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7th International Conference on Inventive Computation Technologies, ICICT 2024

作者： Darney, P. Ebby Vallileka, N. Manoj, Sumitha Fernando, A. Vegi Krishnan, R. Santhana Prasath, S. Ram RajaRajeswari College of Engineering Department of Electrical And Electronics Engineering Bangalore India Psna College of Engineering And Technology Department of Computer Applications Dindigul India RajaRajeswari College of Engineering Department of Electronics And Communication Engineering Bangalore India Bangalore Harohalli India Scad College of Engineering And Technology Department of Electronics And Communication Engineering Cheranmahadevi India Scad College of Engineering And Technology Department of Computer Science And Engineering Cheranmahadevi India

ISBN: (纸本)9798350359299

In contemporary vehicular communication systems, Vehicular Ad Hoc Networks (VANETs) serve a crucial role in enabling seamless data exchange among vehicles and infrastructure components. However, the dynamic and unpredictable nature of vehicular environments renders VANETs susceptible to various faults and disruptions, potentially compromising network performance and jeopardizing safety-critical applications. Therefore, the development of robust fault prediction and recovery mechanisms is imperative to ensure the reliability and resilience of VANETs. This research introduces a novel Hybrid Fault Prediction and Recovery Framework for VANETs utilizing the paradigm of Artificial Intelligence (AI) and Federated Internet of Things (IoT). The proposed algorithm, Deep Neural Network with Federated IoT Model (DNN-FIOT), is presented to enhance fault prediction and recovery efficacy in VANET environments. Extensive simulation analyses comparing DNN-FIOT with existing algorithms are conducted, employing suitable simulation metrics. Results demonstrate the superior performance of DNN-FIOT in terms of fault prediction accuracy, recovery time, and network stability. The proposed framework offers a promising solution for robust fault management in VANETs, ensuring uninterrupted vehicular communication and safety. © 2024 IEEE.

关键词： Internet of things

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Generative Adversarial Networks (GANs) in the Wild: applications, Challenges, and Future Prospects 2

Generative Adversarial Networks (GANs) in the Wild: Applicat...

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2nd International Conference on Disruptive Technologies, ICDT 2024

作者： Kumar, Rakesh Chaudhary, Pooja Gupta, Shilpi Singhal, Manoj Gla University Department of Computer Engineering & Applications UP Mathura India UP Ghaziabad India Meerut Institute of Technology Department of Computer Science & Engineering UP Meerut India Gl Bajaj Institute of Technology & Management Department of Information Technology UP Greater Noida India

ISBN: (纸本)9798350371055

Generative adverse Networks (GANs) have become increasingly famous for a variety of tasks in picture and audio processing, especially unsupervised getting to know. GANs encompass components, a 'generator' and a 'discriminator,' that are skilled adversarial. The generator is tasked with producing a pattern of statistics, and the discriminator is tasked with figuring out whether the information is 'actual' or 'fake.' The generator 'learns' through trial and mistakes as it attempts to create samples that appear practical to the discriminator. Through the antagonistic schooling manner, the generator can create more accurate 'fake' records while the discriminator can emerge as better at distinguishing between 'actual' and 'faux' records. GANs have been applied to various duties, which include picture era, textual content to photosynthesis, photo-to-image translation, and automatic music composition. Recent tries have been made to apply GANs to extra complicated obligations in the wild, including self-reliant use and drug discovery. GANs have inspired an ever-developing quantity of industries because of their potential to generate sensible facts with minimal human input. © 2024 IEEE.

关键词： antagonistic complicated discriminator photosynthesis potential

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Analysis of Various Image Segmentation Techniques on Retinal OCT Images 3

Analysis of Various Image Segmentation Techniques on Retinal...

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3rd International Conference on Artificial Intelligence and Smart Energy, ICAIS 2023

作者： Sheeba, T.M. Albert Antony Raj, S. Anand, M. Srm Institute of Science and Technology College of Science and Humanities Department of Computer Applications Chennai India Srm Institute of Science and Technology College of Engineering and Technology Department of Networking and Communications Chennai India

ISBN: (纸本)9781665462167

Image segmentation is one of the most important processes involved in image processing. Segmenting an image is breaking it up into smaller pieces, or segments. These are the areas where it is most helpful because processing the complete image would be inefficient for tasks like object recognition or image compression. Image segmentation is the process of dividing an image's elements for further processing. This article looked at a number of image segmentation techniques, including the threshold approach, edge-based method, and clustering-based method. The segmentation method that is most effective for separating images in OCT images is clustering-based segmentation. To reduce the speckle noise during preprocessing, the wiener filter approach is used. With regards to the threshold, edge-based (Sobel, Canny, Robert's), and clustering-based segmentation techniques, calculate MSE (mean square error) and PSNR (peak signal to noise ratio) values for the segmented image quality. © 2023 IEEE.

关键词： Image segmentation

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Protecting machine learning systems using blockchain: solutions, challenges and future prospects

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Multimedia Tools and applications 2024年 1-28页

作者： Hajlaoui, Rejab Dhahri, Salah Mahfoudhi, Sami Moulahi, Tarek Alotibi, Gaseb Department of Computer and Informtion Sciences College of Computer Science and Engineering University of Hail Hail City Saudi Arabia Laboratory of Advanced Multifunctional Materials and Technological Applications Faculty of Science and Technology of Sidi Bouzid University of Kairouan Sidi Bouzid Tunisia Department of Information and Technology Management Mediterranean School of Business South Mediterranean University Tunis Tunisia Department of Information Technology College of Computer Qassim University Buraidah Saudi Arabia Department of Computers and Information Technology Alwajah College University of Tabuk Tabuk Saudi Arabia

Machine learning-based systems have emerged as the primary means for achieving the highest levels of productivity and efficiency. They have become the most influential competitive factor for many technologies and business companies such as Cloud AI Companies (Google, Facebook…) and Health Care AI Companies (Tempus, Nanox …). However, privacy and security issues have become the biggest challenge facing all ML applications. These threats are known as Adversarial Machine Learning (AML). Their main goal is to maliciously manipulate training data and model parameters to obtain misleading results. To overcome these challenges, several research studies have proven that Blockchain, which relies on cryptographic technologies, constitutes a promising solution for securing ML applications. It provides high guarantees to make the system scalable, reliable and more secure. In this survey, we provide an overview of ML applications and the most hostile attacks they face. Then, we define the blockchain technique and its distinctive features. After that, we conduct a comprehensive and detailed survey of the latest and best blockchain-based research to address security issues in ML applications (integrity, confidentiality and availability). We analyze, compare and comment on all the proposed solutions. In the end, we discuss in detail the various challenges that hinder the adoption of blockchain technology and we extract the most important scientific trends that will serve as guidance and support for researchers in their future works. © The Author(s), under exclusive licence to Springer science+Business Media, LLC, part of Springer Nature 2024.

关键词： Blockchain

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GPU Side-Channel Attack Classification for Targeted Secure Shader Mitigation

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SN computer science 2024年第8期5卷 1-23页

作者： Lungu, Nelson Patra, Sudhansu Shekhar Mishra, Manoj Ranjan Dash, Bibhuti Bhusan Sasmal, Gopal Charan Pattnayak, Parthasarathi Singh, Satyendr Gourisaria, Mahendra Kumar Department of Electrical and Electronics Engineering University of Zambia Lusaka Zambia School of Computer Applications Kalinga Institute of Industrial Technology (KIIT) Deemed to be University Bhubaneswar India MCA Department Trident Academy of Creative Technology Bhubaneswar India Computer Science and Engineering Department BML Munjal University Gurugram India School of Computer Engineering Kalinga Institute of Industrial Technology (KIIT) Deemed to be University Bhubaneswar India

Graphics processing units (GPUs) provide massively parallel processing capabilities, enabling accelerated computation across diverse applications. However, their parallel architecture and shared resources also introduce significant security vulnerabilities, especially side-channel attacks that can compromise sensitive data. This article presents a systematic classification of GPU side-channel attack vectors, including power analysis, timing analysis, electromagnetic analysis, and combined attacks. This taxonomy proposes countermeasures for the NVIDIA GeForce RTX 3090 GPU to mitigate these threats. The countermeasures encompass hardware techniques such as isolated execution environments, secure memory partitioning, and hardware random number generators to reduce the attack surface. Software methods, including constant-time algorithms, data-independent execution paths, masking, and oblivious memory access, are also implemented to eliminate timing and cache side channels. Comprehensive experiments demonstrate the effectiveness of the countermeasures, achieving up to 95% reduction in power analysis leakage, 90% in timing analysis, and 92% in electromagnetic analysis with acceptable performance overheads. The secure shader programming framework provides robust mitigation against GPU side-channel attacks while maintaining efficiency and compatibility with the RTX 3090 architecture. This work contributes vital insights and solutions for analysing GPU security vulnerabilities, designing focused countermeasures, and enabling confidential computing leveraging modern GPU capabilities. © The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd. 2024.

关键词： Graphics processing units security Hardware countermeasures NVIDIA GeForce RTX 3090 Secure shader Side-channel attacks Software mitigation

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A novel three-phase hybrid cryptographic algorithm for data security

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International Journal of Information Technology (Singapore) 2024年第5期17卷 3025-3033页

作者： Pooja Shalu Shyla Sangwan, Yogita Shivahare, Basu Dev School of Computer Science Engineering and Technology Bennett University Greater Noida Uttar Pradesh Noida India Manav Rachna University Haryana Faridabad India Bharati Vidyapeeth’s College of Engineering Delhi India Department of Computer Science and Applications Kurukshetra University Haryana Kurukshetra India School of Computing Science and Engineering Galgotias University Greater Noida Uttar Pradesh Noida India

Cryptography is crucial for ensuring the data security in wireless sensor networks. The real data is altered or concealed using several hashing techniques before transmission across the network. But, these traditional techniques are not reliable in attaining security at multiple phases in the network. Thus, the given paper proposes a novel Three-Phase Hybrid Cryptographic (TPHC) algorithm which makes use of both symmetric and asymmetric cryptographic methods. It provides authentication and confidentiality using modified Rivest–Shamir–Adleman (RSA), advanced encryption standard (AES), and data encryption standard (DES). To provide integrity, TPHC is additionally paired with a revolutionary hashing method. The proposed hash function adheres to all four of the basic hashing properties: one-way, resistance to second pre-images, collision resistance, and avalanche effect. The results of this study demonstrate that TPHC has a good execution speed and a unique hashing technique that generates reduced message digests as compared with existing hashing algorithms. The TPHC algorithm excels in terms of computation speed, cipher text compactness, digest size, and energy efficiency within WSN’s. © Bharati Vidyapeeth's Institute of computer applications and Management 2024.

关键词： AES DES Hybrid cryptographic algorithm and hashing Modified-RSA

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Self-moving Window with Long-Short Term Memory based Anomaly Detection in Edge-Assisted IoT Environments

Self-moving Window with Long-Short Term Memory based Anomaly...

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

作者： Chanti, Yerrolla Adnan, Myasar Mundher Devi, R. Renuga Lakshmanan, M. Madhavi, Arelli Sr University School of Computer Science & Artificial Intelligence Warangal India The Islamic University College of Technical Engineering Department of Computers Techniques Engineering Najaf Iraq Srm Institute of Science and Technology Department of Computer Science and Applications Ramapuram India Nitte Meenakshi Institute of Technology Department of Eee Bengaluru India Gokaraju Rangaraju Institute of Engineering and Technology Department of Ai&ml Bachupally India

ISBN: (纸本)9798350375442

Internet of Things (IoT) systems is widely used in many applications which generate huge amounts of sensory signals that involves to signify the state of systems. However, due to changes in IoT environment impact the detection of anomalies accurately which lead to risk of losing information. To overcome this limitation, a Self-moving Window with Long Short-Term Memory (SW-LSTM) is proposed for accurate detection of anomalies. The self-moving window improved the ability of LSTM to identify subtle anomalies that evolve over time, leading to more accurate detection of unusual patterns or device behavior in IoT environments. Initially, the data about attacks and malicious nodes are acquired from the UNSW-15 dataset and preprocessed by score normalization technique. Then, the optimal set of features are selected by Particle Swarm Optimization (PSO) algorithm. Finally, the proposed SW-LSTM model detects the anomalies in edge assisted IoT network effectively. The experimental results of proposed method achieved accuracy of 93.4% which is greater when compared to existing detection approaches such as Recurrent Neural Network (RNN), Convolutional Neural Network (CNN). © 2024 IEEE.

关键词： Particle swarm optimization (PSO)

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A Comprehensive Analysis of Cloud Computing in Wireless Communications 2

A Comprehensive Analysis of Cloud Computing in Wireless Comm...

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2nd International Conference on Disruptive Technologies, ICDT 2024

作者： Bansal, Anurag Sharma, Surbhi Shukla, Ajay Narayan Badhoutiya, Arti Research and Technology 13D Research & Strategy India Abes Engineering College Department of Computer Applications UP Ghaziabad India Computer Science & Engineering Graphic Era Hill University Uttarakhand Dehradun India Gla University Department of Electrical Engineering UP Mathura India

ISBN: (纸本)9798350371055

In the present-day digital landscape, cloud computing has grown to be a ubiquitous generation that offers numerous advantages to numerous businesses. Its software in wi-fi communications has had a mainly revolutionary effect, ultimately converting how data is transferred, considered, and saved. This looks at a thorough examination of how cloud computing has affected wireless communications, including its records, most important ideas, and programs. The primary phase of the object appears to be how cloud computing has changed over the years, moving from conventional on-premise computing to its current country, which includes a spread of service offerings and deployment methodologies. Subsequently, it explores the fundamental thoughts of cloud computing, which have virtualization, scalability, and on-demand provisioning, and talks about how these apply to wireless communications. The ability of cloud computing to grow network availability and dependability is one of its primary benefits for wi-fi communications. Using cloud-based computing and garage sources, network operators may additionally lower downtime and increase uptime for their services. They can also better manage unforeseen surges in community visitors and provide a higher user revel. The look additionally addresses how cloud computing helps the short rollout of the latest services and packages within the wireless communications industry. © 2024 IEEE.

关键词： Cloud Computing Data Storage Mobile Technology Network Security Wireless Communications

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Performance Enhancement of a Vertical Axis Wind Turbine (NACA 25112) Using Deflector Plates as an Augmenter 2nd

Performance Enhancement of a Vertical Axis Wind Turbine (NAC...

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2nd International Conference on Advances in Mechanical engineering and Material science, ICAMEMS 2023

作者： Kumar, Karthik Selva Jaseel, Mohammed Brintha, R. Devi, Aruna Jaiswal, Krishna Kumar Sangmesh, B.M. Suresh, A. Balaji, P.S. Department of Green Energy Technology Pondicherry University Puducherry India Department of Computer Applications Saradha Gangadharan College Puducherry India Department of Computer Science and MIS OCMT Barka Oman Department of Mechanical Engineering NIT Warangal Hanamkonda India Department of Mechanical Engineering NIT Rourkela Rourkela India

ISBN: (纸本)9789819956128

In order to overcome the self-starting issues in vertical axis wind turbines (VAWT), it is proposed to introduce the deflector plates as a power augmenter. In this study, a computational analysis on a wind turbine rotor with three-bladed NACA 25112 has been performed to understand the significance of power augmenters and their impact on the overall performance of the wind energy conversion system. The rotor motion of the proposed model has been simulated by introducing a sliding mesh technique with reference to the SST-turbulence model. The simulation has been performed at different flow velocities ranging from 4 to 7 m/s to understand the effects of power augmenters with respect to the enhancement in the initial torque. The observed results showed a significant improvement in the enhancement of initial torque, the aerodynamic behavior of the airfoils, and the power coefficient of the wind turbine. © 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Vertical axis wind turbine

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Cloud Top Management Role in Reducing Mobile Broadband Transmission Hazards and Offering Safety 3

Cloud Top Management Role in Reducing Mobile Broadband Trans...

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3rd International Conference on Advance Computing and Innovative Technologies in engineering, ICACITE 2023

作者： Manjunath, C.R. Sharma, Sachin Sharma, Aditi Sunil Kumar, M. Kelkar, Sandeep Vishal Deshmukh, Sheetal Department of Computer Science and Engineering Bangalore India Dev Bhoomi Uttarakhand University Department of Computer Science and Engineering Uttarakhand Dehradun India Parul University PIT Department of Computer Science and Engineering Gujarat Vadodara India Mohan Babu University Erstwhile SreeVidyanikethan Engineering College Department of Computer Science and Engineering AP Tirupathi India Prin L.N. Welingkar Institute of Management Development and Research India Yashwantrao Mohite Institute of Management Department of Computer Applications Karad India

ISBN: (纸本)9798350399264

In both the academic and industrial worlds, cloud technology is becoming a widely used research area. Both providers of cloud services and consumers profit from cloud computation. The literature has mostly focused on the security issues related to the cloud. This thorough literature study's objective is to assess the state of knowledge on dangers, difficulties, and privacy for public cloud. This studies from different countries at the areas of study that some well rising institutions are focusing between on 2010. and 2020. We chose 81 papers after carefully examining several attempts to solve the stated research issues. The study's results revealed seven serious security threats to internet data centres. The results revealed that a few of the extensively covered subjects with in chosen works included data modification and leaking. Network discontinuities, storing, and information inside the realm of public cloud were also recognised potential threats. The findings of this Study also shown that CSPs and internet users alike still have difficulties when reassessing client data. The cryptocurrency was identified in our research report as an innovation activitythat would help to allay security worries. The SLR findings reveal a few things that should be done in efforts to provide categorization, legitimacy, and information availability in the present. © 2023 IEEE.

关键词： Industrial research

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