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    Ai'S Cyber Defense: Web Phishing, Apts To Behavior Analytics

    Posted By: ELK1nG
    Ai'S Cyber Defense: Web Phishing, Apts To Behavior Analytics

    Ai'S Cyber Defense: Web Phishing, Apts To Behavior Analytics
    Published 10/2023
    MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
    Language: English | Size: 1.42 GB | Duration: 4h 18m

    Navigating AI Frontiers: From Web Deceptions to Behavioral Cybersecurity Insights

    What you'll learn

    AI transforming cyber security landscape

    Machine Learning for cyber Threat Detection

    Deep Learning for cyber Threat Detection

    AI for cyber threat detection

    Android Malware Detection with AI

    APT detection with AI

    Web Phishing detection with AI

    Social Network Spam Detection with AI

    Anomaly Detection with AI

    User Behavior Analytics with AI

    Ethics and Risks of AI in Security Threat Detection

    Requirements

    Basic knowledge of Python will be good

    Basic knowledge of AI and ML will be good

    Description

    Embark on an enlightening journey through the revolutionary world of "AI's Cyber Defense: Web Phishing, APTs to Behavior Analytics." This meticulously curated course delves deep into the transformative role of artificial intelligence (AI) and machine learning (ML) in redefining the realms of cybersecurity.From the foundational philosophies behind machine learning to its intricate aspects, you'll gain insights into the cutting-edge applications of AI in detecting and countering diverse cyber threats. The course intricacies include:A comprehensive understanding of AI's prowess in combating web phishing and the deception tactics employed by cyber adversaries.Discovering AI-driven strategies to detect and counter social network spam, highlighting the dangers posed by these often overlooked threats.Navigating the treacherous waters of modern malware warfare, with a focus on AI-powered detection mechanisms tailored for both PCs and Android systems.An in-depth exploration of Advanced Persistent Threats (APTs) and the robust AI defenses built to withstand them.An analytical dive into anomaly detection, leveraging AI to revolutionize the way we detect and respond to cyber anomalies.Deciphering the intricacies of user behavior through AI-enhanced analytics, offering a unique vantage point to detect potential security threats based on behavioral patterns.Reflecting on the ethical dimensions and potential risks of AI in the domain of security threat detection, while also strategizing for risk minimization.Envisioning the future of AI in cybersecurity, understanding the emerging trends, challenges, and hands-on methodologies to build robust cybersecurity solutions.Throughout the journey, hands-on labs and practical exercises will immerse you in the world of AI-driven cybersecurity, equipping you with the skills to not only detect but also defend against a myriad of cyber threats. As you reach the culmination, a reflective session will reinforce your mastery over AI for cybersecurity threat detection. Join us, and be at the forefront of the AI-driven cybersecurity revolution!You'll also get:Lifetime Access to The CourseQuick and Friendly Support in the Q&A sectionUdemy Certificate of Completion Enroll now and become a cybersecurity expert with the power of AI on your side!See you in the "AI's Cyber Defense: Web Phishing, APTs to Behavior Analytics" course!With this course you'll surely get 24/7 support. Please feel free to post your questions in the Q&A section and we'll definitely respond to you within 14 hours.

    Overview

    Section 1: Introduction - AI's Cyber Defense: Web Phishing, APTs to Behavior Analytics

    Lecture 1 Introduction - AI's Cyber Defense: Web Phishing, APTs to Behavior Analytics

    Section 2: AI & ML Synergy: Pioneering Cybersecurity Transformations

    Lecture 2 Importance of mastering AI for security threat detection

    Lecture 3 Philosophical Underpinnings of Machine Learning: Conceptual Exploration

    Lecture 4 Intricacies of Machine Learning : Deep Dive into Key Aspects and Explainability

    Lecture 5 Unveiling the Intricacies of Deep Learning in the Context of Cybersecurity

    Lecture 6 Overview of AI based cybersecurity solutions

    Lecture 7 Navigating Implementation of AI in Cybersecurity Threat Detection

    Section 3: AI's Vanguard: Thwarting Web Phishing Threats & Deception

    Lecture 8 Decoding Deceit : The Power of AI in Web Phishing Detection

    Lecture 9 AI’s Tailored Approach to Counter Web Phishing

    Lecture 10 AI-Driven Web Phishing Detection Implementation

    Lecture 11 Lab: Web Phishing Detection with AI and NLP

    Section 4: Decoding & Defending: AI's Strategy for Social Spam Detection

    Lecture 12 Functionality and Detection Flow of Social Network Spam

    Lecture 13 Harnessing AI for Superior Social Network Spam Detection

    Lecture 14 Deciphering Dangers : Exploration of AI-Powered Social Network Spam Detection

    Lecture 15 Implementation of Social Network Spam Detection with AI

    Lecture 16 Lab: Social Network Spam Detection with NLP and AI

    Section 5: Modern Malware Warfare: AI-Powered Detection for Android

    Lecture 17 The Lifecycle of Malware: From Infiltration to Detection

    Lecture 18 Advanced AI-driven Malware Detection: Internals

    Lecture 19 AI based Android Malware Detection Implementation

    Lecture 20 Lab: AI based Android Malware Detector

    Lecture 21 Deciphering Malware: PC vs. Android Threats and the Power of AI in Detection

    Section 6: Decoding & Defending : AI-Driven APT Defense

    Lecture 22 Understanding Advanced Persistent Threats

    Lecture 23 AI-Powered Defense: Strategies to Counteract APTs in Cybersecurity

    Lecture 24 Harnessing AI to Counter Advanced Persistent Threats: AI-based APT Detection

    Lecture 25 Countering APT's with AI Implementation

    Lecture 26 Lab: AI for Countering APT

    Section 7: AI-Enhanced Anomaly Detection : Insights, Impacts, and Implementations

    Lecture 27 Unraveling Anomaly Detection: Techniques, Applications, and Challenges

    Lecture 28 AI Revolutionizing Anomaly Detection in Cybersecurity

    Lecture 29 Deep Dive into Anomaly Detection: AI-Powered Pipeline and Processing

    Lecture 30 Implementation of Isolation Forest for Anomaly Detection

    Lecture 31 Lab: Isolation Forest for Anomaly Detection

    Section 8: Behavioral Patterns Decoded: AI-Powered Advancing User Behavior Analytics

    Lecture 32 Unlocking the Power of AI in Behavioral Analytics

    Lecture 33 AI at the Forefront: Unraveling Behavioral Patterns for Enhanced Security

    Lecture 34 Visualizing the AI-Driven UBA Pipeline with Machine Learning Algorithm

    Lecture 35 Implementation of User Behavior Analytics (UBA) with AI

    Lecture 36 Lab: AI-based User Behavior Analytics

    Section 9: Ethics and Risks of AI in Cybersecurity Threat Detection

    Lecture 37 Ethical Dimensions of AI in Security Threat Detection

    Lecture 38 Risks and Limitation of AI based Security Systems

    Lecture 39 Strategies for risks minimization and use AI ethics in security threat detection

    Section 10: Future of AI in Cybersecurity Threat Detection

    Lecture 40 Pioneering Trends in AI-Driven Cybersecurity Threat Detection

    Lecture 41 AI in Cybersecurity Threat Detection : Opportunities and Challenges

    Lecture 42 Hands-On with AI: Building Robust Cybersecurity Solutions

    Lecture 43 Future of AI in Security Threat Detection: The Road Ahead

    Section 11: Final Thoughts on Mastering AI for Cybersecurity Threat detection

    Lecture 44 Final Thoughts on Mastering AI for Cybersecurity Threat detection

    Anyone who want to enhance skills in cyber security threat detection using ML and AI,Any people who want to create added value to their cyber security business by using powerful Machine Learning, Artificial Intelligence and Deep Learning tools.,AI experts who want to expand on the field of cyber security applications.,Anyone passionate about developing Machine Learning, Deep Learning, NLP and Artificial Intelligence based cyber security applications,Any one who want to start or pursue career in AI based Cyber Security.,Any one who are not comfortable with coding but interested in Machine Learning, Deep Learning, Artificial Intelligence and apply it in cyber security field.,Any one who are not satisfied with their job, but want to become AI Cyber Security Expert