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Modified Blowfish Encryption Standard with Optimization Strategy for Secured Cloud Storage with Data Dynamics

Modified Blowfish Encryption Standard with Optimization Stra...

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Information technology, Electronics and Intelligent Communication Systems (ICITEICS), IEEE International Conference on

作者： Prabhdeep Singh Pawan Singh Abhay Kumar Agarwal Anil Kumar Computer Science and Engineering Amity School of Engineering and Technology Lucknow India Computer Science and Engineering Kamla Nehru Institute of Technology Suitanpur India Amity School of Engineering and Technology Lucknow Amity University Uttar Pradesh India

ISBN: (数字)9798350382693

ISBN: (纸本)9798350382709

Organizations and individuals can store, transport, and backup a rising quantity of data at an affordable cost through the assistance of cloud storage service providers, who also give them access to other cloud services. Cloud service providers use the most popular separation approach to offer effective data storage as it reduces upload capacity and storage expenses by allowing the storage of only one instance of data while eliminating multiple copies. When customers upload data to the cloud, their primary concerns are related to data security, integrity, privacy, and confidentiality. It is not advised to use traditional encryption, which is typically used to encrypt data when outsourcing, since it interferes with the data dynamics technique. This study suggested a new security architecture for cloud data storage using modified blowfish encryption to rectify these kinds of problems. Secure storage, outsourcing, and the proxy-re-encryption phase are the three stages. During the secure storage phase, a modified version of the blowfish technique is suggested for data encryption. The Kookaburra optimization algorithm is utilized for obtaining the optimal key. Auditing, proof, verification, File Access request, and file download are the five processes that occur throughout the outsourcing phase. Ultimately, the final stage of the suggested work is proxy re-encryption. In this case, the data user requests a key for a proxy, where the data owner has already transmitted the encrypted data key and the proxy provides the data user access to the encoded key. Lastly, a comparison of the suggested approach with various security methods validates its superiority.

关键词： Cloud computing Heuristic algorithms Memory Organizations Encryption Outsourcing Information technology

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Comparative analysis of different mining approaches for Blockchain in infant care application on IoT 5

Comparative analysis of different mining approaches for Bloc...

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5th International Conference on Information Systems and computer Networks, ISCON 2021

作者： Pandey, Happy Singh, Yajush Pratap Singh, Yashwant Singh, Prabhishek Diwakar, Manoj Pandey, Neeraj Kumar Amity University Amity School of Engineering Technology Department of Computer Science Engineering Uttar Pradesh Noida India Department of Computer Science Engineering Uttarakhand Dehradun India DIT University Department of Computer Science Engineering Dehradun India

ISBN: (纸本)9781665403412

Ambient means environmental elements, helped living means the kind of houses inserted with innovations that assistance in regular daily existences, in an entire it implies the utilization of environmental elements advancements to improve living and autonomous without hindering other individual life. Ambient Assisted Living (AAL) is a subclass of Ambient understanding, which concerns the use of incorporating savvy strategies, systems and advances to enable people to live uninhibitedly for a long as could be anticipated in light of the current situation, without intrusive practices. In this exploration work has been made to do relative investigation between two distinct agreement calculation verification of work and confirmation of stake in Blockchain utilizing python for information gathered and put away of elements temperature, second, moistness, pressing factor, sound and light. The time taken to mine a square in the verification of stake is less contrasted with the time taken to mine a square in confirmation of work which is putting away information of elements influencing the independence of an individual. This review assists with recognizing the most reasonable agreement calculation to store information in Blockchain. © 2021 IEEE.

关键词： Blockchain

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Investigating the Relationships Between Smoking, Anxiety, and Psychological Distress via SPSS Analysis 3rd

Investigating the Relationships Between Smoking, Anxiety, an...

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3rd International Conference on Universal Threats in Expert Applications and Solutions, UNI-TEAS 2024

作者： Bansal, Devyanshi Sharma, Sudiksha Das, Nripendra Narayan Jain, Ranjna Kumar, Praveen Department of Computer Science and Engineering Amity School of Engineering and Technology Noida India Department of Information Technology Manipal University Jaipur Rajasthan Jaipur India Manav Rachna University Faridabad India Astana IT University Astana Kazakhstan

ISBN: (纸本)9789819738090

Tobacco usage is the most prevalent form of smoking and constitutes one of the primary factors contributing to sickness and premature mortality across the globe. Smoking cigarettes is linked to a wide range of adverse health effects, such as the increased risk of lung cancer, cardiovascular disease, stroke, and a host of respiratory illnesses. Nicotine, tar, carbon monoxide, and several other substances found in tobacco smoke have all been linked to an increased risk of developing cancer. Apart from this, the threats to one’s health and smoking may also have negative impacts on one’s relationships and finances. A well-designed survey was used to collect the information that was used to compile the results of this research. There was a total of 306 people who participated in the poll as respondents. In this research, SPSS was used to find out whether there is any connection between smoking, anxiety, and depression. As a result, it was found that there is no statistically noteworthy link between smoking habits and feelings of mental stress, anxiety, or depression. The findings of this research suggest that there is no necessary connection between adolescent smoking habits and one’s mental health. Interventions should not just give information about the long-term hazards that adolescents regard as significant;rather, they should also include knowledge about the social dangers that teenagers find to be so essential. This is part of an attempt to decrease teen smoking. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Carbon monoxide

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Data Visualization in Transforming Raw Data into Compelling Visual Narratives 2

Data Visualization in Transforming Raw Data into Compelling ...

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2nd IEEE International Conference on Trends in Quantum Computing and Emerging Business Technologies, TQCEBT 2024

作者： Sarkar, Prithu Priya, Yadavalli Devi Patel, Pravina B. Chatterjee Biswas, Prasanta Arigela, Sreenivasulu Sallaram, Sravanthi Amity University Amity School of Communication Kolkata India Computer Science and Engineering Vignan's Institute of Information Technology Duvvada Andhra Pradesh Vishakapatanam India Ganpat University Department of Computer Science Gujarat Mehsana India Cdoe Parul University Vadodara India Mohan Babu University Andhra Pradesh Tirupati India St.Martin's Engineering College Department of Computer Science and Engineering India

ISBN: (纸本)9798350384277

One of the main ways to evaluate information is through visual learning, which traditionally combines textual reading with visual aids like graphical representations. However, separating the visual method of learning to distinguish between text and visuals has been suggested in light of advancements in learning styles. The ability to swiftly create complex visual information and inexpensively distribute it digitally is another way that technology has improved visual presentation. The purpose of this research paper is to conduct a detailed investigation of the Virtualization of data, storytelling, and Data Visualization's Narrative, understand how Instruments and methods are used in visualization, and select the appropriate tool for presenting visual data stories and upcoming projects. To address this purpose, this research has reviewed a wide range of different journals and articles to gather information about data visualization, storytelling, and data narratives. Based on the analysis, this research paper finds an all-encompassing perspective on the visual data narrative process, incorporating the phases of discovering insights (data exploration), developing these insights into a tale (creating a story), and sharing this story with others (telling a story). Through the pursuit of these novel research directions, visualizations can facilitate more potent data storytelling. © 2024 IEEE.

关键词： Spatio-temporal data

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Enhancing Deep Neural Network Convergence and Performance: A Hybrid Activation Function Approach by Combining ReLU and ELU Activation Function 2

Enhancing Deep Neural Network Convergence and Performance: A...

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2nd International Conference on Informatics, ICI 2023

作者： Maurya, Ritesh Aggarwal, Divyam Gopalakrishnan, T. Pandey, Nageshwar Nath Amity Centre for Artificial Intelligence Amity University Noida India Amity School of Engineering and Technology Amity University Noida India Manipal Institute of Technology Bengaluru Manipal Academy of Higher Education Udupi India Computer Science and Engineering ITER Shiksha 'o' Anusandhan Odisha Bhubaneswar India

ISBN: (纸本)9798350343830

Activation functions play an important role in Deep Neural Networks. The activation function can learn nonlinearities present in the data;therefore, it can learn intricate patterns present in the data. Rectified Linear Unit (ReLU) is an activation function that helps in encountering the problem of vanishing gradient. However, it suffers from 'dying ReLU' problem for the negative values. Leaky ReLU can solve the problem of 'dying ReLU';though it still suffers from a vanishing gradient problem due to the small gradient at for negative values, which results in slow convergence. Therefore, in this work, a combination of ReLU and Exponential Linear Unit (ELU) has been proposed considering the smoother convergence of the ELU activation function for the values on the negative side. Evaluating the effectiveness of the developed hybrid activation function compared to previous ReLU activation function versions such as SeLU, Leaky ReLU, ELU, etc. using a toy multi-layer perceptron and convolution neural network (CNN) model on the FashinMNIST and MNIST datasets. The improvement in the performance of these toy models when used with the proposed hybrid activation function on given datasets suggests the effectiveness of the proposed hybrid activation function. © 2023 IEEE.

关键词： Deep neural networks

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A Novel Approach of Object Detection using Deep Learning for Animal Safety 12

A Novel Approach of Object Detection using Deep Learning for...

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12th International Conference on Cloud Computing, Data science and engineering, Confluence 2022

作者： Gandhi, Rashmi Gupta, Aakankshi Yadav, Ashok Kumar Rathee, Sonia Amity School Of Engineering Technology Department Of Computer Science And Engineering Noida India Maharaja Surajmal Institute Of Technology Ggsipu Department Of Computer Science And Engineering Delhi India

ISBN: (纸本)9781665437011

This paper uses convolutional neural networks (CNN) algorithm to detect animals. Four different Object Detection frameworks are implemented and compared their performance with our novel approach. Many algorithms of convolutional neural networks like RCNN, Faster RCNN, Single Shot detection, YOLOv3 are used in object detection tasks are compared. A customized Faster RCNN is designed with anchor manipulations This framework is found to be best suited technique for Animal Detection System giving the best time-accuracy trade-off. Experimental results shows that this method has reduced the best inference time significantly. © 2022 IEEE.

关键词： Animals

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Mitigating Cross-Site Request Forgery Vulnerabilities: An Examination of Prevention Systems

Mitigating Cross-Site Request Forgery Vulnerabilities: An Ex...

引用

International Symposium on Advanced Networks and Telecommunication Systems (ANTS)

作者： Yuvraj Singh Paranjay Goel Shubhani Aggarwal Rajat Chaudhary Ishan Budhiraja Department of Computer Science & Engineering Amity School of Engineering & Technology Amity University Punjab India School of Computer Science Engineering and Technology Bennett University Greater Noida India

ISBN: (数字)9798350391725

ISBN: (纸本)9798350391732

Cross-Site Request Forgery (CSRF) remains a pervasive vulnerability in web applications, appearing regularly in the OWASP Top 10 lists, posing significant threats to user data and system integrity despite the existence of numerous rectification methodologies. This study undertakes a thorough, comprehensive analysis of the present environment of CSRF prevention systems, investigating their operational mechanisms, effectiveness, and associated limitations. Hence, this paper explores the role of CSRF tokens in the prevention of cyberattacks, including the detection of token absence and the implementation of token-based countermeasures to mitigate CSRF risks. The system model utilizing simple JavaScript and Flask Applications that aim to utilize the token-based countermeasure to identify the existence of tokens and generate and append them to requests, which ensures security of user data and system integrity.

关键词： Analytical models Prevention and mitigation Forgery Data models Telecommunications Security computer crime Testing

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Detection of Cyberbullying Using Modified Dense Framework 10

Detection of Cyberbullying Using Modified Dense Framework

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

作者： Malik, Varun Mittal, Ruchi Singh, Vikram Mittal, Amit Singh, S Vikram Diwvedi, Shashi Prakash Chitkara University Institute of Engineering and Technology Chitkara University Punjab India Chaudhary Devilal University Department of Computer Science and Engineering Sirsa India Chitkara Business School Chitkara University Punjab India Amity School of Engineering and Technology Amity University Greater Noida India Lloyd Institute of Engineering & Technology Greater Noida India

ISBN: (纸本)9798350382471

Cyberbullying has emerged as a significant societal concern, with the proliferation of digital communication platforms. Detecting and mitigating cyberbullying is crucial to ensure online safety and promote positive digital interactions. This study proposes an innovative approach for the detection of cyberbullying using a Modified Dense Framework (MDF). The Modified Dense Framework (MDF) introduced in this research is a deep learning architecture specifically tailored for cyberbullying detection. Unlike traditional methods, MDF combines the power of convolutional neural networks (CNNs) and recurrent neural networks (RNNs) in a novel way, enhancing the model's ability to capture intricate patterns within textual and multimedia content. The framework is trained on diverse datasets encompassing text, images, and videos, enabling it to effectively identify various forms of cyberbullying across multiple online platforms. The study demonstrates the effectiveness of MDF through rigorous experimentation and evaluation. Comparative analyses with existing state-of-the-art models highlight the superiority of MDF in terms of accuracy, precision, recall, and F1-score. Moreover, MDF exhibits remarkable resilience against adversarial attacks, ensuring robust cyberbullying detection even in challenging scenarios. © 2023 IEEE.

关键词： Cyberbullying Deep Learning Detection Modified Dense Framework Robust Detection

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Deploying Mobile Application on Cloud

Deploying Mobile Application on Cloud

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2022 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing, COM-IT-CON 2022

作者： Kharbanda, Jayant Madan, Rishi Passi, Vansh Sharma, Dolly Amity University Amity School of Engineering and Technology Uttar Pradesh Noida India Amity University Department of Computer Science and Engineering Uttar Pradesh Noida India

ISBN: (数字)9781665496025

ISBN: (纸本)9781665496025

Today is the era of cloud-based applications. Over a span of time cloud has emerged as nascent term to new era of computing that gives access to anything, anywhere. This paper involves the study on the topic 'Mobile Application Deployment on Cloud'. The paper has been split into 3 major domains that are: Creating the front-end of the application, Creating and maintaining the back end of the application and finally deploying the application on cloud. The application to be deployed on cloud was built on 'Flutter'. The main reason to choose flutter as a platform is that, using a single codebase one can make and maintain an application on both the major mobile operating systems namely, Android and iOS. After the dummy application was built, we started the process of hosting the application on AWS cloud. At first, a reference architecture taken into contemplation for beginning the process. And at various stages the architecture was altered according to the use case and services were modified. After we were ready with the cloud architecture, we finally deployed our application with dummy data on the AWS cloud. Once the application got hosted on the cloud, we started to change the test data with actual data and as an outcome of which we successfully accomplished our goal. © 2022 IEEE.

关键词： Flutter (aerodynamics)

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Addressing the Rising Challenge of Malware Innovative Detection and Mitigation Techniques

Addressing the Rising Challenge of Malware Innovative Detect...

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2024 International Conference on Communication, computer sciences and engineering, IC3SE 2024

作者： Balaram, A. Umashankari, E. Dutt, Amit Bharadwaj, Garima Revathi, V. Albawi, Ali Mlr Institute Of Technology Department Of Computer Science And Engineering Telangana Hyderabad India Institute Of Aeronautical Engineering Department Of Computer Science And Engineering Telangana Hyderabad India Lovely Professional University Phagwara India Amity Business School Amity University Greater Noida India New Horizon College Of Engineering Department Of Applied Sciences Bangalore India College Of Medical Technology The Islamic University Radiology Techniques Department Najaf Iraq

ISBN: (纸本)9798350366846

This research talks about Hybrid Anomaly Detection (HAD), a complex technology for finding and stopping malware. There are four different methods to apply the approach. The following are a few examples: EDR, DBA, TIS, and EML. The goal of the ablation specialists is to enhance the HAD structure in whatever way possible. With a success rate of 99.5% and only one false positive, DBA starts monitoring the process the second it starts. EML makes the system more flexible and useful by finding malware using probability estimates and weighted voting. TIS protects against new threats and motivates people to work together by sharing and prioritizing threat information. EDR is all about computer security by evaluating and reducing risks. The ablation study focuses on how well each algorithm can identify things, how flexible it is, how well it can work with others, and how safe it keeps endpoints safe. Since these algorithms work well together, the HAD framework offers a complete answer that performs better than other approaches in many ways. This study suggests a good way for everyone to work together to fight modern computer risks, which will improve cybersecurity. © 2024 IEEE.

关键词： Malware

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