Differentiate between Information protection and information assurance.

💥Information protection protects data from unauthorized access by utilizing encryption, security software, and other methods.

🔥Information Assurance ensures the data's integrity by maintaining its availability, authentication, and secrecy, among other things.


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🖥 سری ویدیو های امنیت بلاکچین و قراردادهای هوشمند

🖥BSCS:Blockchain & Smart Contract Security - Distributed ledger technology (DLT)

👨‍💻مدرس : saeid ghasemshirazi
🧬لینک ویدیو:
⛓https://youtu.be/FSc860DW9CU

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Which is faster public or private blockchain?

Private blockchains can process transactions in real-time, unlike public blockchains where consensus-building can take time. This is because a private blockchain has a more centralized network than a public blockchain, where the decision-making is much faster.

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🔥What do you mean by Network Sniffing?

Sniffing is a technique for evaluating data packets delivered across a network. This can be accomplished through the use of specialized software or hardware. Sniffing can be used for a variety of purposes, including:

Capture confidential information, such as a password.
Listen in on chat messaging
Over a network, keep an eye on a data package.

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What do you mean by System Hardening?

In general, system hardening refers to a set of tools and procedures for managing vulnerabilities in an organization's systems, applications, firmware, and other components.
The goal of system hardening is to lower security risks by lowering potential attacks and compressing the system's attack surface.
The many types of system hardening are as follows:

Hardening of databases
Hardening of the operating system
Hardening of the application
Hardening the server
Hardening the network


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What is the difference between Hyperledger and blockchain?
🔸Blockchain is a technology based on immutable records called blocks. It uses cryptography to secure these blocks in a decentralized manner.

🔸Hyperledger is an open-source platform that allows people to develop Blockchain applications privately.

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Persian :
برای اولین بار فایل کامل ایمیل های لیک شده پتروشیمی خلیج فارس برای روزنامه نگاران و محققان و مردم ایران

English :

For the first time, the complete file of leaked Persian Gulf Petrochemical emails for journalists, researchers and the people of Iran

password:OpIran

https://mega.nz/file/EBIi0a4Y#PfBS1tdaAfmwEYFyzL4sN317NPtNglTNh2dwqMW0pX4


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🖥 سری ویدیو های امنیت بلاکچین و قراردادهای هوشمند

🖥BSCS:Blockchain & Smart Contract Security - Smart Contracts


👨‍💻مدرس : saeid ghasemshirazi
🧬لینک ویدیو:
⛓https://youtu.be/D5I1NcTWQtk

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🏹The three stages of building a machine learning model are:

🏹Model Building
Choose a suitable algorithm for the model and train it according to the requirement
🏹Model Testing
Check the accuracy of the model through the test data
🏹Applying the Model
Make the required changes after testing and use the final model for real-time projects

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🛎What do you mean by Domain Name System (DNS) Attack?

DNS hijacking is a sort of cyberattack in which cyber thieves utilize weaknesses in the Domain Name System to redirect users to malicious websites and steal data from targeted machines. Because the DNS system is such an important part of the internet infrastructure, it poses a serious cybersecurity risk.

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🔥Clustering?

Clustering problems involve data to be divided into subsets. These subsets, also called clusters, contain data that are similar to each other. Different clusters reveal different details about the objects, unlike classification or regression.

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🔺What is Cross-Validation?

🔸Cross-Validation in Machine Learning is a statistical resampling technique that uses different parts of the dataset to train and test a machine learning algorithm on different iterations. The aim of cross-validation is to test the model’s ability to predict a new set of data that was not used to train the model. Cross-validation avoids the overfitting of data.

🔺K-Fold Cross Validation is the most popular resampling technique that divides the whole dataset into K sets of equal sizes.

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🪡Differentiate between spear phishing and phishing?

Spear phishing is a type of phishing assault that targets a small number of high-value targets, usually just one. Phishing usually entails sending a bulk email or message to a big group of people. It implies that spear-phishing will be much more personalized and perhaps more well-researched (for the individual), whereas phishing will be more like a real fishing trip where whoever eats the hook is caught.

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✳️What do you mean by Active reconnaissance?

Active reconnaissance is a type of computer assault in which an intruder interacts with the target system in order to gather information about weaknesses.
Port scanning is commonly used by attackers to detect vulnerable ports, after which they exploit the vulnerabilities of services linked with open ports.
This could be done using automatic scanning or manual testing with tools like ping, traceroute, and netcat, among others. This sort of recon necessitates interaction between the attacker and the victim. This recon is faster and more precise, but it generates far more noise. Because the attacker must engage with the target in order to obtain information, the recon is more likely to be detected by a firewall or other network security device.

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What do you mean by Authenticode?

Authenticode is a technology that identifies the publisher of Authenticode sign software. It allows users to ensure that the software is genuine and not contain any malicious program.

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🧅What is the Difference Between Supervised and Unsupervised Machine Learning?

🥨Supervised learning - This model learns from the labeled data and makes a future prediction as output
🍗Unsupervised learning - This model uses unlabeled input data and allows the algorithm to act on that information without guidance.


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⛔️What are Polymorphic viruses?

🔰Polymorphic viruses are sophisticated file infectors that may build changed versions of themselves in order to avoid detection while maintaining the same fundamental behaviors after each infection. Polymorphic viruses encrypt their programming and employ various encryption keys each time to alter their physical file makeup throughout each infection.

🔰Mutation engines are used by polymorphic viruses to change their decryption routines every time they infect a machine. Because typical security solutions do not use a static, unchanging code, traditional security solutions may miss them. They are considerably more difficult to detect because they use complicated mutation engines that generate billions of decryption routines.

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▫️Inductive Learning

◾️It observes instances based on defined principles to draw a conclusion

🔹Example: Explaining to a child to keep away from the fire by showing a video where fire causes damage

Deductive Learning

🔹It concludes experiences

🔺Example: Allow the child to play with fire. If he or she gets burned, they will learn that it is dangerous and will refrain from making the same mistake again


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✳️What is Microsoft Baseline Security Analyzer?

Microsoft Baseline Security Analyzer or MBSA is a graphical and command-line interface that provides a method to find missing security updates and misconfigurations.

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MC-GAN: A Reimplementation of GameGAN With a Gaming Perspective

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#Academic #Paper #GameGan
🛡MC-GAN: A Reimplementation of GameGAN With a Gaming Perspective


🔰Link
Publisher: IEEE
ISBN:978-1-6654-0426-6
Abstract:

Creating games is a costly process involving tons of vigorous efforts, time, and resources. Different game engines were introduced to facilitate the game-making process, such as Unreal Engine, Unity, and Godot. However, despite the advent of game engines, the vacuum of automatically creating new games by computers was still felt. With artificial intelligence (AI) development and its growing presence in the industry, game developers made a new game development branch using AI. One of the essential steps in this context was the introduction of GameGAN, which inspired us for this article. Here we propose Multi-Class GamgeGan(MC-GAN), a starting point for the next generation of game engines based on GameGAN. In addition, MC-GAN is capable of classifying each desired game element and even changing its class to change the element’s nature (e.g., MC-GAN can change static elements to dynamic ones). Moreover, MC-GAN uses only one complex model trained once per game. Once it is trained for that specific game, there will be no need for training to produce a new level of that game, a considerable step in the developing industry. Considering that MC-GAN is only the beginning of this big journey; therefore, it is now the best choice for developing web games since they are compact and straightforward. This article first briefly introduces GamGAN and its features; afterward, we get through MC-GAN features and compare them to other similar works.

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