HITRUST Overview and AI Assessments Webinar.pptxAmyPoblete3
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This webinar provides an overview of HITRUST, a widely recognized cybersecurity framework, and its application in AI assessments for risk management and compliance. It explores different HITRUST assessment options, including AI-specific frameworks, and highlights how organizations can streamline certification processes to enhance security and regulatory adherence.
cyber hacking and cyber fraud by internet online moneyVEENAKSHI PATHAK
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Cyber fraud is a blanket term to describe crimes committed by cyberattacks via the internet. These crimes are committed with the intent to illegally acquire and leverage an individual's or businesss sensitive information for monetary gain
HITRUST Overview and AI Assessments Webinar.pptxAmyPoblete3
油
This webinar provides an overview of HITRUST, a widely recognized cybersecurity framework, and its application in AI assessments for risk management and compliance. It explores different HITRUST assessment options, including AI-specific frameworks, and highlights how organizations can streamline certification processes to enhance security and regulatory adherence.
cyber hacking and cyber fraud by internet online moneyVEENAKSHI PATHAK
油
Cyber fraud is a blanket term to describe crimes committed by cyberattacks via the internet. These crimes are committed with the intent to illegally acquire and leverage an individual's or businesss sensitive information for monetary gain
Custom Development vs Off-the-Shelf Solutions for Shopify Plus ERP Integratio...CartCoders
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Choosing between custom development and off-the-shelf solutions for Shopify Plus ERP integration? Our latest blog explores the pros and cons to help you decide the best approach for optimizing your eCommerce operations.
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IDM Crack 2025 Internet Download Manger Patchwistrendugftr
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copy & paste もゐ https://filedownloadx.com/download-link/
This project provides a cracked version of IDM, enabling users to use the premium features without purchasing a license. This project is for educational purposes only. Using cracked software is illegal and unethical. We strongly recommend purchasing a legitimate license from the official IDM website to support the developers and respect copyright laws.
Introduction on how unique identifier systems are managed and coordinated - R...APNIC
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Sunny Chendi, Senior Regional Advisor, Membership and Policy at APNIC, presented an 'Introduction on how unique identifier systems are managed and coordinated - RIRs (APNIC for APAC), ICANN, IETF and policy development' at MyAPIGA 2025 held in Putrajaya from 16 to 18 February 2025.
Shopify API Integration for Custom Analytics_ Advanced Metrics & Reporting Gu...CartCoders
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CartCoders offers specialized Shopify integration services to enhance your eCommerce store's functionality and user experience. Connect your Shopify store seamlessly with essential software and applications. Perfect for businesses aiming to streamline operations and boost efficiency.
Elliptic Curve Cryptography Algorithm with Recurrent Neural Networks for Atta...IJCNCJournal
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The increasing use of Industrial Internet of Things (IIoT) devices has brought about new security vulnerabilities, emphasizing the need to create strong and effective security solutions. This research proposes a two-layered approach to enhance security in IIoT networks by combining lightweight encryption and RNN-based attack detection. The first layer utilizes Improved Elliptic Curve Cryptography (IECC), a novel encryption scheme tailored for IIoT devices with limited computational resources. IECC employs a Modified Windowed Method (MWM) to optimize key generation, reducing computational overhead and enabling efficient secure data transmission between IIoT sensors and gateways. The second layer employs a Recurrent Neural Network (RNN) for real-time attack detection. The RNN model is trained on a comprehensive dataset of IIoT network traffic, including instances of Distributed Denial of Service (DDoS), Man-in-the-Middle (MitM), ransomware attacks, and normal communications. The RNN effectively extracts contextual features from IIoT nodes and accurately predicts and classifies potential attacks. The effectiveness of the proposed two-layered approach is evaluated using three phases. The first phase compares the computational efficiency of IECC to established cryptographic algorithms including RSA, AES, DSA, Diffie-Hellman, SHA-256 and ECDSA. IECC outperforms all competitors in key eneration speed, encryption and decryption time, throughput, memory usage, information loss, and overall processing time. The second phase evaluates the prediction accuracy of the RNN model compared to other AI-based models DNNs, DBNs, RBFNs, and LSTM networks. The proposed RNN achieves the highest overall accuracy of 96.4%, specificity of 96.5%, precision of 95.2%, and recall of 96.8%, and the lowest false positive of 3.2% and false negative rates of 3.1%.
![phase_4_presentation[1] - Read-Only.pptx Iot](https://cdn.slidesharecdn.com/ss_thumbnails/phase4presentation1-read-only-250301195122-ec11f187-thumbnail.jpg?width=560&fit=bounds)
