Performance Analysis of Cyber Security Forensic Evidence Analysis скачать в хорошем качестве

Performance Analysis of Cyber Security Forensic Evidence Analysis

Title: - Machine Learning Approaches for Cyber Security-Assisted IOT Forensic Evidence Analysis ---------------------------------------------------------------------------------------------- Implementation Plan: --------------------- Step 1: Initially, We will create a 5G Network, it consists of 100- IOT Devices, 2 IOT Gateway 1- Trust Authority and 1 Blockchain. Step 2: Next We perform the Secured Authentication process for IoT devices using Elliptic Curve Integrated Encryption Scheme (ECIES) Algorithm. Step 3: Next We perform the Double layer based Packet Verification process using Logistic Regression and Genetic Optimization (LogiGen optimizer) and Random Forest with a Rule-Based System (RF-RBS) Algorithm. Step 4: Next We perform the Decentralised Evidence Collection process using BLAKE2 Algorithm. Step 5: Next We perform the Forensic Investigation Process using Actor-Critic with Experience Replay with Random Forest (A-C with ER-RF) Algorithm. Step 6: Next We perform Performance metrics such as 6.1) Number of devices vs. Authentication time 6.2) Number of malicious packets vs. detection accuracy 6.3) Number of devices vs. delay 6.4) Number of devices vs. throughput 6.5) Number of devices vs. Evidence insertion time 6.6) Number of devices vs. Evidence verification time 6.7) Transactions vs. block generation time 6.8) Total number of transactions vs. energy efficiency 6.9) Number of evidence vs. Computational overhead [The process based on your requirement] Software Requirement: ---------------------- 1. Development Tool: Ns 3.35 with python 2. Operating System: Ubuntu 22.04 LTS Note: ------ 1) Please note that this implementation plan does not include any further steps after it is put into implementation. 2) This project is only based on simulations. Not a real time project. 3) If the above plan satisfies your requirement please confirm with us. We perform the EXISTING process based on the Reference 3: Title: Crypto‑Preserving Investigation Framework for Deep Learning Based Malware Attack Detection for Network Forensics ////////////////////////////////////////////////////////////////////////////////////////////////////////////// #CyberSecurityForensics #DigitalEvidenceAnalysis #PerformanceAnalysis #ForensicInvestigation #CyberCrimeAnalysis #DigitalForensics #EvidenceAnalysis #SecurityInvestigation #CyberForensics #DataBreachAnalysis #dataprotection -------------------------------------------------------------------------------------------------------------- We are pleased to offer our assistance to research scholars in providing guidance on a wide range of topics and ideas for their research endeavours. In the above-mentioned video, we have provided support to our research scholars in their selection of PhD topics. mail us at : topicphd@gmail.com visit us at : https://phdtopic.com/ call us at : +91 900 344 6899