Huge offers and discounts make more rush in markets and also social distancing is very important in this pandemic situation. In super markets normally customers get a trolley in which they put all the items intended to be purchased from different shelves.
Adulteration is an intense issue that poses dangerous health problems to numerous in India. In every items there is degradation. Starting from the everyday food, it progresses toward the life saving prescriptions.
The remote sensor local area (WSN) with fluctuating environs is most likely inclined to different types of vindictive digital attacks, and they're regularly relying upon the verification and encryption calculation to amaze this task.
The possibility of programmable organizations has presently re-picked up significant speed because of the rise of the product depicted Networking (SDN) worldview.
Guaranteeing security without compromising the exhibition and adaptability of a gadget is basically an exceptionally difficult endeavor for Researchers and Practitioners Approximate circuits (AxCs) tradeoff computational exactness against upgrades in equipment place, put off, or power consumption.
The rapid advancement of digital technologies has made automation in IT incident management a crucial tool for reducing financial losses and improving operational efficiency. Despite its importance, the financial implications of automation investments remain inadequately explored. This study presents a comprehensive cost-benefit analysis of implementing automation in IT incident management, focusing on its impact on operational costs and financial losses.
The increasing prevalence of wireless networks has made them a prime target for cyber threats and unauthorized access. Effective intrusion detection in such environments is crucial to maintaining network security and integrity. This study presents a novel approach to wireless network intrusion detection by leveraging a modified CatBoost algorithm, enhanced through Whale Optimization Algorithm (WOA)-based hyperparameter tuning. CatBoost, a gradient boosting framework, is adapted with modifications to better handle the unique challenges of intrusion detection, including class imbalance and high-dimensional data.
The proliferation of Fintech applications has dramatically transformed the financial services industry, offering unprecedented levels of convenience, efficiency, and accessibility to consumers and businesses alike. This transformation is largely driven by the extensive use of Application Programming Interfaces (APIs), which enable seamless integration and communication between diverse financial systems and services. However, the increased reliance on APIs has concurrently introduced significant security challenges, necessitating a deeper examination and robust approach to securing these critical interfaces.
This paper examines a growing concern in the world regarding environmental conservation or possibly sustainable environment, which has brought forth a high demand for energy-efficient refrigeration technologies, mainly with respect to greenhouse gases (GHG). Chlorofluorocarbons (CFCs) and hydrofluorocarbons (HFCs) used as conventional refrigerants are very much involved in global warming and depletion of the ozone layer, owning to high GWP. Hence, within the mechanical engineering domain, a significant amount of effort has been made to focus on superior substances which can be used as low-GWP refrigerants.
One of the innovations making organizations experiment with new ways of storing and processing their information is cloud computing; it presents them with both the chance and the threat. Limitations of conventional security models of perimeter protection that are based on the assumption of the security of all devices inside the network are also becoming critical under the conditions of active cyber threats and the sharing of cloud environments. There is a more recent and rather comprehensive approach called Zero Trust Architecture or Zero Trust Extended or Zero Trust Tourism commonly referred to by its mantra of never trust, always verify.
In today's digital era, the financial sector increasingly relies on cloud data management to enhance efficiency, scalability, and innovation. However, this shift brings significant data privacy challenges, especially with stringent regulations like GDPR, CCPA, and others worldwide. Understanding the implications of these data privacy regulations on cloud data management practices is crucial for fintech organizations. This article delves into the complexities of maintaining data privacy while leveraging cloud services in the financial sector.
Business intelligence and analytics have known the importance of data warehouses as key substructures for capturing, storing, organizing, and facilitating the analysis of massive volumes of information. The combination of data warehousing with BI tools offers a systematic approach to the collection of information, the general improvement of decision-making processes, the accuracy of the data, and the efficiency of performance results. In this abstract, one is taken through an evaluation of how data warehousing aids in the enhancement of BI systems. In particular, it focuses on the following topics: how data warehousing works and how it converts raw data into useful information, architectures that are used to support this process, and new technologies such as BI analytics that changed the business.
Data science is revolutionizing oncology by shifting towards precision medicine. Given the availability of enormous volumes of data such as genomics, clinic history, and patient outcome, data driven approach provides the best opportunity for effective cancer treatment. Advanced methods of data analysis, such as machine learning including artificial intelligence, are also helping in the discovery of new biomarkers, prognosis of treatment outcomes and learning of therapeutic regimens.
Advertiser fraud is a significant risk factor for the advertising industry, especially for programmatic advertising, since bidding and automation make it possible for fraudsters to manipulate the system quickly without being noticed. These activities include clicking fraud, bot traffic, and domain spoofing, which results in cash losses and affects ROI by channeling the advertisement budget towards fake impressions or fake clicks that do not provide for the traffic from the target audience. Programmatic ad technologies and ad fraud have advanced, with IP blocking and manual approaches inadequate in dealing with its scale and velocity.
The rise of cloud-native architectures has transformed the way organizations manage and process data. Data engineering in the cloud involves building scalable, resilient, and automated pipelines that can handle large volumes of data in real-time. This paper explores the design principles, tools, and methodologies for data engineering in cloud-native environments. By focusing on cloud services such as Kubernetes, Docker, serverless computing, and container orchestration, the paper highlights the advantages of cloud-native systems for modern data architectures. A case study and performance analysis are presented to demonstrate the efficiency and scalability of these architectures.
Automation of Shopping Mart by Self-Checkout System using IOT
Aravinda Rajan V, Akshaya R G,Ligori Pastina A,Gowsalya S, Lavanya S
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Huge offers and discounts make more rush in markets and also social distancing is very important in this pandemic situation. In super markets normally customers get a trolley in which they put all the items intended to be purchased from different shelves.
Iot Based Milk Monitoring System for the Detection of Milk Adulteration
Dr. P. Ganesh Kumar, A.Alagammai, B.S.Madhumitha, B.Ishwariya
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Adulteration is an intense issue that poses dangerous health problems to numerous in India. In every items there is degradation. Starting from the everyday food, it progresses toward the life saving prescriptions.
Blockchain based Secure and Energy Efficient Routing Protocol for Wireless Sensor Networks
A. Antony Simeon Raj, K. Jebastin, B. Vadivel
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The remote sensor local area (WSN) with fluctuating environs is most likely inclined to different types of vindictive digital attacks, and they're regularly relying upon the verification and encryption calculation to amaze this task.
Multi Objective FSSO Optmized Vertical Handoff Algorithm for Software Defined Access Network
Jerry James, Sakthi Murugan, B. Vadivel
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The possibility of programmable organizations has presently re-picked up significant speed because of the rise of the product depicted Networking (SDN) worldview.
Cube Stripping Function and Logic Restoration Based Hardware Security
Suresh Kannan P, Rangarajan J, Selvi C
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Guaranteeing security without compromising the exhibition and adaptability of a gadget is basically an exceptionally difficult endeavor for Researchers and Practitioners Approximate circuits (AxCs) tradeoff computational exactness against upgrades in equipment place, put off, or power consumption.
Cost-Benefit Analysis of Implementing Automation in IT Incident Management to Minimize Financial Losses
Amit Mangal
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The rapid advancement of digital technologies has made automation in IT incident management a crucial tool for reducing financial losses and improving operational efficiency. Despite its importance, the financial implications of automation investments remain inadequately explored. This study presents a comprehensive cost-benefit analysis of implementing automation in IT incident management, focusing on its impact on operational costs and financial losses.
Wireless Network Intrusion Detection: A Comprehensive Evaluation of Modified Catboost Classification Models
Vikram Nattamai Sankaran, Dr. A. Punitha, Rakesh Thoppaen Suresh Babu
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The increasing prevalence of wireless networks has made them a prime target for cyber threats and unauthorized access. Effective intrusion detection in such environments is crucial to maintaining network security and integrity. This study presents a novel approach to wireless network intrusion detection by leveraging a modified CatBoost algorithm, enhanced through Whale Optimization Algorithm (WOA)-based hyperparameter tuning. CatBoost, a gradient boosting framework, is adapted with modifications to better handle the unique challenges of intrusion detection, including class imbalance and high-dimensional data.
Threat Modeling and Risk Assessment of APIs in Fintech ApplicationsPiyush Ranjan, Akhil Khunger, Chalamayya Batchu Veera Venkata
Satya, Sumit Dahiya
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The proliferation of Fintech applications has dramatically transformed the financial services industry, offering unprecedented levels of convenience, efficiency, and accessibility to consumers and businesses alike. This transformation is largely driven by the extensive use of Application Programming Interfaces (APIs), which enable seamless integration and communication between diverse financial systems and services. However, the increased reliance on APIs has concurrently introduced significant security challenges, necessitating a deeper examination and robust approach to securing these critical interfaces.
The Impact of Low-GWP Refrigerants on Environmental Sustainability: An Examination of Recent Advances in Refrigeration
SystemsAnkitkumar Tejani, Harsh Gajjar, Vinay Toshniwal, Rashi Kandelwal
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This paper examines a growing concern in the world regarding environmental conservation or possibly sustainable environment, which has brought forth a high demand for energy-efficient refrigeration technologies, mainly with respect to greenhouse gases (GHG). Chlorofluorocarbons (CFCs) and hydrofluorocarbons (HFCs) used as conventional refrigerants are very much involved in global warming and depletion of the ozone layer, owning to high GWP. Hence, within the mechanical engineering domain, a significant amount of effort has been made to focus on superior substances which can be used as low-GWP refrigerants.
Zero Trust in the Cloud: Implementing Zero Trust Architecture for Enhanced Cloud SecurityHimanshu Sharma
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One of the innovations making organizations experiment with new ways of storing and processing their information is cloud computing; it presents them with both the chance and the threat. Limitations of conventional security models of perimeter protection that are based on the assumption of the security of all devices inside the network are also becoming critical under the conditions of active cyber threats and the sharing of cloud environments. There is a more recent and rather comprehensive approach called Zero Trust Architecture or Zero Trust Extended or Zero Trust Tourism commonly referred to by its mantra of never trust, always verify.
Data Privacy and Compliance in Cloud Data Management for FintechAbhilash Katari, Rahul Vangala
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In today's digital era, the financial sector increasingly relies on cloud data management to enhance efficiency, scalability, and innovation. However, this shift brings significant data privacy challenges, especially with stringent regulations like GDPR, CCPA, and others worldwide. Understanding the implications of these data privacy regulations on cloud data management practices is crucial for fintech organizations. This article delves into the complexities of maintaining data privacy while leveraging cloud services in the financial sector.
Impact of Data Warehousing on Business Intelligence and AnalyticsSantosh Kumar Singu
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Business intelligence and analytics have known the importance of data warehouses as key substructures for capturing, storing, organizing, and facilitating the analysis of massive volumes of information. The combination of data warehousing with BI tools offers a systematic approach to the collection of information, the general improvement of decision-making processes, the accuracy of the data, and the efficiency of performance results. In this abstract, one is taken through an evaluation of how data warehousing aids in the enhancement of BI systems. In particular, it focuses on the following topics: how data warehousing works and how it converts raw data into useful information, architectures that are used to support this process, and new technologies such as BI analytics that changed the business.
Precision Medicine in Oncology: How Data Science is Revolutionizing Cancer TreatmentRajesh Munirathnam
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Data science is revolutionizing oncology by shifting towards precision medicine. Given the availability of enormous volumes of data such as genomics, clinic history, and patient outcome, data driven approach provides the best opportunity for effective cancer treatment. Advanced methods of data analysis, such as machine learning including artificial intelligence, are also helping in the discovery of new biomarkers, prognosis of treatment outcomes and learning of therapeutic regimens.
Navigating Ad Fraud in the Age of AI: Techniques for Detection and Prevention in Programmatic AdvertisingAnkush Singhal
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Advertiser fraud is a significant risk factor for the advertising industry, especially for programmatic advertising, since bidding and automation make it possible for fraudsters to manipulate the system quickly without being noticed. These activities include clicking fraud, bot traffic, and domain spoofing, which results in cash losses and affects ROI by channeling the advertisement budget towards fake impressions or fake clicks that do not provide for the traffic from the target audience. Programmatic ad technologies and ad fraud have advanced, with IP blocking and manual approaches inadequate in dealing with its scale and velocity.
Data Engineering in Cloud-Native ArchitecturesNishanth Reddy Mandala
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The rise of cloud-native architectures has transformed the way organizations manage and process data. Data engineering in the cloud involves building scalable, resilient, and automated pipelines that can handle large volumes of data in real-time. This paper explores the design principles, tools, and methodologies for data engineering in cloud-native environments. By focusing on cloud services such as Kubernetes, Docker, serverless computing, and container orchestration, the paper highlights the advantages of cloud-native systems for modern data architectures. A case study and performance analysis are presented to demonstrate the efficiency and scalability of these architectures.