
{"id":27187,"date":"2024-02-29T12:16:30","date_gmt":"2024-02-29T13:16:30","guid":{"rendered":"https:\/\/express24.ir\/d\/product\/%da%a9%d8%aa%d8%a7%d8%a8-%db%8c%d8%a7%d8%af%da%af%db%8c%d8%b1%db%8c-%d9%85%d8%a7%d8%b4%db%8c%d9%86-%d8%a8%d8%b1%d8%a7%db%8c-%d8%af%d8%b3%d8%aa%d9%88%d8%b1-%d8%a2%d8%b4%d9%be%d8%b2%db%8c-%d8%a7%d9%85\/"},"modified":"2024-02-29T12:16:31","modified_gmt":"2024-02-29T13:16:31","slug":"%da%a9%d8%aa%d8%a7%d8%a8-%db%8c%d8%a7%d8%af%da%af%db%8c%d8%b1%db%8c-%d9%85%d8%a7%d8%b4%db%8c%d9%86-%d8%a8%d8%b1%d8%a7%db%8c-%d8%af%d8%b3%d8%aa%d9%88%d8%b1-%d8%a2%d8%b4%d9%be%d8%b2%db%8c-%d8%a7%d9%85","status":"publish","type":"product","link":"https:\/\/express24.ir\/d\/product\/%da%a9%d8%aa%d8%a7%d8%a8-%db%8c%d8%a7%d8%af%da%af%db%8c%d8%b1%db%8c-%d9%85%d8%a7%d8%b4%db%8c%d9%86-%d8%a8%d8%b1%d8%a7%db%8c-%d8%af%d8%b3%d8%aa%d9%88%d8%b1-%d8%a2%d8%b4%d9%be%d8%b2%db%8c-%d8%a7%d9%85\/","title":{"rendered":"\u06a9\u062a\u0627\u0628 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0628\u0631\u0627\u06cc \u062f\u0633\u062a\u0648\u0631 \u0622\u0634\u067e\u0632\u06cc \u0627\u0645\u0646\u06cc\u062a \u0633\u0627\u06cc\u0628\u0631\u06cc: \u0628\u06cc\u0634 \u0627\u0632 80 \u062f\u0633\u062a\u0648\u0631 \u0627\u0644\u0639\u0645\u0644 \u062f\u0631 \u0645\u0648\u0631\u062f \u0646\u062d\u0648\u0647 \u0627\u062c\u0631\u0627\u06cc \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0628\u0631\u0627\u06cc \u0633\u06cc\u0633\u062a\u0645 \u0647\u0627\u06cc \u0627\u0645\u0646\u06cc\u062a\u06cc \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u067e\u0627\u06cc\u062a\u0648\u0646"},"content":{"rendered":"<p>&nbsp;<\/p>\n<div style=\"text-align: center;\"><img decoding=\"async\" title=\"\u062f\u0627\u0646\u0644\u0648\u062f \u06a9\u062a\u0627\u0628 Machine Learning for Cybersecurity Cookbook: Over 80 recipes on how to implement machine learning algorithms for building security systems using Python\" src=\"https:\/\/express24.ir\/d\/wp-content\/uploads\/2024\/02\/9781789614671.jpg\" alt=\"\u062f\u0627\u0646\u0644\u0648\u062f \u06a9\u062a\u0627\u0628 Machine Learning for Cybersecurity Cookbook: Over 80 recipes on how to implement machine learning algorithms for building security systems using Python\" \/><\/div>\n<table class=\"table table-striped table-hover\">\n<tbody>\n<tr>\n<td>\n<h3>\u0639\u0646\u0648\u0627\u0646 \u06a9\u062a\u0627\u0628 \u0628\u0647 \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc:<\/h3>\n<\/td>\n<td>\n<h3>Machine Learning for Cybersecurity Cookbook: Over 80 recipes on how to implement machine learning algorithms for building security systems using Python<\/h3>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<table class=\"table table-striped table-hover\">\n<tbody>\n<tr>\n<td>\u0633\u0627\u0644 \u0627\u0646\u062a\u0634\u0627\u0631: 2018\u00a0\u00a0|\u00a0\u00a0338 \u0635\u0641\u062d\u0647\u00a0\u00a0|\u00a0\u00a0\u062d\u062c\u0645 \u0641\u0627\u06cc\u0644: 50 \u0645\u06af\u0627\u0628\u0627\u06cc\u062a\u00a0\u00a0|\u00a0\u00a0\u0632\u0628\u0627\u0646: \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<table class=\"table table-striped table-hover\">\n<tbody>\n<tr>\n<td>\u0646\u0648\u06cc\u0633\u0646\u062f\u0647<\/td>\n<td>Emmanuel Tsukerman<\/td>\n<\/tr>\n<tr>\n<td>\u0646\u0627\u0634\u0631<\/td>\n<td>Packt Publishing<\/td>\n<\/tr>\n<tr>\n<td>ISBN10:<\/td>\n<td>1789614678<\/td>\n<\/tr>\n<tr>\n<td>ISBN13:<\/td>\n<td>9781789614671<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u06a9\u062a\u0627\u0628<\/h2>\n<div style=\"direction: ltr;\">Learn how to apply modern AI to create powerful cybersecurity solutions for malware, pentesting, social engineering, data privacy, and intrusion detection<br \/>\nKey FeaturesManage data of varying complexity to protect your system using the Python ecosystem<br \/>\nApply ML to pentesting, malware, data privacy, intrusion detection system(IDS) and social engineering<br \/>\nAutomate your daily workflow by addressing various security challenges using the recipes covered in the bookBook Description<\/p>\n<p>Organizations today face a major threat in terms of cybersecurity, from malicious URLs to credential reuse, and having robust security systems can make all the difference. With this book, you&#8217;ll learn how to use Python libraries such as TensorFlow and scikit-learn to implement the latest artificial intelligence (AI) techniques and handle challenges faced by cybersecurity researchers.<\/p>\n<p>You&#8217;ll begin by exploring various machine learning (ML) techniques and tips for setting up a secure lab environment. Next, you&#8217;ll implement key ML algorithms such as clustering, gradient boosting, random forest, and XGBoost. The book will guide you through constructing classifiers and features for malware, which you&#8217;ll train and test on real samples. As you progress, you&#8217;ll build self-learning, reliant systems to handle cybersecurity tasks such as identifying malicious URLs, spam email detection, intrusion detection, network protection, and tracking user and process behavior. Later, you&#8217;ll apply generative adversarial networks (GANs) and autoencoders to advanced security tasks. Finally, you&#8217;ll delve into secure and private AI to protect the privacy rights of consumers using your ML models.<\/p>\n<p>By the end of this book, you&#8217;ll have the skills you need to tackle real-world problems faced in the cybersecurity domain using a recipe-based approach.<br \/>\nWhat you will learn<\/p>\n<p>Learn how to build malware classifiers to detect suspicious activities<br \/>\nApply ML to generate custom malware to pentest your security<br \/>\nUse ML algorithms with complex datasets to implement cybersecurity concepts<br \/>\nCreate neural networks to identify fake videos and images<br \/>\nSecure your organization from one of the most popular threats \u2013 insider threats<br \/>\nDefend against zero-day threats by constructing an anomaly detection system<br \/>\nDetect web vulnerabilities effectively by combining Metasploit and ML<br \/>\nUnderstand how to train a model without exposing the training data<\/p>\n<p>Who this book is for<\/p>\n<p>This book is for cybersecurity professionals and security researchers who are looking to implement the latest machine learning techniques to boost computer security, and gain insights into securing an organization using red and blue team ML. This recipe-based book will also be useful for data scientists and machine learning developers who want to experiment with smart techniques in the cybersecurity domain. Working knowledge of Python programming and familiarity with cybersecurity fundamentals will help you get the most out of this book.<br \/>\nTable of Contents<\/p>\n<p>Machine Learning for Cybersecurity<br \/>\nMachine Learning-Based Malware Detection<br \/>\nAdvanced Malware Detection<br \/>\nMachine Learning for Social Engineering<br \/>\nPenetration Testing Using Machine Learning<br \/>\nAutomatic Intrusion Detection<br \/>\nSecuring and Attacking Data with Machine Learning<br \/>\nSecure and Private AI<br \/>\nAppendix<\/p>\n<\/div>\n<h2>\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u06a9\u062a\u0627\u0628 \u0628\u0647 \u0641\u0627\u0631\u0633\u06cc (\u062a\u0631\u062c\u0645\u0647 \u0645\u0627\u0634\u06cc\u0646\u06cc)<\/h2>\n<p>\u0628\u06cc\u0627\u0645\u0648\u0632\u06cc\u062f \u06a9\u0647 \u0686\u06af\u0648\u0646\u0647 \u0627\u0632 \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc \u0645\u062f\u0631\u0646 \u0628\u0631\u0627\u06cc \u0627\u06cc\u062c\u0627\u062f \u0631\u0627\u0647 \u062d\u0644 \u0647\u0627\u06cc \u0642\u062f\u0631\u062a\u0645\u0646\u062f \u0633\u0627\u06cc\u0628\u0631\u06cc \u0628\u0631\u0627\u06cc \u0628\u062f\u0627\u0641\u0632\u0627\u0631 \u060c \u067e\u0646\u062a \u060c \u0645\u0647\u0646\u062f\u0633\u06cc \u0627\u062c\u062a\u0645\u0627\u0639\u06cc \u060c \u062d\u0631\u06cc\u0645 \u062e\u0635\u0648\u0635\u06cc \u062f\u0627\u062f\u0647 \u0647\u0627 \u0648 \u062a\u0634\u062e\u06cc\u0635 \u0646\u0641\u0648\u0630 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u062f<br \/>\n\u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u06a9\u0644\u06cc\u062f\u06cc<\/p>\n<p>\u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0627\u06a9\u0648\u0633\u06cc\u0633\u062a\u0645 \u067e\u0627\u06cc\u062a\u0648\u0646 \u060c \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc\u06cc \u0628\u0627 \u067e\u06cc\u0686\u06cc\u062f\u06af\u06cc \u0645\u062a\u0641\u0627\u0648\u062a \u0631\u0627 \u0628\u0631\u0627\u06cc \u0645\u062d\u0627\u0641\u0638\u062a \u0627\u0632 \u0633\u06cc\u0633\u062a\u0645 \u062e\u0648\u062f \u0645\u062f\u06cc\u0631\u06cc\u062a \u06a9\u0646\u06cc\u062f<br \/>\nML \u0631\u0627 \u0628\u0631\u0627\u06cc \u067e\u0646\u062a\u0633\u062a\u0627\u0631\u06cc \u060c \u0628\u062f\u0627\u0641\u0632\u0627\u0631 \u060c \u062d\u0631\u06cc\u0645 \u062e\u0635\u0648\u0635\u06cc \u062f\u0627\u062f\u0647 \u0647\u0627 \u060c \u0633\u06cc\u0633\u062a\u0645 \u062a\u0634\u062e\u06cc\u0635 \u0646\u0641\u0648\u0630 (IDS) \u0648 \u0645\u0647\u0646\u062f\u0633\u06cc \u0627\u062c\u062a\u0645\u0627\u0639\u06cc \u0627\u0639\u0645\u0627\u0644 \u06a9\u0646\u06cc\u062f<br \/>\n\u0628\u0627 \u067e\u0631\u062f\u0627\u062e\u062a\u0646 \u0628\u0647 \u0686\u0627\u0644\u0634 \u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 \u0627\u0645\u0646\u06cc\u062a\u06cc \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u062f\u0633\u062a\u0648\u0631 \u0627\u0644\u0639\u0645\u0644 \u0647\u0627\u06cc \u062a\u062d\u062a \u067e\u0648\u0634\u0634 \u06a9\u062a\u0627\u0628 \u060c \u06af\u0631\u062f\u0634 \u06a9\u0627\u0631 \u0631\u0648\u0632\u0627\u0646\u0647 \u062e\u0648\u062f \u0631\u0627 \u062e\u0648\u062f\u06a9\u0627\u0631 \u06a9\u0646\u06cc\u062f<\/p>\n<p>\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u06a9\u062a\u0627\u0628<\/p>\n<p>\u0627\u0645\u0631\u0648\u0632 \u0633\u0627\u0632\u0645\u0627\u0646 \u0647\u0627 \u0627\u0632 \u0646\u0638\u0631 \u0627\u0645\u0646\u06cc\u062a \u0633\u0627\u06cc\u0628\u0631\u06cc \u060c \u0627\u0632 URL \u0647\u0627\u06cc \u0645\u062e\u0631\u0628 \u06af\u0631\u0641\u062a\u0647 \u062a\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u062c\u062f\u062f \u0627\u0632 \u0627\u0639\u062a\u0628\u0627\u0631 \u060c \u0628\u0627 \u062a\u0647\u062f\u06cc\u062f \u0639\u0645\u062f\u0647 \u0631\u0648\u0628\u0631\u0648 \u0647\u0633\u062a\u0646\u062f \u0648 \u062f\u0627\u0634\u062a\u0646 \u0633\u06cc\u0633\u062a\u0645 \u0647\u0627\u06cc \u0627\u0645\u0646\u06cc\u062a\u06cc \u0642\u0648\u06cc \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u0647\u0645\u0647 \u062a\u0641\u0627\u0648\u062a \u0647\u0627 \u0631\u0627 \u0627\u06cc\u062c\u0627\u062f \u06a9\u0646\u062f.\u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0627\u06cc\u0646 \u06a9\u062a\u0627\u0628 \u060c \u06cc\u0627\u062f \u0645\u06cc \u06af\u06cc\u0631\u06cc\u062f \u06a9\u0647 \u0686\u06af\u0648\u0646\u0647 \u0627\u0632 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0647\u0627\u06cc \u067e\u0627\u06cc\u062a\u0648\u0646 \u0645\u0627\u0646\u0646\u062f Tensorflow \u0648 Scikit-Learn \u0628\u0631\u0627\u06cc \u0627\u062c\u0631\u0627\u06cc \u0622\u062e\u0631\u06cc\u0646 \u062a\u06a9\u0646\u06cc\u06a9 \u0647\u0627\u06cc \u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc (AI) \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u062f \u0648 \u0686\u0627\u0644\u0634 \u0647\u0627\u06cc\u06cc \u0631\u0627 \u06a9\u0647 \u0645\u062d\u0642\u0642\u0627\u0646 \u0627\u0645\u0646\u06cc\u062a \u0633\u0627\u06cc\u0628\u0631\u06cc \u0628\u0627 \u0622\u0646 \u0631\u0648\u0628\u0631\u0648 \u0647\u0633\u062a\u0646\u062f \u060c \u0628\u0631\u0637\u0631\u0641 \u06a9\u0646\u06cc\u062f.<\/p>\n<p>\u0634\u0645\u0627 \u0628\u0627 \u0628\u0631\u0631\u0633\u06cc \u062a\u06a9\u0646\u06cc\u06a9 \u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 (ML) \u0648 \u0646\u06a9\u0627\u062a\u06cc \u0628\u0631\u0627\u06cc \u0627\u06cc\u062c\u0627\u062f \u06cc\u06a9 \u0645\u062d\u06cc\u0637 \u0622\u0632\u0645\u0627\u06cc\u0634\u06af\u0627\u0647 \u0627\u0645\u0646 \u0634\u0631\u0648\u0639 \u062e\u0648\u0627\u0647\u06cc\u062f \u06a9\u0631\u062f.\u062f\u0631 \u0645\u0631\u062d\u0644\u0647 \u0628\u0639\u062f \u060c \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u0647\u0627\u06cc \u06a9\u0644\u06cc\u062f\u06cc ML \u0645\u0627\u0646\u0646\u062f \u062e\u0648\u0634\u0647 \u0628\u0646\u062f\u06cc \u060c \u062a\u0642\u0648\u06cc\u062a \u0634\u06cc\u0628 \u060c \u062c\u0646\u06af\u0644 \u062a\u0635\u0627\u062f\u0641\u06cc \u0648 XGBOOST \u0631\u0627 \u067e\u06cc\u0627\u062f\u0647 \u0633\u0627\u0632\u06cc \u062e\u0648\u0627\u0647\u06cc\u062f \u06a9\u0631\u062f.\u0627\u06cc\u0646 \u06a9\u062a\u0627\u0628 \u0634\u0645\u0627 \u0631\u0627 \u0627\u0632 \u0637\u0631\u06cc\u0642 \u0633\u0627\u062e\u062a \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u06a9\u0646\u0646\u062f\u0647 \u0647\u0627 \u0648 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u0628\u062f\u0627\u0641\u0632\u0627\u0631 \u0631\u0627\u0647\u0646\u0645\u0627\u06cc\u06cc \u0645\u06cc \u06a9\u0646\u062f \u060c \u06a9\u0647 \u0634\u0645\u0627 \u062f\u0631 \u0646\u0645\u0648\u0646\u0647 \u0647\u0627\u06cc \u0648\u0627\u0642\u0639\u06cc \u0622\u0645\u0648\u0632\u0634 \u0648 \u0622\u0632\u0645\u0627\u06cc\u0634 \u0645\u06cc \u06a9\u0646\u06cc\u062f.\u0628\u0627 \u067e\u06cc\u0634\u0631\u0641\u062a \u060c \u0634\u0645\u0627 \u0628\u0631\u0627\u06cc \u0627\u0646\u062c\u0627\u0645 \u0648\u0638\u0627\u06cc\u0641 \u0627\u0645\u0646\u06cc\u062a \u0633\u0627\u06cc\u0628\u0631\u06cc \u0645\u0627\u0646\u0646\u062f \u0634\u0646\u0627\u0633\u0627\u06cc\u06cc URL \u0647\u0627\u06cc \u0645\u062e\u0631\u0628 \u060c \u062a\u0634\u062e\u06cc\u0635 \u0627\u06cc\u0645\u06cc\u0644 \u0647\u0631\u0632\u0646\u0627\u0645\u0647 \u060c \u062a\u0634\u062e\u06cc\u0635 \u0646\u0641\u0648\u0630 \u060c \u0645\u062d\u0627\u0641\u0638\u062a \u0627\u0632 \u0634\u0628\u06a9\u0647 \u0648 \u0631\u062f\u06cc\u0627\u0628\u06cc \u0631\u0641\u062a\u0627\u0631 \u06a9\u0627\u0631\u0628\u0631 \u0648 \u0641\u0631\u0622\u06cc\u0646\u062f \u060c \u0633\u06cc\u0633\u062a\u0645 \u0647\u0627\u06cc \u062e\u0648\u062f\u0622\u0645\u0648\u0632 \u0648 \u0645\u062a\u06a9\u06cc \u0631\u0627 \u0627\u06cc\u062c\u0627\u062f \u062e\u0648\u0627\u0647\u06cc\u062f 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\u067e\u0631\u062f\u0627\u0632\u06cc\u062f.<\/p>\n<p>\u062f\u0631 \u067e\u0627\u06cc\u0627\u0646 \u0627\u06cc\u0646 \u06a9\u062a\u0627\u0628 \u060c \u0645\u0647\u0627\u0631\u062a \u0647\u0627\u06cc \u0644\u0627\u0632\u0645 \u0628\u0631\u0627\u06cc \u0645\u0642\u0627\u0628\u0644\u0647 \u0628\u0627 \u0645\u0634\u06a9\u0644\u0627\u062a \u062f\u0646\u06cc\u0627\u06cc \u0648\u0627\u0642\u0639\u06cc \u0631\u0627 \u06a9\u0647 \u062f\u0631 \u062d\u0648\u0632\u0647 \u0627\u0645\u0646\u06cc\u062a \u0633\u0627\u06cc\u0628\u0631\u06cc \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u06cc\u06a9 \u0631\u0648\u06cc\u06a9\u0631\u062f \u0645\u0628\u062a\u0646\u06cc \u0628\u0631 \u062f\u0633\u062a\u0648\u0631 \u0627\u0644\u0639\u0645\u0644 \u0631\u0648\u0628\u0631\u0648 \u0647\u0633\u062a\u06cc\u062f \u060c \u062e\u0648\u0627\u0647\u06cc\u062f \u062f\u0627\u0634\u062a.<br \/>\n\u0622\u0646\u0686\u0647 \u06cc\u0627\u062f \u062e\u0648\u0627\u0647\u06cc\u062f \u06af\u0631\u0641\u062a<\/p>\n<p>\u0628\u06cc\u0627\u0645\u0648\u0632\u06cc\u062f \u06a9\u0647 \u0686\u06af\u0648\u0646\u0647 \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u06a9\u0646\u0646\u062f\u0647 \u0647\u0627\u06cc \u0628\u062f\u0627\u0641\u0632\u0627\u0631 \u0631\u0627 \u0628\u0631\u0627\u06cc \u062a\u0634\u062e\u06cc\u0635 \u0641\u0639\u0627\u0644\u06cc\u062a \u0647\u0627\u06cc \u0645\u0634\u06a9\u0648\u06a9 \u0628\u0633\u0627\u0632\u06cc\u062f<br \/>\nML \u0631\u0627 \u0628\u0631\u0627\u06cc \u062a\u0648\u0644\u06cc\u062f \u0628\u062f\u0627\u0641\u0632\u0627\u0631 \u0633\u0641\u0627\u0631\u0634\u06cc \u0628\u0631\u0627\u06cc \u067e\u0646\u0627\u0644\u062a\u06cc \u0627\u0645\u0646\u06cc\u062a \u062e\u0648\u062f \u0627\u0639\u0645\u0627\u0644 \u06a9\u0646\u06cc\u062f<br \/>\n\u0628\u0631\u0627\u06cc \u0627\u062c\u0631\u0627\u06cc \u0645\u0641\u0627\u0647\u06cc\u0645 \u0627\u0645\u0646\u06cc\u062a \u0633\u0627\u06cc\u0628\u0631\u06cc \u0627\u0632 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u0647\u0627\u06cc ML \u0628\u0627 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u067e\u06cc\u0686\u06cc\u062f\u0647 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u062f<br \/>\n\u0627\u06cc\u062c\u0627\u062f \u0634\u0628\u06a9\u0647 \u0647\u0627\u06cc \u0639\u0635\u0628\u06cc \u0628\u0631\u0627\u06cc \u0634\u0646\u0627\u0633\u0627\u06cc\u06cc \u0641\u06cc\u0644\u0645 \u0647\u0627 \u0648 \u062a\u0635\u0627\u0648\u06cc\u0631 \u062c\u0639\u0644\u06cc<br \/>\n\u0633\u0627\u0632\u0645\u0627\u0646 \u062e\u0648\u062f \u0631\u0627 \u0627\u0632 \u06cc\u06a9\u06cc \u0627\u0632 \u0645\u062d\u0628\u0648\u0628 \u062a\u0631\u06cc\u0646 \u062a\u0647\u062f\u06cc\u062f\u0647\u0627 &#8211; \u062a\u0647\u062f\u06cc\u062f\u0627\u062a \u062e\u0648\u062f\u06cc &#8211; \u0627\u06cc\u0645\u0646 \u06a9\u0646\u06cc\u062f<br \/>\n\u0628\u0627 \u0627\u06cc\u062c\u0627\u062f \u06cc\u06a9 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\u0645\u0627\u0634\u06cc\u0646<br \/>\n\u062a\u0634\u062e\u06cc\u0635 \u067e\u06cc\u0634\u0631\u0641\u062a\u0647 \u0628\u062f\u0627\u0641\u0632\u0627\u0631<br \/>\n\u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0628\u0631\u0627\u06cc \u0645\u0647\u0646\u062f\u0633\u06cc \u0627\u062c\u062a\u0645\u0627\u0639\u06cc<br \/>\n\u0622\u0632\u0645\u0627\u06cc\u0634 \u0646\u0641\u0648\u0630 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646<br \/>\n\u062a\u0634\u062e\u06cc\u0635 \u062e\u0648\u062f\u06a9\u0627\u0631 \u0646\u0641\u0648\u0630<br \/>\n\u0627\u06cc\u0645\u0646 \u0633\u0627\u0632\u06cc \u0648 \u062d\u0645\u0644\u0647 \u0628\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0628\u0627 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646<br \/>\n\u0647\u0648\u0634 \u0645\u0635\u0646\u0648\u0639\u06cc \u0627\u0645\u0646 \u0648 \u062e\u0635\u0648\u0635\u06cc<br \/>\n\u0636\u0645\u06cc\u0645\u0647<br \/>\n<br \/>\r\n<table class=\"table table-bordered\">\r\n\t\r\n\t\t<tr>\r\n\t\t<td>\r\n\t\t\t\r\n\u062a\u0648\u062c\u0647 \u06a9\u0646\u06cc\u062f \u06a9\u0647 \u0627\u06cc\u0646 \u0645\u062d\u0635\u0648\u0644 \u0628\u0647 \u0635\u0648\u0631\u062a \u0641\u0627\u06cc\u0644 \u062f\u0627\u0646\u0644\u0648\u062f\u06cc \u0627\u0633\u062a \u0648 \u0646\u0647 \u06a9\u062a\u0627\u0628 \u06a9\u0627\u063a\u0630\u06cc.\r\n\r\n\t\t<\/td>\r\n\t<\/tr>\r\n\r\n\t\t<tr>\r\n\t\t<td>\r\n\t\t\t\r\n\u0628\u0647 \u0647\u0646\u06af\u0627\u0645 \u062e\u0631\u06cc\u062f \u0628\u0647 \u0632\u0628\u0627\u0646 \u062f\u0631\u062c \u0634\u062f\u0647 \u0628\u0631\u0627\u06cc \u06a9\u062a\u0627\u0628 \u062d\u062a\u0645\u0627 \u062a\u0648\u062c\u0647 \u06a9\u0646\u06cc\u062f. \u0628\u0647 \u0635\u0648\u0631\u062a \u0645\u0639\u0645\u0648\u0644 \u062f\u0631 \u0627\u06a9\u062b\u0631 \u0645\u0648\u0627\u0631\u062f \u0632\u0628\u0627\u0646 \u06a9\u062a\u0627\u0628 \u0641\u0627\u0631\u0633\u06cc \u0646\u06cc\u0633\u062a.\r\n\r\n\t\t<\/td>\r\n\t<\/tr>\t\r\n\r\n\t\t\t<tr>\r\n\t\t<td>\r\n\t\t\t\r\n\u062f\u0631 \u0635\u0648\u0631\u062a \u0647\u0631\u06af\u0648\u0646\u0647 \u0645\u0634\u06a9\u0644 \u062f\u0631 \u062f\u0631\u06cc\u0627\u0641\u062a \u06a9\u062a\u0627\u0628 \u0628\u0647 \u0634\u0645\u0627\u0631\u0647 09395106248 \u067e\u06cc\u0627\u0645\u06a9 \u062f\u0647\u06cc\u062f. \r\n\t\t<\/td>\r\n\t<\/tr>\t\r\n\t\r\n\t\t\t<tr>\r\n\t\t<td>\r\n\t\t\t\r\n\u062f\u0631\u062c \u0634\u0645\u0627\u0631\u0647 \u0645\u0648\u0628\u0627\u06cc\u0644 \u0628\u0631\u0627\u06cc \u0633\u0641\u0627\u0631\u0634 \u0636\u0631\u0648\u0631\u06cc \u0646\u06cc\u0633\u062a \u0648\u0644\u06cc \u062a\u0631\u062c\u06cc\u062d \u0622\u0646 \u0627\u0633\u062a \u062f\u0631\u062c \u06af\u0631\u062f\u062f \u062a\u0627 \u062f\u0631 \u0635\u0648\u0631\u062a \u0628\u0631\u0648\u0632 \u0645\u0634\u06a9\u0644 \u0627\u0648\u0644\u06cc\u0646 \u0631\u0627\u0647 \u0627\u0631\u062a\u0628\u0627\u0637\u06cc \u0645\u0627 \u0628\u0627 \u0634\u0645\u0627 \u0628\u0627\u0634\u062f.\r\n\t\t<\/td>\r\n\t<\/tr>\r\n\t\r\n\t<tr>\r\n\t\t<td>\r\n\t\t\t\r\n\t\t\t\u0686\u0646\u0627\u0646\u0686\u0647 \u062f\u0631 \u062f\u0631\u06cc\u0627\u0641\u062a \u0645\u062d\u0635\u0648\u0644 \u0628\u0647 \u0647\u0631 \u062f\u0644\u06cc\u0644\u06cc \u0628\u0627 \u0645\u0634\u06a9\u0644 \u0631\u0648\u0628\u0631\u0648 \u0634\u062f\u06cc\u062f \u0648 \u0645\u0637\u0645\u0626\u0646 \u0627\u0632 \u067e\u0631\u062f\u0627\u062e\u062a \u0645\u0648\u0641\u0642 \u0648\u062c\u0647 \u0647\u0633\u062a\u06cc\u062f \u0628\u0647 \u0634\u0645\u0627\u0631\u0647 \u062a\u0645\u0627\u0633 \u0632\u06cc\u0631 \u0646\u0627\u0645\u060c \u0646\u0627\u0645 \u062e\u0627\u0646\u0648\u0627\u062f\u06af\u06cc \u0648 \u0646\u0627\u0645 \u0645\u062d\u0635\u0648\u0644 \u0631\u0627 \u067e\u06cc\u0627\u0645\u06a9 \u0628\u0632\u0646\u06cc\u062f \u062a\u0627 \u0644\u06cc\u0646\u06a9 \u0645\u062d\u0635\u0648\u0644 \u0633\u0631\u06cc\u0639\u0627 \u0628\u0631\u0627\u06cc \u0634\u0645\u0627 \u0627\u0631\u0633\u0627\u0644 \u06af\u0631\u062f\u062f.\r\n\t\t\t<br \/><br \/>\r\n\t\t\t\u0634\u0645\u0627\u0631\u0647 \u062a\u0645\u0627\u0633: 09395106248 \r\n\r\n\t\t<\/td>\r\n\t<\/tr>\r\n\t\r\n<\/table>\r\n<br \/>\r\n\r\n<\/p>\n","protected":false},"excerpt":{"rendered":"<p>&nbsp; \u0639\u0646\u0648\u0627\u0646 \u06a9\u062a\u0627\u0628 \u0628\u0647 \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc: Machine Learning for Cybersecurity Cookbook: Over 80 recipes on how to implement machine learning algorithms [&hellip;]<\/p>\n","protected":false},"featured_media":27189,"comment_status":"open","ping_status":"closed","template":"","meta":{"pmpro_default_level":"","site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center 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