Accuracy of location estimation with minimum computational complexity is the main objective of the localization algorithm. In this paper, we propose the clustering-based localization algorithm for 3D environment which is energy efficient and has less computational complexity. The sensor nodes are grouped in a cluster which is based on the received signal strength at the respective anchor nodes. The nearest neighbor clustering algorithm is formulated for forming the clusters. The anchor nodes act as the cluster heads. The distance information from received signal strength indicator (RSSI) along with the angle of arrival (AoA) information is combined to estimate the location of the cluster members creating the local map. The energy dissipation in the proposed approach can be reduced by adopting the density control strategy. The simulation results show that the proposed approach performs better as compared to the PSO, BBO, and FA in terms of localization error. © 2023, The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd.

关键词： Angle of arrival Clustering Density control Energy efficiency Localization RSSI WSN

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Security in the Age of Deepfakes: Detecting Manipulated Media with Neural Networks 1

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8th International Conference on information System Design and Intelligent Applications, ISDIA 2024

作者： Phatale, Utkarsh Limkar, Suresh Department of Computer Engineering AISSMS Institute of Information Technology Maharashtra Pune India Department of Computer Science and Engineering Central University of Jammu Jammu and Kashmir India

ISBN: (数字)9789819748921

ISBN: (纸本)9789819748914

The proliferation of deep fake technology presents a substantial peril to both individuals and society, underscoring the urgent requirement for the development of effective deep fake detection techniques. This study introduces a novel methodology that combines convolutional neural networks (CNNs) and deep convolutional generative adversarial networks (DCGANs) in order to improve the detection of deep fake videos. In this study, we present the findings of our research, which involved a comparative analysis of the CNN, recurrent neural network (RNN), and CNN-DCGAN models. The performance evaluation was conducted based on several metrics, including accuracy, sensitivity, specificity, Matthews correlation coefficient (MCC), and Cohen’s Kappa. The accuracy of the DCGAN model reached 99.2%, establishing a benchmark for comparative analysis. Although the CNN and RNN models demonstrate satisfactory performance, the hybrid approach of CNN-DCGAN surpasses them in various metrics, thereby showcasing its potential for effective identification of deep fakes. This study emphasizes the efficacy of integrating convolutional neural networks (CNNs) for extracting features and deep convolutional generative adversarial networks (DCGANs) for generating synthetic data. This advancement holds promise for the development of more sophisticated and dependable deep fake detection systems, particularly in a time where the risk of manipulated media is escalating. © The Author(s).

关键词： Generative adversarial networks

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A Secure and Reliable Supply chain management approach integrated with IoT and Blockchain 2

A Secure and Reliable Supply chain management approach integ...

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2nd International Conference on Business Analytics for technology and Security, ICBATS 2023

作者： Ashraf, Humaira Hanif, Maria Ihsan, Uswa Al-Quayed, Fatima Humayun, Mamoona Jhanjhi, N.Z. International Islamic University Islamabad Department of Computer Science and Software Engineering Islamabad Pakistan Jouf University College of Computer and Information Sciences Department of Computer Science Sakakah Saudi Arabia Jouf University College of Computer and Information Sciences Department of Information Systems Sakakah Saudi Arabia Malaysia Applied Science Research Center Applied Science Private University Amman11937 Jordan

ISBN: (纸本)9798350335644

Nowadays, secure and reliable management of logistics is highly needed. Logistics is the delivery of goods from producers to legitimate consumers in accurate amounts and good conditions. The use of low-capable sensor nodes in smart logistics makes it vulnerable to many security threats. Smart logistics necessitated the delivery of suitable information to the authorized person at the appropriate time and place, which is only feasible with a stable infrastructure. This paper presents an authentication scheme together with blockchain technology to provide a secure supply chain management system. The presented authentication mechanism is based on standard KERBOROS scheme which is a ticket-based scheme. The scheme is evaluated by BAN logic which shows that it is an effective scheme in terms of improved response time and encryption/decryption time along with key generation time. © 2023 IEEE.

关键词： Supply chain management

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Session Recording in Android 2

Session Recording in Android

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2nd International Conference on Advancements in Electrical, Electronics, Communication, Computing and Automation, ICAECA 2023

作者： Aswini, D. Ameenul, Marsook R. Department of Computer Science and Engineering Kumaraguru College of Technology Coimbatore India

ISBN: (纸本)9798350306811

Session recording is a valuable tool for developers to gain insights into user behavior in mobile applications. Android, as the most commonly used mobile operating system, offers developers several options for implementing session recording. This paper provides an overview of session recording on Android, outlining its benefits, implementation, and potential privacy concerns. By recording and analyzing user sessions, developers can gain a better understanding of which features are most frequently used and where users may be experiencing difficulties. However, privacy concerns can arise with session recording, and developers must be transparent about their use of it and comply with relevant privacy regulations. This study suggests a native implementation of session recording without the use of third-party services, giving organizations complete control over their data and helping to address privacy concerns. Additionally, the study covers performance metrics that are most appropriate for user-friendly session recording. © 2023 IEEE.

关键词： Android (operating system)

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