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Found 7 results

  1. Knowing your customers' needs is key to customer satisfaction. Your high-quality products and services will depend on the information you gather about them. Data generation and analysis are essential. In a large business, the benefits of big data analytics are invaluable to making well-informed decisions. Is it possible to use big data analytics to prevent cyber threats? You will learn about What Is Big Data Analytics and How to Prevent Cyber Security Attacks in this article. What Is Big Data Analytics? Big data consists of data in high volumes, variety, and velocity. You deal with customers who produce tons of unstructured and raw data. Today, businesses generate more data than ever using advanced technologies involving Artificial Intelligence (AI) and the Internet of Things (IoT). Big data analytics enable companies with large amounts of data to analyze it more easily. A big data analytics project entails analyzing data sets to understand and predict behaviors. Companies use analytic techniques and software to interpret large quantities of consumer data that help them to understand their customers, meet their needs, and position themselves strategically. 5 ways that big data analytics can help prevent cyber threats Increasing data generation makes cyber-threats more likely. It is in the interest of cybercriminals to compromise the large amounts of information that big businesses produce. The use of data analytics is creating good cyber defenses, even though we still have a long way to go. We're going to explore some ways big data analytics reduces cybersecurity risks. 1. 1. Predictive Modeling When you observe cyber threat patterns, you can create predictive models that send you alerts whenever an attack occurs at an entry point. Cyber threat patterns emerge by using artificial intelligence and machine learning services. With a real-time defense system, you can limit a cyber threat that extends beyond a network's touchpoint. 1. 2. Automating and monitoring at scale Employee ignorance of cybersecurity practices results in a high rate of cyberattacks in many organizations. Your employees might help attackers gain access to your network if they don't know how to avoid an attack. Furthermore, big data analytics can help your organization foster a cybersecurity culture by continuously tracking employee activity. By limiting the effect of someone's action, your network remains safe. 3. Live detection of intrusions An attacker can bring down a network in one shot. Protect your network from such an attack. You can detect an attack before it reaches the network's entry point by installing intrusion detection systems. Big data analytics enables you to automate this type of process at scale. An intrusion detection system that analyzes data in real-time can reveal details of an attack so you can block it. Then, you can use this information to nullify an attack on the ground instantly. 1. 4.Managing risks intelligently Knowing about potential threats will give you a better defense. Analyzing big data can help you gain insight into the activities within and around your network. A detailed analysis of cyber-security data provides a clear understanding of how attacks originate, allowing you to pinpoint the root cause. 2. 5.Visualizing threats Analytics of such vast data allows you to make more accurate predictions about the activities within your network, enabling you to be proactive about cybersecurity. The use of advanced data analytics can provide insight into cyberattacks that have occurred at an organization. Summary Don't allow cybercriminals to penetrate your network. The most common reason for cyberattacks is human error or network blind spots. A loophole exists or a cybercriminal has taken advantage of you. By using big data analytics, you gain vital insight into your system's operation. And, if anything goes wrong, you'll be able to get a real-time response to rectify the problem. The importance of big data analytics in the digital age is increasing every day.
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  3. In modern times as data becomes more secure with encryption, there are certain attacks that you may not be aware of. One specific type of attack is called a side-channel attack. What is a side-channel attack? Side-channel attacks rely on measuring tendencies and frequencies of your computer to establish patterns that can extract private information from your machine. Side-channel attacks or SCA, monitor your power use and electromagnetic emissions during cryptographic operations. Due to the low cost and simplicity of these attacks, multiple side-channel techniques can be used. Here is a list of the different techniques: Cache Attack — Monitor your cache accesses in a shared physical system. Commonly found in virtualized environment or a type of cloud service. Timing Attack — Monitor the time of computations and establishing patterns. Power-Monitoring Attack — Monitor the power consumption by the hardware during computation. Electromagnetic Attack — Based on leaked electromagnetic radiation, which can directly provide plain texts and other information. Such measurements can be used to infer cryptographic keys using techniques equivalent to those in power analysis or can be used in non-cryptographic attacks. Acoustic Cryptanalysis — Exploits sound produced during a computation (rather like power analysis). Differential Fault Analysis — Secrets are discovered by introducing faults in a computation. Data Remanence — Sensitive data are read after supposedly having been deleted. Software-Initiated Fault Attacks — Currently a rare class of side-channels, row hammer is an example in which off-limits memory can be changed by accessing adjacent memory too often (causing state retention loss). Optical - Secrets and sensitive data can be read by visual recording using a high resolution camera, or other devices that have such capabilities (see examples below). Countermeasures Different ways to help prevent these attacks have been introduced but not widely implemented. A few ways to try to prevent these attacks are: Eliminating the release of private information or making sure this information is unrelated to your private data. Power line conditioning and filtering to deter power-monitoring attacks as well as emitting a channel with noise. Blinding technique that serves to alter the algorithm’s input into some unpredictable state rendering some or all of the leakage of useful information. Once your keys are established, hackers could gain access to your data and could increase your chances of corruption or removal. Side-channel and other types of cyberattacks are one of the key reasons you should always have redundant backups running using a service like Jungle Disk and another form of backup such as an external hard drive or network attached storage device.
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  5. Side Channel Attacks: What They Are and How to Prevent Them In modern times as data becomes more secure with encryption, there are certain attacks that you may not be aware of. One specific type of attack is called a side-channel attack. What is a side-channel attack? Side-channel attacks rely on measuring tendencies and frequencies of your computer to establish patterns that can extract private information from your machine. Side-channel attacks or SCA, monitor your power use and electromagnetic emissions during cryptographic operations. Due to the low cost and simplicity of these attacks, multiple side-channel techniques can be used. Here is a list of the different techniques: Cache Attack — Monitor your cache accesses in a shared physical system. Commonly found in virtualized environment or a type of cloud service. Timing Attack — Monitor the time of computations and establishing patterns. Power-Monitoring Attack — Monitor the power consumption by the hardware during computation. Electromagnetic Attack — Based on leaked electromagnetic radiation, which can directly provide plain texts and other information. Such measurements can be used to infer cryptographic keys using techniques equivalent to those in power analysis or can be used in non-cryptographic attacks. Acoustic Cryptanalysis — Exploits sound produced during a computation (rather like power analysis). Differential Fault Analysis — Secrets are discovered by introducing faults in a computation. Data Remanence — Sensitive data are read after supposedly having been deleted. Software-Initiated Fault Attacks — Currently a rare class of side-channels, row hammer is an example in which off-limits memory can be changed by accessing adjacent memory too often (causing state retention loss). Optical - Secrets and sensitive data can be read by visual recording using a high resolution camera, or other devices that have such capabilities (see examples below). Countermeasures Different ways to help prevent these attacks have been introduced but not widely implemented. A few ways to try to prevent these attacks are: Eliminating the release of private information or making sure this information is unrelated to your private data. Power line conditioning and filtering to deter power-monitoring attacks as well as emitting a channel with noise. Blinding technique that serves to alter the algorithm’s input into some unpredictable state rendering some or all of the leakage of useful information. Once your keys are established, hackers could gain access to your data and could increase your chances of corruption or removal. Side-channel and other types of cyberattacks are one of the key reasons you should always have redundant backups running using a service like Jungle Disk and another form of backup such as an external hard drive or network attached storage device.
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