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2nd International Conference on Emerging Trends in Information Technology and engineering, ic-ETITE 2024

作者： Diniesh, V.C. Murugesan, G. Jude, M. Joseph Auxilius Prabhakaran, A. Haritha, N. Jeevanaa, S.M. Karthikraja, A. Kongu Engineering College Department of Electronics and Communication Engineering Erode India Madanapalle Institute of Technology and Science Department of Computer Applications AP Madanapalle India Kongu Engineering College Department of Electronics and Communication Erode India

ISBN: (纸本)9798350328202

The Internet of Vehicles (IoV) has quickly progressed, linking a myriad of devices to facilitate data-driven applications in several fields. Routing Protocol for Low-power and Lossy Networks (RPL) is crucial to this paradigm, guaranteeing efficient and reliable communication in limited IoT and IoV contexts. In RPL there are two common Objective functions to choose the preferred parent namely Objective Function zero (OF0) and Minimum Rank with hysteresis objective function (MRHOF). OF0 uses Hop count as a metric to choose its preferred parent whereas MRHOF uses Expected Transmission Count (ETX) as a metric. The default Objective function is MRHOF and the metric is ETX. The existing protocols deals only with the static environment and it failed to handle the fast mobility. In this paper, we extend the scenario from IoT to IoV (static and mobile node) under random and grid environment with different network metrics like power, average end-to-end delay and Packet Delivery Ratio. Importantly, simulation is carried on 6LOWPAN/RPL stack with existing objective function on ContikiOS. The simulation result shows that MRHOF achieves 91% packet reception, 24.34% less delay compared against OF0 under fast mobility (10 - 50 m/s). © 2024 IEEE.

关键词： Low power electronics

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Quantum Cryptography Techniques for Enhancing Security in IoT Communications

Quantum Cryptography Techniques for Enhancing Security in Io...

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2024 International Conference on Distributed Systems, computer Networks and Cybersecurity, ICDSCNC 2024

作者： Naga, Suresh Bysani Venkata Kotiyal, Arnav Battula, R.S.S. Raju Patil, Harshal Dharangutti, Yogesh Natrayan, L. Eightfold.ai Ex - Cohesity CA United States Graphic Era Deemed to Be University Department of Computer Science & Engineering Dehradun India Aditya University Department of Computer Applications Surampalem India Iilm University School of Computer Science & Engineering Greater Noida India Department of Law Pune India School of Engineering Simats Department of Mechanical Engineering Saveetha Kuthambakkam India

ISBN: (纸本)9798350375442

A system of wirelessly communicative sensors embedded in a person's clothing. In order to remotely monitor and treat a patient's health, sensor devices are embedded in clothing, skin, and the human body itself. Healthcare, the military, sports, and remote treatment are just a few of the modern WBSN applications. It improves people's quality of life by allowing for more precise and quicker disease diagnosis as well as more timely care and more effective treatment. Even if a patient is far away from medical care, WBSN can still save their life. Despite the numerous benefits that WBSN technology brings to healthcare systems, there are legitimate concerns about security and privacy when it comes to collecting and transmitting physiological data about humans in an open setting. Ensuring the security of physiological data during transmission in a wireless environment is a challenging but crucial task. Key distribution, authentication, data integrity, and data confidentiality are just a few of the many security issues plaguing the WBSN. In tackling the WBSN security issues, this research contributes significantly. Secure transmission in wireless networks and high attack resistance are both provided by the cryptographic computational process. Nevertheless, the unsecure transmission of keys across networks is the sole vulnerability of public and private key cryptography methods. Attackers can easily crack traditional key sharing protocols used by communicating parties. Intruders can compromise the system's security in its entirety if they obtain the secret key. In WBSN, a secure way to generate and distribute secret keys is required. The EBB84QCP is a method for creating and sharing secret keys between communicating parties. Rather than using two prime numbers, the Enhanced and Modified RSA Cryptosystem (EMRSACS) suggests using four prime numbers for key generation, encryption, and decryption. Data transmission in wireless networks still involves a secret quantum key that is

关键词： Quantum cryptography

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Energy Theft Detection in Smart Grids:Taxonomy,Comparative Analysis,Challenges,and Future Research Directions

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IEEE/CAA Journal of Automatica Sinica 2022年第4期9卷 578-600页

作者： Mohsin Ahmed Abid Khan Mansoor Ahmed Mouzna Tahir Gwanggil Jeon Giancarlo Fortino Francesco Piccialli the Department of Computer Science COMSATS University Islamabad the Department of Computer Science School of ComputingEngineering and Digital TechnologiesTeesside University the Innovative Value Institute Maynooth University the Department of Computer Science Bahria University the School of Electronic Engineering Xidian University the Department of Embedded Systems Engineering Incheon National University IEEE the Department of Informatics ModelingElectronics and SystemsUniversity of Calabria the Department of Mathematics and Applications“R.Caccioppoli” University of Naples FedericoⅡ

Electricity theft is one of the major issues in developing countries which is affecting their economy *** with the introduction of emerging technologies,this issue became more *** many new energy theft detection(ETD)techniques have been proposed by utilising different data mining(DM)techniques,state&network(S&N)based techniques,and game theory(GT)***,a detailed survey is presented where many state-of-the-art ETD techniques are studied and analysed for their strengths and *** levels of taxonomy are presented to classify state-of-the-art ETD *** types and ways of energy theft and their consequences are studied and summarised and different parameters to benchmark the performance of proposed techniques are extracted from *** challenges of different ETD techniques and their mitigation are suggested for future *** is observed that the literature on ETD lacks knowledge management techniques that can be more effective,not only for ETD but also for theft *** can help in the prevention of energy theft,in the future,as well as for ETD.

关键词： Challenges comparative analysis energy theft detection future research directions smart grid taxonomy

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Comparative Analysis of RAG, Fine-Tuning, and Prompt engineering in Chatbot Development

Comparative Analysis of RAG, Fine-Tuning, and Prompt Enginee...

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2024 International Conference on Future Technologies for Smart Society, ICFTSS 2024

作者： Chaubey, Harshit Kumar Tripathi, Gaurav Ranjan, Rajnish Gopalaiyengar, Srinivasa K. Iiit Naya Raipur Computer Science and Engineering Raipur India Iiit Naya Raipur Electronics and Communication Engineering Raipur India Iit Data Science and Applications Madras Chennai India Iiit Data Science and Artificial Intelligence Naya Raipur Raipur India

ISBN: (纸本)9798350373844

This paper examines the integration and comparative effectiveness of Retriever-Augmented Generation (RAG), fine-tuning, and prompt engineering in the development of advanced chatbots. By employing domain-specific fine-tuning, the study addresses contextual misunderstandings and inaccuracies prevalent in base Large Language Models (LLMs). RAG enhances chatbot functionality by incorporating real-time data retrieval, ensuring relevance in dynamically changing environments. Prompt engineering is utilized to refine input prompts, thereby optimizing the accuracy of responses. Employing the 'openassistant-guanaco' dataset from Hugging Face, this research assesses the performance improvements offered by these methodologies, both quantitatively and qualitatively. The fine-tuned model outperforms other methods with an accuracy of 87.8 % and a BLEU score of 0.81, proving its effectiveness in generating the most relevant responses. In contrast, while the RAG with LLM approach shows promising results with a reasonable accuracy of 84.5 %, the Prompt engineering method, though slightly less effective with an accuracy of 83.2 %, still maintains competitive performance. This study highlights the unique and combined strengths of these technologies, contributing valuable insights into their synergistic potential for enhancing chatbot interactions © 2024 IEEE.

关键词： Search engines

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Recognition of Data Breach Method from Story Using Advanced Deep Learning 3

Recognition of Data Breach Method from Story Using Advanced ...

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3rd International Conference for Innovation in Technology, INOCON 2024

作者： Jeba, Samiha Maisha Aurpa, Tanjim Taharat Alom, Md Samiul Joy, Md. Wadud Mahmud Ahamed, Asm Shakil Dash, Satya Ranjan Ahmed, Md Shoaib International University of Business Agriculture and Technology Dept. of Computer Science and Engineering Bangladesh Bangabandhu Sheikh Mujibur Rahman Digital University Department of Data Science Bangladesh Kiit University School of Computer Applications Odisha India Boise State University Department of Computer Science BoiseID United States

ISBN: (纸本)9798350381931

We often open our eyes in the morning with the appalling news of data breaches of different popular companies. This is a significant threat not only to giant companies but also to the general people's privacy. Various methods are maneuvered for data breaches, and identifying these methods in a short can help understand the loss and take proper steps against these incidents. Researchers nowadays focus on the data breaches issue to reduce its threats to the tech industry. In this research, we have used advanced deep learning methods(e.g., BERT, XLNet, and Electra) to predict data breach methods using the data breach story. The proposed classifier has provided an accuracy of 92.86%. © 2024 IEEE.

关键词： Deep learning

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Developing a Blockchain Framework for Enhancing Security in Food Supply Chains

Developing a Blockchain Framework for Enhancing Security in ...

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2024 International Conference on Electrical, Electronics and Computing Technologies, ICEECT 2024

作者： Rakhra, Manik Singh, Pritpal Khanna, Aseem Angra, Prikshat Kumar Kumar, Ashwani Katoch, Navneet Lovely Professional University School of Computer Science and Engineering Phagwara India Lovely Professional University Mittal School of Business Phagwara India Lovely Professional University School of Computer Applications Phagwara India India

ISBN: (纸本)9798350378092

This paper proposes a novel blockchain framework aimed at enhancing security measures within food supply chains. By integrating blockchain technology, the framework seeks to ensure transparency, traceability, and tamper-proof data recording throughout the supply chain. The proposed solution addresses common challenges such as food fraud, contamination, and inefficient recall processes by enabling real-time data access and immutable record-keeping. Through theoretical analysis and practical implementation, the study demonstrates the potential of blockchain to significantly improve the integrity and reliability of food supply networks. The findings suggest that blockchain technology not only strengthens security but also enhances the collaboration and trust among all stakeholders involved. © 2024 IEEE.

关键词： Data integrity

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Hybrid Compiler and Hardware Approach to Mitigate Side-Channel Vulnerabilities in Parallel GPU Architectures 8

Hybrid Compiler and Hardware Approach to Mitigate Side-Chann...

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8th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud), I-SMAC 2024

作者： Lungu, Nelson Dash, Bibhuti Bhusan De Chandra, Utpal Dash, Bibek Bikram Pattanayak, Binod Kumar Patra, Sudhansu Shekhar Electrical and Electronical Engineering University of Zambia Lusaka Zambia School of Computer Applications Kiit Deemed to be University Bhubaneswar India HealthWorksAI Bangalore India Iter Siksha 'O' Anusandhan University Department of Computer Science & Engineering Odisha Bhubaneswar India

ISBN: (纸本)9798350376425

Graphics processing units (GPUs) have become ubiquitous in computing systems, from personal devices to data centres. Their massively parallel architecture delivers tremendous performance for graphics and general-purpose workloads. However, the open nature of GPUs also introduces security vulnerabilities that can be exploited through side-channel attacks. Defending against such threats often incurs performance overhead, creating tradeoffs between security and speed. This article examines recent research analysing and mitigating GPU side channel attacks while maintaining acceptable performance and presented a multi-faceted defence strategy combining compiler transformations, runtime monitoring, and microarchitectural techniques to balance security and performance. The methodology integrates formal threat models, empirical side-channel evaluations, and rigorous benchmarking. It implements and evaluates prototypes demonstrating security improvement with minimal impact on representative workloads. The results provide promising directions for practical GPU security defences. © 2024 IEEE.

关键词： Program compilers

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Systematic Review of GAN for Enhancing Efficiency in AI in Gaming

Systematic Review of GAN for Enhancing Efficiency in AI in G...

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2024 International Conference on Advances in Computing Research on science engineering and Technology, ACROSET 2024

作者： Singh, Jasdeep Islam, Sardar M. N. Tewatia, Manav Garg, Deepanshu Fatima, Neda School of Computer Applications Manav Rachna International Institute of Research and Studies Faridabad India Victoria University Department of Computer Science and Engineering Melbourne Australia School of Engineering and Technology Manav Rachna International Institute of Research and Studies Faridabad India

ISBN: (纸本)9798350388800

A thorough analysis of Generative Adversarial Networks (GANs) and how they might be used to improve AI gaming efficiency is presented in this research. Game developers now have never-before-seen possibilities for innovation, immersion, and personalization thanks to GANs, which have become a potent tool for producing realistic data samples across a variety of fields. This review investigates the architecture, training methods, applications, difficulties, and potential future directions of GANs in AI gaming through a thorough analysis of the body of research and publications. The review demonstrates how GANs can transform the game industry by highlighting their many uses in procedural content generation, texture synthesis, character animation, environment design, and content customization. Nevertheless, there are certain difficulties in integrating GANs into AI games, such as computational resources, mode collapse, training instability, and assessment *** well as legal matters. To tackle these obstacles, multidisciplinary research endeavors and cooperation across academic institutions, corporate entities, and regulatory agencies are necessary. Going forward, new avenues for study and developments in GAN technology hold great potential for getting over these roadblocks and opening up fresh possibilities in AI gaming. We can create a future where AI powered gaming experiences change the parameters of interactive entertainment and provide players globally with more engaging, varied, and personalized gaming experiences by utilizing the possibilities of GANs and addressing the related obstacles. © 2024 IEEE.

关键词： Generative adversarial networks

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An Extensive Examination of Different Phases Available in Enhancing the Power of WSN 4

An Extensive Examination of Different Phases Available in En...

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4th IEEE International Conference on Advance Computing and Innovative Technologies in engineering, ICACITE 2024

作者： Gill, Rupali Kumar, Rakesh Pant, Shivani Deepika, A. Al-Fatlawy, Ramy Riad Angadi, Sanjeevkumar Chitkara University Centre of Research Impact and Outreach Punjab Rajpura140401 India Gla University Department of Computer Engineering & Applications Mathura India Uttaranchal Institute of Technology Uttaranchal University Department of Computer Science Engineering Dehradun248007 India India The Islamic University Najaf Iraq Computer Science and Engineering Nutan College of Engineering and Research Pune Maharashtra Talegaon Dabhade India

ISBN: (纸本)9798350360165

In this whole test, we delve into the evolution and transformative ability of Wireless Sensor Networks (WSNs), emphasizing the pivotal position of graphical statistics in elucidating the technological improvements and stressful conditions interior this region. By harnessing the energy of the IEEE 802.15.4 general, this research provides an in-intensity analysis of WSNs' operational efficiencies, energy consumption styles, and network resilience through meticulously designed graphs and information visualizations. These graphical representations now not only offer a easy and concise overview of WSN universal performance metrics but additionally spotlight the giant enhancements completed thru the implementation of a singular WSN framework. The examiner's findings underscore the vital importance of empirical statistics visualization in advancing our knowledge of WSN technologies, offering valuable insights into the optimization strategies that may result in extra power-inexperienced, reliable, and scalable sensor networks. This research contributes to the continued communicate in the subject, paving the manner for future enhancements and programs of WSNs across several sectors. © 2024 IEEE.

关键词： Energy utilization

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A Hybrid Approach for Automated GUI Testing Using Quasi-Oppositional Genetic Sparrow Search Algorithm

A Hybrid Approach for Automated GUI Testing Using Quasi-Oppo...

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2024 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems, ICSES 2024

作者： Jayalakshmi, N. Sakthivel, K. Psna College of Engineering and Technology Department of Computer Applications Tamil Nadu Dindigul India K.S Rangasamy College of Technology Department of Computer Science and Business Systems Tamil Nadu Tiruchengode India

ISBN: (纸本)9798331543617

Testing of GUI is crucial for assessing software reliability, usability, and functionality;however, classical approaches are not sustainable in contemporary applications. It proposes the Quasi-Oppositional Genetic Sparrow Search Algorithm (OOGSSA) to auto-generate efficient GUI test cases. It combines genetic algorithms, sparrow search dynamics, and quasi-oppositional learning to optimize test suites, minimize redundant test cases, and improve the testing fault. The result obtained for the model OOGSSA is 95.8 % in test coverage, 85.3 % in redundancy, and 92.6 % in fault detection. Furthermore, test generation time was minimized to forty minutes and the overall testing time to seventy-five minutes, which is more efficient than conventional genetic or model-based testing. The outcomes presented above show that OOGSSA is highly efficient and effective in solving the issues of the current GUI testing and improving the overall quality and reliability of software. More enhancements to the algorithm will be done in future work as well as leveraging the algorithm to cover a wider GUI space including mobile and web. © 2024 IEEE.

关键词： Software reliability

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