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Black Hole Attacks Detection in Mobile Ad Hoc Networks (MANETs) using Bayesian Inference Method 11

Black Hole Attacks Detection in Mobile Ad Hoc Networks (MANE...

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11th International Conference on Electrical engineering, computer science and Informatics, EECSI 2024

作者： Afifah, Nurul Fadli, Muhammad Septian, Tri Wanda Sari, Winda Kurnia Hermansyah, Adi Marieska, Mastura Diana Sriwijaya University Faculty of Comp. Science Computer Engineering Dept. Palembang Indonesia Sriwijaya University COMNETS Research Group Faculty of Comp. Science Palembang Indonesia Sriwijaya University Faculty of Comp. Science Information System Dept. Palembang Indonesia

ISBN: (纸本)9798350355314

MANET has vulnerability in terms of security systems against black hole attacks. The main target of black hole as a malicious node is to absorbs all data. The aim of this research is to identify black hole attacks against MANE Tusing Bayesian inference. The methodology of this research involves several testing phases. In the first phase, all data packets sent by the source node to destination within the range of the black hole node are lost. The second and third testing phases showed that the Bayesian method was successful in detecting black holes by preventing data transmission. The results indicated that traffic in the MANET runs smoothly when the nodes are operating under normal conditions. However, when a black hole node is introduced, a significant number of data packets are lost. Implementing the Bayesian method offers a solution to this issue. © 2024 IEEE.

关键词： Mobile ad hoc networks

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Comparative Analysis of Password Storage Security using Double Secure Hash Algorithm

Comparative Analysis of Password Storage Security using Doub...

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2022 IEEE North Karnataka Subsection Flagship International Conference, NKCon 2022

作者： Chethana, Savarala Charan, Sreevathsa Sree Srihitha, Vemula Radha, D. Kavitha, C.R. Amrita School of Computing Bengaluru Dept. of Computer Science & Engineering Amrita Vishwa Vidyapeetham India

ISBN: (纸本)9781665453424

Passwords are generally used to keep unauthorized users out of the system. Password hacking has become more common as the number of internet users has extended, causing a slew of issues. These problems include stealing the confidential information of a company or a country by adversaries which harm the economy or the security of the organization. Hackers often use password hacking for criminal activities. It is indispensable to protect passwords from hackers. There are many hacking methods such as credential stuffing, social engineering, traffic interception, and password spraying for hacking the passwords. So, in order to control hacking, there are hashing algorithms that are mostly used to hash passwords making password cracking more difficult. In this proposed work, different hashing algorithms such as SHA-1, MD-5, Salted MD-5, SHA-256, and SHA-512 have been used. And the MySQL database is used to store the hash values of passwords that are generated using various hash functions. It is proven that SHA is better than MD-5 and Salted MD-5. Whereas in the SHA family, SHA-512 and SHA-256 have their own benefits. Four new hashing functions have been proposed using the combination of existing algorithms like SHA-256, and SHA-512 namely SHA-256-with-SHA-256, SHA-256- With-SHA-512,SHA-512-With-SHA-512,and SHA-512- With-SHA-256. They provide strong hash value for passwords by which the security of passwords increases, and hacking can be controlled to an extent. © 2022 IEEE.

关键词： Hash functions

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Smart Adapter System Architecture for Seamless and Scalable Integration of Industry and Smart Home IoT 48

Smart Adapter System Architecture for Seamless and Scalable ...

引用

48th Annual Conference of the IEEE Industrial Electronics Society, IECON 2022

作者： Javed, Salman Paniagua, Cristina Patil, Sandeep Van Deventer, Jan Delsing, Jerker Lulea University of Technology Dept. of Computer Science Electrical and Space Engineering Luleå97187 Sweden

ISBN: (数字)9781665480253

ISBN: (纸本)9781665480253

Integrating smart manufacturing ecosystems with industrial-grade smart energy and building automation systems enables real-time adaptation to changes in demands and factory conditions, the supply chain, and the needs of customers and society. However, integrating, managing, and controlling data exchange usually incurs high overheads in such a collaborative industrial environment. Smart home IoT technologies are a cost-effective solution for smart energy and building automation systems;they are not fully interoperable with industrial IoT technologies. This paper presents a mechanism to solve this interoperability problem using the Eclipse Arrowhead framework. The proposed solution provides a microservice-oriented architecture to develop protocol-specific smart adapter systems for the Arrowhead framework. These smart adapter systems provide seamless and highly scalable integrations between smart home and industrial IoT technologies. Our solution enables smart manufacturing ecosystems to meet Industry 5.0's core values and reduce their carbon footprint to save the planet. We present the performance of our solution using an example from a real-world use case of a smart heating system scenario in a smart factory. © 2022 IEEE.

关键词： Internet of things

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Analysis and Visualization of Eye movements in Patients with Glaucoma 7

Analysis and Visualization of Eye movements in Patients with...

引用

7th IEEE International Conference on Recent Advances and Innovations in engineering, ICRAIE 2022

作者： Sandhiya, B. Amudha, J. Krishnan, Sajitha Dept. of Computer Science and Engineering Amrita School of Computing Amrita Vishwa Vidyapeetham Bengaluru India

ISBN: (纸本)9781665489102

Glaucoma is one of the foremost causes that result in irreversible blindness. World Health Organisation (WHO) has estimated that around 4.5 million people are blind due to glaucoma. This vast number is because more than 90% of glaucoma cases are undiagnosed. Early-stage glaucoma detection system helps to identify the disease and prevent it from further blindness. The proposed system analyzed and visualized the eye movement patterns of glaucoma-affected participants using machine learning algorithms. The model collected eye-gaze patterns using an eye-tracking sensor and visualized them based on different eye gaze features. The model classified glaucoma and normal based on eye gaze data. The proposed model has incorporated different visualization techniques to understand how eye gaze patterns of normal and glaucoma differ while performing screen-based tasks such as Free-Viewing Task and Image Searching Task. The proposed system has also incorporated an interactive dashboard using Microsoft PowerBI Software. © 2022 IEEE.

关键词： Eye movements

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An ensemble learning-based machine learning with voting mechanism for chronic disease prediction

An ensemble learning-based machine learning with voting mech...

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Artificial Intelligence, computer, Data sciences and Applications (ACDSA), International Conference on

作者： Soualihou Ngnamsie Soualihou Jeong-Dong Kim Candra Zonyfar Hyun Lee Taek Lee Jung-Been Lee Dept. of Computer Science and Electronic Convergence Sun Moon University Asan Republic of Korea Dept. of Computer Science and Engineering Sun Moon University Asan Republic of Korea Division of Computer Science and Engineering Sun Moon University Asan Republic of Korea

Chronic diseases present a significant challenge in healthcare, often requiring ongoing medical attention and posing limitations on patients' daily activities. Diagnosis of such diseases is hindered by the absence of specific symptoms making them hard to detect and or prevent. Addressing this issue, researchers have turned to computational approaches, analyzing patients' medical records to predict the presence or absence of chronic diseases with promising results. However, there is potential for further improvement. This paper introduces an ensemble classifier, ELVot-CroDiP, designed to enhance chronic disease prediction. ELVot-CroDiP harnesses the collective strengths of various machine learning algorithms through a majority voting mechanism, thereby boosting predictive accuracy. The model’s performance was evaluated using precision, recall, f1-score, and accuracy across five medical datasets, including heart disease, chronic kidney disease, diabetes, and heart stroke. Comparative analysis shows that ELVot-CroDiP offers superior performance in predicting chronic diseases compared to existing models, as evidenced by its higher scores in the mentioned evaluation metrics for each dataset tested.

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Chain-of-Factors: A Zero-Shot Prompting Methodology Enabling Factor-Centric Reasoning in Large Language Models

Chain-of-Factors: A Zero-Shot Prompting Methodology Enabling...

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International Conference on Machine Learning and Applications (ICMLA)

作者： Musarrat Hussain Ubaid Ur Rehman Tri D.T. Nguyen Sungyoung Lee Seong Tae Kim Sung-Ho Bae Jung Uk Kim Department of Computer Science UiT The Arctic University of Norway Tromsø Norway Dept. of Computer Science & Engineering Kyung Hee University Yongin South Korea Department of Computer Science and Engineering Kyung Hee University Yongin South Korea

ISBN: (数字)9798350374889

ISBN: (纸本)9798350374896

Large language models (LLMs) have significantly improved numerous natural language processing tasks. However, their performance relies heavily on the provided instructions or prompts. Recently, several prompting methodologies have been developed to enhance the reasoning abilities of LLMs. Notably, the Chain-of-Thought (CoT) approach provides examples that help break down tasks into sub-steps, resulting in more accurate solutions. However, the process of generating detailed examples may not be user-friendly, as end users prefer providing task descriptions rather than a set of examples. In this study, we introduce Chain-of-Factors (CoF), an innovative zero-shot prompting methodology that incorporates task-specific instructions as a chain of factors into the prompt, aimed at enhancing the factor-centric reasoning abilities of LLMs. Experiments on three LLMs, including ChatGPT-3.5, Gemini, and GPT-4, show performance improvements ranging from 0.01% to 40.2% in accuracy on various symbolic reasoning and logical reasoning tasks compared with zero-shot and few-shot CoT. In summary, CoF enhances LLMs' reasoning abilities by including task-specific steps and instructions, while also decreasing the necessity for fine-tuning specific to each task.

关键词： Accuracy Large language models Machine learning Cognition Natural language processing Distance measurement

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Designing and Simulating a Smart Water Harvesting System Using PLC Techniques

Designing and Simulating a Smart Water Harvesting System Usi...

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2023 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies, 3ICT 2023

作者： Thabet, Hassaan Th. H. Al-Hilali, Aqeel A. Qasim, Haitham B. Thabit, Thabit H. Mahmood, Firas M. Al-Hadba University College Techniques Engineering Dept. of Medical Instruments Mosul Iraq Al-Farahidi University Dept. of Medical Instruments Engineering Techniques Baghdad Iraq Al-Esraa University College Dept. of Computer Science Baghdad Iraq Ninevah University Dept. of Computer Engineering and Information Mosul Iraq Cihan University-Erbil Dept. of Informatics and Software Engineering Iraq

ISBN: (纸本)9798350307771

The presence of water in human life is crucial, and God has blessed humans much with its availability. This paper tries to reduce the amount of water that people use for washing in all aspects of daily life and instead utilize it to irrigate gardens and maintain hygienic facilities. The importance of water as a fundamental ingredient and the range of social and age groups that regularly take advantage of the washing process made it an ideal location for water waste during the washing process. This is why the authors choose this region to conduct their research. The monitoring and management of water usage during the washing process are simulated using PLC techniques. © 2023 IEEE.

关键词： Washing

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Edge Node Load Balancing Using Game Theoretic Approaches 5

Edge Node Load Balancing Using Game Theoretic Approaches

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5th International Conference on Emerging Systems and Intelligent Computing, ESIC 2025

作者： Haldar, Rajdeep Rooj, Saptadip Sharma, Neeraj Das, Ritambhar Mandal, Arnab Bandyopadhyay, Anjan Dept. of Information Technology Bhubaneswar India Lovely Professional University School of Computer Science and Engineering Jalandhar India School of Computer Engineering Bhubaneswar India

ISBN: (纸本)9798331522100

This paper explores the application of game theoretic approaches to load balancing across edge nodes within distributed computing systems. Focusing on a non-cooperative game model, we aim to enhance system efficiency by strategically optimizing resource allocation and load distribution among autonomous edge nodes. Initial simulations demonstrate that our approach not only addresses the inherent complexities of edge environments but also outperforms traditional load balancing mechanisms in terms of both operational efficiency and system responsiveness. © 2025 IEEE.

关键词： Edge computing

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OLBR: Optimization of Location-Based Routing Protocols in Vehicular Ad Hoc Networks

OLBR: Optimization of Location-Based Routing Protocols in Ve...

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2024 International Conference on Recent Innovation in Smart and Sustainable Technology, ICRISST 2024

作者： Thangam, S. Srikar Reddy, M. Vivek Ullas, Karthik Khadar Jilani, N. Abdul Venkatesh, K. Janet Kumari, J. Jesy Saleem Raja, A. Amrita School of Computing Dept. of Computer Science and Engineering Amrita Vishwa Vidyapeetham Bengaluru India University of Technology and Applied Sciences-Shinas College of Computing and Information Sciences It Department Oman

ISBN: (纸本)9798350309140

The proposed work employs ns-3, SUMO, and NetAnim to create geographical routing in vehicular ad hoc networks (VANETs). The research attempts to assess the performance of three well-known protocols AODV, DSDV, and OLSR in VANET settings. Utilizing SUMO's realistic mobility models and NS3's simulation capabilities, the project simulates node communication, protocol behaviour, and vehicle movement. The main purpose is to know how well various routing techniques work in dynamic vehicular situations. © 2024 IEEE.

关键词： Vehicular ad hoc networks

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An Environmental Sensing and APP Display System Based on IoT

An Environmental Sensing and APP Display System Based on IoT

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2022 IET International Conference on engineering Technologies and Applications, IET-ICETA 2022

作者： Fan, Cheng-De Chang, Chih-Yung Fan, Chun-Chieh Tamkang University Dept. of Electrical and Computer Engineering New Taipei City Taiwan St. John's University Dept. of Computer Science and Information Engineering New Taipei City Taiwan

ISBN: (数字)9781665491389

ISBN: (纸本)9781665491389

This research develops a cheap and multi-functional environment sensing and APP display system. The sensing end of this system is composed of CO2 sensor, PM2.5 sensor, GPS module, memory module, microprocessor, Bluetooth,,,,,etc.. The sensed information can be stored in the memory module, and then use computer and mobile phone to observe the curve of data changes, and proceed further analyze, discuss, and decision-making. This research mainly writes a mobile APP program, uses Bluetooth to control the sensor memory module data, and then displays them on the mobile phone. The values sensed by various sensors can be observed from the mobile phone screen, and the changing curve can be present. In addition, it can also display the sensing time and location of a sensing value in map mode, so that the complete sensing data information can be clearly understood from the mobile phone. © 2022 IEEE.

关键词： Climate change

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