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CyberSecurity & AI Experts

CyberSecurity & AI Experts

رفتن به کانال در Telegram

🔰 Ethical Hacking and Cyber Security Official Telegram Channel 🔰 Free content to learn Hacking & AI For promotions: @coderfun

نمایش بیشتر

📈 تحلیل کانال تلگرام CyberSecurity & AI Experts

کانال CyberSecurity & AI Experts (@ethicalhackingtoday) در بخش زبانی انگلیسی بازیگری فعال است. در حال حاضر جامعه شامل 43 479 مشترک است و جایگاه 2 997 را در دسته فناوری و برنامه‌ها و رتبه 8 570 را در منطقه الهند دارد.

📊 شاخص‌های مخاطب و پویایی

از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 43 479 مشترک جذب کرده است.

بر اساس آخرین داده‌ها در تاریخ 15 سپتامبر, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر 248 و در ۲۴ ساعت گذشته برابر 5 بوده و همچنان دسترسی گسترده‌ای حفظ شده است.

  • وضعیت تأیید: تأیید نشده
  • نرخ تعامل (ER): میانگین تعامل مخاطب 3.87% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً 1.29% واکنش نسبت به کل مشترکان کسب می‌کند.
  • دسترسی پست‌ها: هر پست به طور میانگین 1 682 بازدید دریافت می‌کند. در اولین روز معمولاً 560 بازدید جمع‌آوری می‌شود.
  • واکنش‌ها و تعامل: مخاطبان به‌طور فعال حمایت می‌کنند؛ میانگین واکنش به هر پست 6 است.
  • علایق موضوعی: محتوا بر موضوعات کلیدی مانند git, |--, cybersecurity, linux, attack تمرکز دارد.

📝 توضیح و سیاست محتوایی

نویسنده این فضا را محل بیان دیدگاه‌های شخصی توصیف می‌کند:
🔰 Ethical Hacking and Cyber Security Official Telegram Channel 🔰 Free content to learn Hacking & AI For promotions: @coderfun

به لطف به‌روزرسانی‌های پرتکرار (آخرین داده در تاریخ 16 سپتامبر, 2026)، کانال همواره به‌روز و دارای دسترسی بالاست. تحلیل‌ها نشان می‌دهد مخاطبان به‌طور فعال با محتوا تعامل دارند و آن را به نقطه اثرگذاری مهم در دسته فناوری و برنامه‌ها تبدیل کرده‌اند.

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پست‌های کانال
FREE MIT books on AI and Machine Learning: 📚🤖 1. Foundations of Machine Learning cs.nyu.edu/~mohri/mlbook/ 2. Understanding
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FREE MIT books on AI and Machine Learning: 📚🤖 1. Foundations of Machine Learning cs.nyu.edu/~mohri/mlbook/ 2. Understanding Deep Learning udlbook.github.io/udlbook/ 3. Introduction to Machine Learning Systems ❯ Vol 1: mlsysbook.ai/vol1/assets/do ❯ Vol 2: mlsysbook.ai/vol2/assets/do 4. Algorithms for ML algorithmsbook.com 5. Deep Learning deeplearningbook.org 6. Reinforcement Learning andrew.cmu.edu/course/10-703/ 7. Distributional Reinforcement Learning direct.mit.edu/books/oa-monog 8. Multi Agent Reinforcement Learning marl-book.com 9. Agents in the Long Game of AI direct.mit.edu/books/oa-monog 10. Fairness and Machine Learning fairmlbook.org 11. Probabilistic Machine Learning ❯ Part 1 : probml.github.io/pml-book/book1 ❯ Part 2 : probml.github.io/pml-book/book2

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🚀 𝗠𝗮𝘀𝘁𝗲𝗿 𝗜𝗻-𝗗𝗲𝗺𝗮𝗻𝗱 𝗧𝗲𝗰𝗵 𝗦𝗸𝗶𝗹𝗹𝘀 𝗳𝗼𝗿 𝗙𝗥𝗘𝗘 𝗶𝗻 𝟮𝟬𝟮𝟲 🔥 Want to upgrade your tech skills wit
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🛡️🔥 Cybersecurity Terms Every Beginner Should Know — Part 4 1. Authentication Token 🎟️ — A piece of data used to prove that a user or system has already been authenticated. 2. Session 🔄 — A period of interaction between a user and an application after authentication. 3. Session Hijacking 🕵️ — An attack where an attacker obtains a valid session and attempts to use it to access an account. 4. Access Token 🔑 — A credential that allows an application or user to access specific resources. 5. API 🌐 — An interface that allows different software applications to communicate with each other. 6. API Key 🗝️ — A credential commonly used to identify or authenticate an application making API requests. 7. Security Header 🛡️ — An HTTP response header that can instruct browsers to apply additional security protections. 8. CORS 🌍 — A browser security mechanism that controls which origins can make certain cross-origin requests. 9. CSRF 🔄 — An attack that tricks an authenticated user's browser into sending an unwanted request to a website. 10. XSS 💻 — A vulnerability where untrusted input can cause unintended script execution in a user's browser. 11. SQL Injection 💉 — A vulnerability where improperly handled input can interfere with database queries. 12. Input Validation ✅ — Checking user-supplied data to ensure it meets expected rules before processing it. 13. Output Encoding 🔤 — Converting data into a safe representation before displaying it in a particular context. 14. Secure Cookie 🍪 — A cookie configured with security attributes that help reduce risks such as interception or unauthorized browser access. 15. TLS 🔒 — A cryptographic protocol that protects data exchanged over networks. 16. Digital Certificate 📜 — A digital credential used to associate a public key with an identity. 17. Public Key 🔐 — A cryptographic key that can be shared publicly and is used in operations such as encryption or digital signatures. 18. Private Key 🔑 — A secret cryptographic key that must be protected by its owner. 19. Digital Signature ✍️ — A cryptographic mechanism used to verify authenticity and integrity of digital data. 20. PKI 🏛️ — Public Key Infrastructure: the systems, policies, and processes used to manage digital certificates and public-key cryptography. 💡 Double Tap ❤️ For More
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🚀 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲 𝗢𝗻 𝗔𝘇𝘂𝗿𝗲 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 ☁️ ✨ Build practical skil
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𝗣𝗮𝘆 𝗔𝗳𝘁𝗲𝗿 𝗣𝗹𝗮𝗰𝗲𝗺𝗲𝗻𝘁 — 𝗚𝗲𝘁 𝗣𝗹𝗮𝗰𝗲𝗱 𝗜𝗻 𝗧𝗼𝗽 𝗧𝗲𝗰𝗵 𝗖𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀😍 Learn JAVA/MERN Full Sta
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🛡️🔥 Cybersecurity Terms Every Beginner Should Know — Part 3 1. Attack Vector 🎯 — The method or path an attacker uses to gain access to a target. 2. Threat ⚠️ — Anything that has the potential to cause harm to a system, network, or data. 3. Risk 📊 — The potential for a threat to cause harm by exploiting a vulnerability. 4. Security Control 🛡️ — A measure used to prevent, detect, or reduce security risks. 5. Access Control 🔐 — Rules and mechanisms that determine who can access resources. 6. Privilege Escalation ⬆️ — Gaining higher permissions than originally authorized. 7. Lateral Movement ↔️ — An attacker's movement between systems after gaining an initial foothold. 8. Data Breach 🚨 — An incident in which sensitive or protected information is accessed or disclosed without authorization. 9. Data Exfiltration 📤 — Unauthorized removal or transfer of data from a system or network. 10. Incident 🚨 — An event that threatens or violates the security of systems, data, or services. 11. Incident Response 🧯 — The process of detecting, containing, investigating, and recovering from security incidents. 12. Forensics 🔎 — The collection and analysis of digital evidence to understand what happened. 13. Sandbox 🧪 — An isolated environment used to safely test or analyze software and behavior. 14. IOC (Indicator of Compromise) 🔍 — Evidence that may indicate a system has been compromised. 15. TTPs 🧠 — Tactics, Techniques, and Procedures describing how threat actors operate. 16. CVE 🆔 — A standardized identifier assigned to a publicly known cybersecurity vulnerability. 17. CVSS 📈 — A scoring system used to communicate the severity of security vulnerabilities. 18. Security Baseline 📋 — A defined set of minimum security configurations and requirements. 19. Hardening 🔒 — Strengthening a system by reducing unnecessary features, services, permissions, and weaknesses. 20. Defense in Depth 🧱 — Using multiple layers of security so one failed control doesn't expose everything. 💡 Double Tap ❤️ For More ----- 1.39 ₽ · /balance_help
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🔥 𝗠𝗮𝘀𝘁𝗲𝗿 𝗦𝗤𝗟 𝗳𝗼𝗿 𝗙𝗥𝗘𝗘 — 𝗙𝗿𝗼𝗺 𝗕𝗲𝗴𝗶𝗻𝗻𝗲𝗿 𝘁𝗼 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱! 💻📊 These free learning resources
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🚀 𝗗𝗿𝗲𝗮𝗺𝗶𝗻𝗴 𝗼𝗳 𝗪𝗼𝗿𝗸𝗶𝗻𝗴 𝗮𝘁 𝗧𝗼𝗽 𝗧𝗲𝗰𝗵 𝗖𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀? 💻🔥 Here’s a collection of company-specific
🚀 𝗗𝗿𝗲𝗮𝗺𝗶𝗻𝗴 𝗼𝗳 𝗪𝗼𝗿𝗸𝗶𝗻𝗴 𝗮𝘁 𝗧𝗼𝗽 𝗧𝗲𝗰𝗵 𝗖𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀? 💻🔥 Here’s a collection of company-specific resources to help you understand their interview and hiring processes. 🎯 Interview Preparation Guides For: 🟠 Amazon – Interviewing Guide 🔵 Google – Interview Tips 🪟 Microsoft – Hiring & Interview Tips 🟢 NVIDIA – Hiring Process 🔷 Meta – Software Engineering Interview Prep 𝐋𝐢𝐧𝐤 👇:- https://pdlink.in/4i6HkgN 📢 Save & share this with your friends — start learning for FREE!
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🎓 𝗧𝗼𝗽 𝗖𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀 𝗢𝗳𝗳𝗲𝗿𝗶𝗻𝗴 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 🚀 Learn in-demand skills •
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🚀 𝗟𝗲𝘃𝗲𝗹 𝗨𝗽 𝗬𝗼𝘂𝗿 𝗖𝗮𝗿𝗲𝗲𝗿 𝘄𝗶𝘁𝗵 𝗙𝗥𝗘𝗘 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴! 💻 Microsoft-focused learning
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