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

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