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Top 10 Cybersecurity Lingoes To Keep A Tab On In 2022

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Top 10 Cybersecurity Lingoes To Keep A Tab On In 2022

Here we lay out our top 10 cybersecurity lingoes that might come in handy in your next conversation

Cybersecurity is the practice of protecting systems, networks, and programs from cyberattacks. The practice is used by companies to protect against phishing schemes, ransomware attacks, identity theft, data breaches, and financial losses. With an increasing number of users, devices, and programs in the modern enterprise, combined with the increasing deluge of data much of which is sensitive or confidential the importance of cybersecurity continues to grow. Within the context of cybersecurity, certain lingoes are starting to make their way into mainstream conversation and news, hinting at the increased importance of cybersecurity in our daily work and life. So, here we lay out our top 10 cybersecurity lingoes that might come in handy in your next conversation.

SECaaS: It stands for Security as a service, and is an outsourced service wherein an outside company handles and manages your security. It involves applications such as anti-virus software delivered over the Internet but the term can also refer to cybersecurity management provided in-house by an external organization.

WAF: It stands for web application firewall is a firewall that monitors, filters, and blocks data packets as they travel to and from a website or web application. The WAF allows all incoming requests unless they match predefined threat signatures, or otherwise violate a security rule.

Phishing: It is pronounced: fishing, an attack that attempts to steal your money, or your identity, by getting you to reveal personal information such as credit card numbers, bank information, or passwords on websites that pretend to be legitimate.

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VPN: It stands for virtual private network, and is a technology that encrypts your internet traffic on unsecured networks to protect your online identity, hide your IP address, and shield your online data from third parties. It provides a private tunnel for your data and communications while you use public networks.

Dark Web: It is the hidden collective of internet sites only accessible by a specialized web browser. It is used for keeping internet activity anonymous and private, which can be helpful in both legal and illegal applications.

FIDO: It is a set of security specifications supporting multi-factor authentication and public-key cryptography. FIDO-compliant authentication means that users don’t have to use the traditional username and password combo, but instead use biometric authentication which can include fingerprints to irises.

SSL: It stands for Secure Sockets Layer and, it’s the standard technology for keeping an internet connection secure and safeguarding any sensitive data that is being sent between two systems, preventing criminals from reading and modifying any information transferred, including potential personal details.

2FA: It stands for two-factor authentication, which is a type of authentication method where the proof of a user’s identity is gained by two independent sources. These sources can include something like a username and password and a smartphone app to approve authentication requests.

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Keylogger: It sometimes called a keystroke logger or keyboard capture, is a type of surveillance technology used to monitor and record each keystroke on the operating system you are using, and check the paths of each keystroke goes through.

Backdoor: It accesses a computer system or encrypted data that bypasses the system’s customary security mechanisms. A developer may create a backdoor so that an application or operating system can be accessed for troubleshooting or other purposes.

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Cybersecurity

Ransomware-As-A-Service: Learn To Enhance Cybersecurity Approaches

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Ransomware-As-A-Service: Learn To Enhance Cybersecurity Approaches

Ransomware-as-a-Service is a new form of malicious and subscription-based business model involving the selling or renting of ransomware to buyers. The operator is known for providing the ransomware payload as well as infrastructure to boost the time to value for the ransomware-as-a-Service affiliate.

Ransomware-as-a-Service follows a similar cyberattack pattern in weak links of computer systems. The affiliate tries to gain access to onboarding documentation to track the progress of cyberattacks. Cybercriminals use Initial Access Broker (IAB) services for network access. It makes it easier for them to perform data theft, ransomware payload deployment, and many more.

One needs to be careful of ransomware-as-a-Service because cybercriminals can create pressure on victims to pay by threatening data leaks on the dark web. Victims will have significant financial as well as reputational damage such as regulatory fines, lost output, lost sales, and so on.

Companies should follow certain steps to prevent the attack of Ransomware-as-a-Service and enhance cybersecurity approaches:

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1. Improving user awareness training programs

2. Enhanced email security with cutting-edge technologies like artificial intelligence

3. Multi-factor authentication

4. Strengthening access controls

5. Leveraging Endpoint Detection and Response as well as Network Detection and Response.

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Thus, all companies in the global data-centric market should be careful of the Ransomware-as-a-Service affiliation to protect confidential and sensitive data to get leaked on the dark web.

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Cybersecurity

5 Use Cases Of Data Matching

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5 Use Cases Of Data Matching

Data matching can be used to eliminate duplicate content or for various types of data mining

Data matching refers to the process of comparing two sets of acquired data. This can be accomplished in a variety of ways, but the process is frequently based on algorithms or coded loops in which processors perform sequenced analyses of each specific piece of a given dataset, pairing it against each specific piece of another data set, or contrasting complex variables such as strings for specific similarities. Data matching can be used to eliminate duplicate content or for various types of data mining. Many data matching efforts are made with the goal of establishing a critical link between two data sets for advertising, cybersecurity, or other applied reasons. Here are 5 common use cases of Data Matching:

Financial Services

Fintech, banking, and financial service organizations utilize data matching to manage initiatives such as finding money laundering offenders and completing client credit scores. Banks utilize data matching techniques to gain a comprehensive view of their customers across several economic operations.

Public Sector

Government and public sector organizations rely on record centralization to detect scams, adhere to regulations, and conduct socio-political analyses by evaluating personal identification data such as SSNs and registration numbers. Data matching can help detect potential frauds, activities, and individuals involved. Furthermore, for national surveys, the government obtains a wide range of demographic data, which is often obtained by different agencies under different criteria and stored in separate systems. By merging these records, the authorities may build statistics studies and obtain a deeper understanding of diverse sections of the country.

Education Industry

In the education field, data matching is used to identify redundancy in learning and teaching datasets along with all geographies, and also to assess student performance, distinguish different teaching strategies, assess grade fluctuations, and differentiate between efficient and inefficient teaching techniques.

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Healthcare Sector

At health centers, patients’ data is compared to determine appropriate diagnoses and precise prescriptions. They use business applications to deploy data matching and cleaning processes to ensure the integrity of their patient information. Patients may be given incompatible medications or several therapies for the same condition if an automatic deduplication technique is not used. To examine the impact of numerous elements such as medications, cures, and ailments, medical records are matched with multiple other datasets.

Marketing and Sales

Data matching technologies enable organizations to discover and categorize the target population based on a variety of sociodemographic variables by integrating data refinement and verification skills. Personalization allows a company to increase the impact of its marketing and advertising activities by creating highly relevant and appropriate ads or promotions for potential customers.

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Hertzbleed Hacks Target Computer Chips To Steal Sensitive Data

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Hertzbleed Hacks Target Computer Chips To Steal Sensitive Data

Companies should be aware of the new form of cyberattack, Hertzbleed to protect confidential data

The global tech market has recently got terrorized by the new form of cyberattack known as Hertzbleed. It is known as the Hertzbleed computer chip hack that breaches the data privacy concern from the group of cybercriminals. It can read snippets of data from computer chips that can leave cryptography algorithms open to attack by cybercriminals. Hertzbleed has started targeting computer chips to steal sensitive data and gather relevant information from computer systems. Let’s hack into the detailed information about this new cyberattack, Hertzbleed, that every company should be careful of.

Hertzbleed cyberattack: The detailed information

Hertzbleed cyberattack is a new advanced form that cybercriminals have started to steal sensitive data by breaching the data privacy concern. It reaps the benefits of the power-saving feature to successfully steal the data efficiently and effectively. The cybercriminals group of Hertzbleed can observe carefully how a computer completes its operations quickly. The observation is needed to determine the current throttling of the CPU by the computer system. This cyberattack enables cybercriminals to extract cryptographic keys from remote servers to breach data privacy policies.

Hertzbleed is a potential and emerging threat to the data privacy of cryptographic software. Cybercriminals can leverage a novel chosen-ciphertext attack for performing the full key extraction through remote timing. It is known for showing that on modern x86 CPU, the power side-channel attacks can be transformed into timing attacks. Hertzbleed even helps to leak cryptographic code through remote timing analysis.

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There are two assigned CVE (Common Vulnerabilities and Exposures) systems for tracking Hertzbleed such as CVE-2022-23823 as well as CVE-2022-24436. The root cause is known as the dynamic voltage and frequency scaling (DVFS) for decreasing the power consumption as well as ensuring the system stays below the power and thermal limits. DVFS is known for relying on power consumption as well as processed data. it is also the power management throttling feature in modern CPUs or computer chips. This new security vulnerability has started affecting all types of modern Intel as well as AMD CPUs. It lets cybercriminals steal encryption keys with a side-channel attack.

Cybercriminals can observe the power signature of any cryptographic key. It enables the cybercriminals to convert the power signature into timing data. It has affected all Intel processors and AMD’s Zen 2 and Zen 3 processors or microarchitectures. There are thousands of servers that will store and process relevant information while archiving data and running the services that one uses daily. This new cyberattack on computer chips can affect multiple products such as mobile, desktop, Chromebook, server CPUs, and many more.

Potential solutions to stop the attack on computer chips

Hertzbleed is known to be created by a research group from the University of Texas, the University of Illinois Urbana-Champaign, as well as the University of Washington. There is no solution for the new advanced cyberattack to prevent the data privacy breach. It depends on the normal operation of a computer chip feature and that can be tricky to provide a solution. There can be one potential solution — turning off the CPU throttling features on all computer chips — but it will create a huge impact on the performance.

There are different modes for developers to pave through the power analysis-based side-channel leakages in this modern cyberattack. Developers can use masking, hiding, key-rotation, and many more. The disabling frequency boost feature can also help to mitigate the new computer chip attack. Intel has named the frequency boost feature Turbo Boost while AMD has called it Turbo Core.

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