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Analyzing IoT Temperature Sensor Application on IBM Bluemix cloud 8

Analyzing IoT Temperature Sensor Application on IBM Bluemix ...

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8th international conference on communication and Electronics Systems, ICCES 2023

作者： Kaliyar, Rohit Kumar Bhardwaj, Aditya Bennett University School of Computer Science Engineering and Technology India

ISBN: (纸本)9798350396638

The next wave in the era of computing will be outside the realm of desktop computing. In the IoT paradigm, objects surrounding us will communicate and share information. Advanced sensor technologies used in IoT will give rise to new challenges of generating an enormous amount of data that must be processed, transferred, and presented quickly and efficiently. To make the vision of IoT a reality, high-end computing devices are needed. So, cloud-based processing is required because cloud computing provides low-cost, on-demand, and high-availability computing. As an example, this research study considers the scenario in which machines and servers become overheated after a long period of operation and enter a beyond- threshold temperature state, resulting in machine damage. So, the machine's temperature needs to be looked at to make sure nothing dangerous happens. To solve this issue, this study has developed an IoT application that is evaluated in IBM Bluemix cloud that would sense the machine's temperature under analysis and display the appropriate message based on whether that machine is beyond the threshold temperature or not. This, in turn, will help the system administrator prevent dangerous device conditions. © 2023 IEEE.

关键词： Internet of things

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cloud-Connected Wearable Devices for Lone Worker Protection With Wireless Sensor Networks 4

Cloud-Connected Wearable Devices for Lone Worker Protection ...

引用

4th international conference on Sustainable Expert Systems, ICSES 2024

作者： Mohankumar, N. Manivannan, K.K. Babu, A. Ramesh Sampoornam, M. Maria Kovarasan, Rajesh Kambattan Srinivasan, C. Nagpur Campus Maharashtra Pune India Kcg College of Technology Department of Mechatronics Engineering Tamil Nadu Chennai India School of Computer Applications Vidya Vikas Institute of Engineering and Technology Karnataka Mysore India J.J College of Engineering and Technology Department of Information Technology Tamil Nadu Tiruchirappalli India Vel Tech Rangarajan Dr. Sagunthala R&d Institute of Science and Technology Department of Computer Science and Engineering Tamil Nadu Chennai India Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Department of Computer Science and Engineering Tamil Nadu Chennai India

ISBN: (纸本)9798331540364

Various sectors continue to prioritize lone worker safety, which requires creative ways to provide quick support and monitoring. To safeguard lone workers, this paper introduces a new method that makes use of cloud-connected wearable devices that are coupled with Wireless Sensor Networks (WSNs). The system design relies on sensors embedded in wearable devices that can monitor a range of environmental elements as well as the vital signs of workers. A central cloud platform receives data in real-time via wireless communication from these devices and processes and analyzes it. The system may detect possible dangers or crises using smart techniques and immediately notify those who are supposed to react or the proper authorities. cloud computing also makes it easy to store, analyze, and monitor large amounts of data over time, which is great for doing proactive risk assessments and improving safety standards. It demonstrates solution's capacity to improve lone worker safety, reduce reaction times, and mitigate hazards via simulations and actual deployment scenarios, efficacy and dependability. This growing body of knowledge on how to protect lone workers in various workplaces by using the power of IoT and cloud computing. © 2024 IEEE.

关键词： cloud platforms

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Enhancing cloud Security with AI-Driven Anomaly Detection for Zero-Day Threats 1

Enhancing Cloud Security with AI-Driven Anomaly Detection fo...

引用

1st IEEE international conference on Advances in computing, communication and Networking, ICAC2N 2024

作者： Prabu, K. Vanitha, A. Radhakrishnan, R. Rajakumar, P. Thenmozhi, E. Ramesh, S.P. Galgotias University School of Computer Science and Engineering Greater Noida India Vel Tech Multi Tech Dr.Rangarajan Dr Sakunthala Engineering College Department of Biomedical Engineering Tamil Nadu India Panimalar Engineering College Department of Information Technology Tamilnadu India

ISBN: (纸本)9798350356816

Advancements in communication technology facilitate the transmission of diverse data across network systems in cloud environments. Simultaneously, as communication technology progresses, the attack surface widens, heightening concerns about network security. Consequently, extensive research focuses on network intrusion detection systems (NIDS) to address potential threats. Among NIDS technologies, there's growing interest in AI-based anomaly detection, leveraging Deep Learning (DL) and Machine Learning (ML) techniques to enhance the development of Intrusion Detection System (IDS). Industries increasingly demand resilient IDSs capable of detecting zero-day attacks. However, data imbalance poses a persistent challenge, hindering accurate detection of zero-day attacks by AI models. This study introduces a novel AI-based NIDS addressing data imbalance and enhancing performance. An autoencoder with both basic and deep architectural implementation is proposed for zero-day attack detection, aiming for high recall and minimizing false-negatives. To validate the effectiveness of our model, we compare its performance against that of standard methods. Evaluation on renowned IDS datasets - CICIDS2017 and UNSW-NB15 - shows promising results, with autoencoders effectively identifying intricate zero-day attacks. This proposed model achieves a detection accuracy of over 98% on both datasets. © 2024 IEEE.

关键词： Network intrusion

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Analysis of Internet of Things encrypted data based on cloud computing platform 6

Analysis of Internet of Things encrypted data based on cloud...

引用

6th international conference on Intelligent computing, communication, and Devices, ICCD 2023

作者： Yin, Jian Zhang, Chun Zheng, Congyi Guangdong Weide Information Technology Co. Ltd Guangdong Guangzhou51000 China

ISBN: (数字)9781510666269

ISBN: (纸本)9781510666252

The research of IOT (Internet of Things) technology is the product of the continuous development of the information age. The impact of IOT technology on human production and life is gradually increasing, and IOT encrypted data based on cloud computing platform is also gradually popular. Because ECS is not completely trusted, cloud tenants will face the risk of sensitive data leakage while enjoying convenient data services. In the development history of IOT technology, cloud computing plays an important role. As a large-scale computing method, cloud computing has super data processing capacity, and can complete data scheduling in real time, effectively accelerate data computing speed. It has high development potential. The analysis of IOT encrypted data on the cloud computing platform has become the basic technology for feature extraction and data mining of big data information. The experimental results in this paper can prove that the method in this paper has better key splitting effect and higher key flexibility, which can realize the random splitting of IOT keys, improve the ability of data to resist external attacks, and ensure data security. It is of great practical value to realize the open source IOT encrypted data platform based on the current cloud computing technology, and it also has great significance to promote the development of IOT technology. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Internet of things

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Efficient cloud-assisted revocable identity-based broadcast encryption in IoT 4

Efficient cloud-assisted revocable identity-based broadcast ...

引用

4th international conference on Network communication and Information Security, ICNCIS 2024

作者： Chen, Zhou Han, Lidong School of Information Science and Technology Hangzhou Normal University Hangzhou China

ISBN: (数字)9781510688261

ISBN: (纸本)9781510688254

While the Internet of Things (IoT) has greatly facilitated our daily lives, this trend has encountered numerous security challenges in data storing and sharing especially for sensitive personal data. Identity-Based Broadcast Encryption (IBBE) is an efficient cryptographic technique to securely share messages among multiple users. Nevertheless, to prevent access by users who were previously authorized but now lack permission, user revocation should be integrated into IBBE. Despite several previous Revocable Identity-Based Broadcast Encryption (RIBBE) schemes were proposed, they are not practical for resource-constrained IoT devices due to their high computational cost during encryption and decryption, as well as the significant storage needs for the revocation list. To tackle these issues, we propose an outsourced RIBBE scheme that is appropriate for resource-constrained IoT devices. It not only effectively implements user revocation but also leverages a cloud server to handle complex calculations. Additionally, our scheme is designed to resist collusion attacks, enhancing overall security. Performance evaluation describes the great practicality and efficiency of our scheme. © 2025 SPIE.

关键词： Internet of things clouds Computer security cloud computing Cryptography Network security Systems modeling

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AquaticSafe Sentinel: An Edge-Based IoT-Powered Predictive System for Continuous Dissolved Oxygen Surveillance in Aquaculture 13

AquaticSafe Sentinel: An Edge-Based IoT-Powered Predictive S...

引用

13th IEEE international conference on communication Systems and Network Technologies, CSNT 2024

作者： Taghizadeh, Seyedreza Fardarani, Zahra Nooraninejad Shiraz University Engineering and Information Technology Department of Computer Science Shiraz Iran

ISBN: (纸本)9798350305463

Aquaculture stands as a flourishing industry, serving as a significant financial resource for many. However, it encounters various challenges such as environmental degradation and disease outbreaks. Consequently, maintaining water quality in aquaculture systems becomes imperative. Dissolved oxygen (DO), a key indicator of oxygen availability for fish respiration, emerges as a crucial measure of water quality. In this research, we propose AquaticSafe Sentinel, an innovative IoT-backed predictive system designed for edge-based continuous monitoring of DO and real-time alerting in aquaculture. Our two-phase framework utilizes both edge computing and cloud computing to swiftly and reliably predict DO levels based on environmental and biological characteristics. Phase one involves making ensemble forecasts of DO levels at the cloud layer using a combination of three machine learning approaches, namely Linear Regression, Random Forest, and AdaBoost. Then phase two involves employing the results of Linear Regression at the edge of the network to make real-time decisions about DO levels, and triggering alerts if necessary. Subsequently, the system awaits a more refined conclusion from the combination technique at the cloud layer. We conduct a comparative analysis with various baseline methods, demonstrating that our framework surpasses them in terms of prediction accuracy and computing efficiency. Additionally, we illustrate how our framework effectively minimizes false alerts, achieving a balance between speed and accuracy to deliver timely solutions. © 2024 IEEE.

关键词： Edge computing

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IoT based Social Device Network with cloud computing Architecture 2

IoT based Social Device Network with Cloud Computing Archite...

引用

2nd international conference on Electronics and Renewable Systems, ICEARS 2023

作者： Suman, Turpati Kaliappan, S. Natrayan, L. Dobhal, Dinesh Chandra Department of Electronics and Communication Engineering Kurnool518 452 India Velammal Institute of Technology Department of Mechanical Engineering Chennai601204 India Saveetha School of Engineering Department of Mechanical Engineering Simats 602107 India Graphic Era Deemed to Be University Department of Computer Science and Engineering Dehradun248002 India

ISBN: (纸本)9798350346640

Internet of Things (IoT) is an emerging technology that is taking the current technology to the next phase of connectivity by connecting any device to the internet. It may be a mobile phone device, a speaker or even a connected vehicle. The number of IoT-based devices people use is increasing day by day. The quantity of smart gadgets people purchase on both offline and online platforms has increased to a significant number in the past few years. This research article proposes social networking between IoT devices, by the interconnection of IoT devices based on a cloud computing method. Through cloud computing, number of Edge platform-based, IoT devices can be connected to a common cloud called Fog computing, which in turn connects to the cloud network. The social networking of IoT devices enables users to switch and share data between their IoT devices. Various computational programs and block chain techniques develop applications that allow the host network to communicate with IoT devices with secure access to the data shared by all IoT devices connected to the cloud without any data loss or security breach. © 2023 IEEE.

关键词： Internet of things

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Research on executing equipment control algorithm based on multi-sensor pipe gallery

Research on executing equipment control algorithm based on m...

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2023 international conference on cloud computing, Performance computing, and Deep Learning, CCPCDL 2023

作者： Xu, Shifan Liu, Wenjin Du, Yukuan School of Information and Communication Engineering Hainan University Hainan Haikou570228 China

ISBN: (纸本)9781510666474

This article focuses on the implementation of equipment control in the Internet of Things monitoring system due to the change of environmental parameters. When the abnormal environmental parameters are proposed based on the edge calculation of the intelligent pipe corridor based on the multi-sensor data detection, the calculation algorithm of the detection process and timing correlation is designed, and the corresponding execution equipment is controlled by the algorithm, so as to achieve the purpose of correcting the environmental parameters in the corridor. A good control effect is obtained. © 2023 SPIE.

关键词： Anomaly detection

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A Detailed Analysis of cloud Storage and Key Management Techniques in IoT Driven Smart Grids 7

A Detailed Analysis of Cloud Storage and Key Management Tech...

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7th international conference on Circuit Power and computing Technologies, ICCPCT 2024

作者： Sivaprasad Manivannan, I. Roobert, A. Andrew Muthukumaran, N. Rohini College of Engineering and Technology Department of Computer Science and Engineering Tamil Nadu India Francis Xavier Engineering College Department of Electronics and Communication Engineering Tirunelveli627003 India Sri Eshwar College of Engineering Centre for Computational Imaging and Machine Vision Department of Electronics and Communication Engineering Tamil Nadu Coimbatore641202 India

ISBN: (纸本)9798350372816

The Internet of Things (IoT) technology has revolutionized smart grid settings, enhancing efficiency and enabling advanced data analytics. However, the integration of IoT devices within smart grids introduces significant challenges related to data storage and security. This survey provides a comprehensive review of the various classifiers and optimization algorithms employed to enhance cloud storage solutions and key management systems within smart grid environments. Moreover, it symmetrically examines different classifiers, like Machine Learning (ML) and Deep Learning (DL) methods, which are designed for managing cryptographic keys, focusing on their ability to secure communications, authenticate devices, and ensure data integrity in the presence of cyber threats. Additionally, it categorizes and evaluates a wide range of optimization methods, including evolutionary algorithms, particle swarm optimization (PSO), gray wolf optimization (GWO) and firefly algorithm (FFA) based techniques for optimizing the classifiers, highlighting their applicability in optimizing storage capacities, data retrieval speeds, and cost-effectiveness. By synthesizing recent advancements and comparing the efficacy of these techniques, the survey identifies the best individuals and emerging trends that promise to strengthen the resilience and efficiency of IoT-enabled smart grids. The findings promote the critical role of integrated classifiers and optimization techniques in achieving scalable, secure, and reliable smart grid infrastructures. © 2024 IEEE.

关键词： Data integrity

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A Smart Blood Donor Locator and Component Matching System for Rapid Disaster Response

A Smart Blood Donor Locator and Component Matching System fo...

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2023 international conference on Innovative computing, Intelligent communication and Smart Electrical Systems, ICSES 2023

作者： Thirunavukkarasu, J. Subinesh, K.J. Dharshan, P. Boobesh, S. Sri Sai Ram Institute of Technology Computer Science and Engineering Chennai India

ISBN: (纸本)9798350319200

The Crucial part of life is surviving without any Health dangerous incidents but we cannot negotiate completely. Every human has shortage of blood during serious issues such as organ transplant, Bleeding disorder, medical conditions, road accidents, etc. Which can be cured by a blood donation? So, Blood donations are aside but blood transfusion is mostly for cancer treatment, Anemia and blood infections, etc. In order to help people to find a suitable blood that is rich in particular component we use cloud computing to find blood donors for blood transfusion. The approach involves building a cloud-based application that connects blood donors with patients in need of blood transfusions. Donor information such as blood type, blood components count, donor's live location, and availability to donate blood is collected and stored in a cloud-based database. The application then searches the database for donors with a matching blood type who are located nearby right now and available to donate when a patient requires a blood transfusion. The process is monitored to ensure the safe collection and transportation of donated blood. Using cloud computing provides benefits such as scalability, accessibility, and security to connect donors with patients and improve the blood donation process. Additionally, we integrate all blood banks, hospitals, and labs into one system unit for communication if any blood packets run out of limits. Also providing certified donor's live location can help people contact easily. © 2023 IEEE.

关键词： cloud computing Donor Machine learning Web Api

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