Music generation algorithms have made significant progress in recent years, enabling the development of algorithms to generate creative and realistic music. This survey paper provides a comprehensive overview of music...
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This study presents an improved methodology of wildfire detection in the forest using PyTorch, a wise machine learning framework, and the Flask application for real-time monitoring. Focusing on accuracy and speed in d...
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This research intends to contribute to the ongoing evolution of decentralized financial systems by proposing a novel architecture for a decentralized stock exchange. By analyzing the successes and challenges of existi...
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Over the past few decades, consumers have become increasingly reliant on the convenience of Automated Teller Machines (ATMs) for a variety of banking needs, including transferring funds between accounts, checking acco...
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ISBN:
(数字)9798350354218
ISBN:
(纸本)9798350354218
Over the past few decades, consumers have become increasingly reliant on the convenience of Automated Teller Machines (ATMs) for a variety of banking needs, including transferring funds between accounts, checking account balances, and withdrawing cash from savings, checking, and other account types. This convenience has been further enhanced by mobile banking apps, which allow users to easily locate nearby ATMs. Nevertheless, these advantages have been accompanied by a sharp increase in ATM fraud globally, which has negatively affected consumer trust in banks, credit card companies, and ATMs. The perceived level of security in ATM transactions and the technology that supports these transactions is crucial to maintaining trust. Tackling the risks associated with ATM fraud and reducing its impact is a pressing issue for financial institutions, particularly as fraud techniques have become more advanced and sophisticated. Historically, the verification process for ATM transactions utilized the Plain Old Telephone Service (POTS). However, there has been a shift towards using Ethernet connections to link ATMs with processors, banks, and card issuers. This transition has increased both the size and complexity of the attack surface, presenting new security challenges. Given these heightened security risks, it is imperative for the industry to thoroughly investigate all potential attack surfaces. This research focuses specifically on the Ethernet packets that facilitate these transactions. By examining the structure and predictability of ATM Ethernet traffic, this study aims to provide insights that can help in developing more robust forensic detection methods. Despite the proliferation of retail ATMs in everyday locations, such as shopping centers and convenience stores, this particular attack vector has received relatively little attention in the field of cybersecurity. In this research, we delve into the intricacies of ATM Ethernet traffic, analyzing packet structures to
Plastic waste pollution has become one of the most significant environmental concerns in recent years. The accumulation of plastic waste has been observed in various locations worldwide, leading to environmental damag...
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The increasing prevalence of skin cancer underscores the importance of accurate and efficient diagnostic tools. Deep Convolutional Neural Networks (DCNN) have demonstrated remarkable success in computer vision tasks, ...
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Speech enhancement is essential to front-end speech signal processing, which can effectively improve speech quality and clarity. Complex spectral masking and complex spectral mapping are the main methods for speech en...
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Ethereum, currently the most widely utilized smart contracts platform, anchors the security of myriad smartcontracts upon its own robustness. Its foundational peer-to-peer network facilitates a dependable node connect...
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Ethereum, currently the most widely utilized smart contracts platform, anchors the security of myriad smartcontracts upon its own robustness. Its foundational peer-to-peer network facilitates a dependable node connectionmechanism, whereas an efficient data-sharing protocol constitutes as the bedrock of Blockchain network *** this paper, we propose NodeHunter, an Ethereum network detector implemented through the application ofsimulation technology, which is capable of aggregating all node records within the network and the interconnectednessbetween them. Utilizing this connection information, NodeHunter can procure more comprehensive insightsfor network status analysis compared to preceding detection methodologies. Throughout a three-month period ofunbroken surveillance of the Ethereum network, we obtained an excess of two million node records along with overone hundred million node acquaintances. Analysis of the gathered data revealed that an alarming 49% or more ofthese node records were maliciously forged.
This research delves into examining the forecast of air quality in Coimbatore, India, according to data gleaned from the Central Pollution Control Board (CPCB) specific to the area. The gathered information underwent ...
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In the rapidly changing field of pharmaceutical development, it is crucial to speed up clinical trials in order to introduce effective drugs in a timely manner. Conventional methods of forecasting molecular characteri...
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