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Cyber Security

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Home/Internal Security/Cyber Security/Page 6

Mains Answer Writing Latest Questions

Tejavath Umesh Chandra
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Tejavath Umesh ChandraBegginer
Asked: July 20, 2024In:
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How do cyber threat intelligence (CTI) programs help organizations anticipate and mitigate cyber threats?

ctimitigate cyber threats?
  1. Tejavath Umesh Chandra
    Tejavath Umesh Chandra Begginer

    Cyber threat intelligence (CTI) programs gather, analyze, and disseminate information about current and potential cyber threats. By understanding the tactics, techniques, and procedures (TTPs) used by attackers, organizations can proactively defend against them. CTI helps in identifying vulnerabilitRead more

    Cyber threat intelligence (CTI) programs gather, analyze, and disseminate information about current and potential cyber threats. By understanding the tactics, techniques, and procedures (TTPs) used by attackers, organizations can proactively defend against them. CTI helps in identifying vulnerabilities, detecting early warning signs of attacks, and informing security strategies. It also supports incident response by providing context to security events. Implementing a CTI program involves collecting data from various sources, analyzing it for actionable insights, and integrating these insights into security operations, thereby enhancing an organization’s ability to anticipate and mitigate cyber threats.

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Mahdiraza Gabharani
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Mahdiraza GabharaniBegginer
Asked: July 20, 2024In: , ,
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What are the emerging trends in threat intelligence and how are they helping organizations anticipate and mitigate cybersecurity threats?

  1. SHUBHAM GORDE
    SHUBHAM GORDE Begginer

    Emerging trends in threat intelligence are significantly enhancing how organizations anticipate and mitigate cybersecurity threats. Key trends include: 1.AI and Machine Learning: AI and machine learning are being used to analyze vast amounts of data quickly, identifying patterns and predicting potenRead more

    Emerging trends in threat intelligence are significantly enhancing how organizations anticipate and mitigate cybersecurity threats.

    Key trends include:

    1.AI and Machine Learning: AI and machine learning are being used to analyze vast amounts of data quickly, identifying patterns and predicting potential threats before they occur. This allows for faster and more accurate detection and response to threats.

    2.Threat Intelligence Platforms (TIPs): TIPs aggregate data from various sources, providing a comprehensive view of the threat landscape. They help organizations prioritize threats based on their potential impact and likelihood.

    3.Collaboration and Sharing: Increased collaboration between organizations, governments, and cybersecurity firms is leading to better threat intelligence. Sharing threat data helps in identifying and responding to threats more effectively.

    4.Automated Response: Automation tools are being developed to respond to threats in real-time. These tools can isolate affected systems, block malicious IP addresses, and implement other countermeasures without human intervention.

    5.Advanced Analytics: Using big data analytics, organizations can uncover hidden threats and vulnerabilities. This proactive approach allows them to fortify defenses before an attack happens.

     

    These trends are making it easier for organizations to stay ahead of cyber threats, ensuring better protection for their data and systems.

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Sayak Paul_IT_62
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Sayak Paul_IT_62Begginer
Asked: July 25, 2024In:
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questionwhat are some common types of cyber attacks?
  1. Nistha Hansaria
    Nistha Hansaria Begginer

    Cyber attacks come in various forms: 1. Phishing: Fraudulent messages trick users into revealing sensitive information. 2. Ransomware: Malware encrypts files and demands payment for access restoration. 3. Malware: General term for harmful software like viruses and Trojans. 4. Denial of Service (DoS)Read more

    Cyber attacks come in various forms:

    1. Phishing: Fraudulent messages trick users into revealing sensitive information.
    2. Ransomware: Malware encrypts files and demands payment for access restoration.
    3. Malware: General term for harmful software like viruses and Trojans.
    4. Denial of Service (DoS): Overwhelms systems with traffic to disrupt services; DDoS uses multiple sources.
    5. Man-in-the-Middle (MitM): Intercepts and possibly alters communications between parties.
    6. SQL Injection: Exploits database vulnerabilities to access or manipulate data.
    7. Zero-Day Exploits: Attacks target unknown software vulnerabilities before they are fixed.
    8. Social Engineering: Manipulates individuals into divulging confidential information.
    9. Brute Force: Tries numerous passwords to gain access to accounts.
    10. Credential Stuffing: Uses stolen credentials to access multiple accounts.
    11. Insider Threats: Threats from within an organization.
    12. Drive-By Downloads: Malicious software downloaded automatically from compromised websites.

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Samruddhi Patil
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Samruddhi PatilLearner
Asked: October 15, 2024In:
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  1. shivamx
    shivamx Learner

    Defense mechanisms against APTs are becoming very complex as most modern advancements involve proactive and predictive types of defense mechanisms. Most forms of APTs work as multistage attacks, covert reconnaissance, as well as data exfiltration attacks, mainly oriented to evade traditional detectiRead more

    Defense mechanisms against APTs are becoming very complex as most modern advancements involve proactive and predictive types of defense mechanisms. Most forms of APTs work as multistage attacks, covert reconnaissance, as well as data exfiltration attacks, mainly oriented to evade traditional detection tools. This is the reason newer defense approaches are designed based on the use of machine learning, AI, and behavioral analytics for real-time threat detection. The above are some of the vital developments and findings about machine learning.

    1. Machine Learning and AI-based Threat Detection – Behavioral Analysis and Anomaly Detection: In contrast to the Signature-based, an ML model will identify anomalous pattern or behavior as to how normal networking and user activity is perceived. Any anomaly be that a strange login location, non-conventional time, data access time, among others, will be identified and it could well mean an APT.
    These approaches work very well because at such minimal deviations might be noticed and this can actually be picked both with supervision and unsupervised as these use methodologies including cluster or anomaly detection methods.
    Predictive Analytics and Threat Intelligence: Models trained against large datasets of observed previously APT campaign datasets shall identify precursors or Indicators of Compromise, IoCs, well ahead of the full-fledged attack. This capability helps to proactively lock the vulnerable assets for security teams.
    – NLP in Phishing Detection: Various APTs have their entry using spear-phishing attacks. The models for NLP-based identification depend upon the language pattern analysis of the email message or text in messenger that can determine the potential malware content and screen the suspicious emails in real-time.

    2. TIP integration
    TIPs will aggregate data from OSINT, dark web sources, and known IoCs. Bring AI models into EDR systems to make detections even more effective by correlating the threat signals with real-world attack data to make them more accurate and reduce the response time.

    3. Endpoint Detection and Response with Artificial Intelligence
    Modern EDR uses machine learning to observe endpoints in real time. Meaning, it’s identifying all the activities of elevation privileges, lateral movement in the network, etc. Applying an AI-powered EDR will make the response automated-this system might isolate it to other systems, and it might prevent malware from moving forward by blocking a particular malicious process.

    4. User and Entity Behavior Analytics (UEBA)
    They use machine learning algorithms for the analysis of communications and interactions of users and devices in a network and, simultaneously, detect behavior when it is anomalous enough that could signal, further, credential theft or insider threats. As UEBA systems can catch very stealthy malicious activity that may remain unnoticed by other traditional security tools, they improve as they get more data which they collect in real time.

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Anonymous
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Anonymous
Asked: July 22, 2024In:
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Designing a Scalable and Secure Proof-of-Stake (PoS) Consensus Algorithm for Permissioned Blockchains

blockchaincomputercyber securityetherium
  1. Chitra Kala Sharma
    Chitra Kala Sharma Begginer

    Blockchain is a shared, immutable ledger that facilitates the process of recording transactions and tracking assets in a business network. An asset can be tangible (a house, car, cash, land) or intangible (intellectual property, patents, copyrights, branding). Virtually anything of value can be tracRead more

    Blockchain is a shared, immutable ledger that facilitates the process of recording transactions and tracking assets in a business network.

    An asset can be tangible (a house, car, cash, land) or intangible (intellectual property, patents, copyrights, branding). Virtually anything of value can be tracked and traded on a blockchain network, reducing risk and cutting costs for all involved.

    Why is blockchain important?

    Business runs on information. The faster information is received and the more accurate it is, the better. Blockchain is ideal for delivering that information because it provides immediate, shared, and observable information that is stored on an immutable ledger that only permissioned network members can access. A blockchain network can track orders, payments, accounts, production and much more. And because members share a single view of the truth, you can see all details of a transaction end to end, giving you greater confidence, and new efficiencies and opportunities.

    Key elements of a blockchain:

    Distributed ledger technology:

    All network participants have access to the distributed ledger and its immutable record of transactions. With this shared ledger, transactions are recorded only once, eliminating the duplication of effort that’s typical of traditional business networks.

    Immutable records:

    No participant can change or tamper with a transaction after it’s been recorded to the shared ledger. If a transaction record includes an error, a new transaction must be added to reverse the error, and both transactions are then visible.

    Smart contracts:

    To speed transactions, a set of rules that are called a smart contract is stored on the blockchain and run automatically. A smart contract defines conditions for corporate bond transfers, include terms for travel insurance to be paid and much more.

    Benefits of blockchain:

    What needs to change: Operations often waste effort on duplicate record keeping and third-party validations. Record-keeping systems can be vulnerable to fraud and cyberattacks. Limited transparency can slow data verification. And with the arrival of IoT, transaction volumes have exploded. All of this slows business, drains the bottom line, and means that we need a better way. Enter blockchain.

    Greater trust:

    With blockchain, as a member of a members-only network, you can rest assured that you are receiving accurate and timely data. And that your confidential blockchain records are shared only with network members to whom you granted access.

    Greater security:

    Consensus on data accuracy is required from all network members, and all validated transactions are immutable because they are recorded permanently. No one, not even a system administrator, can delete a transaction.

    More efficiencies:

    With a distributed ledger that is shared among members of a network, time-wasting record reconciliations are eliminated. And to speed transactions, a set of rules that are called a smart contract can be stored on the blockchain and run automatically.

    Types of blockchain networks:

    There are several ways to build a blockchain network. They can be public, private, permissioned, or built by a consortium.

    Public blockchain networks:

    A public blockchain is one that anyone can join and participate in, such as Bitcoin. Drawbacks might include the substantial computational power that is required, little or no privacy for transactions, and weak security. These are important considerations for enterprise use cases of blockchain.

    Private blockchain networks:

    A private blockchain network, similar to a public blockchain network, is a decentralized peer-to-peer network. However, one organization governs the network, controlling who is allowed to participate, run a consensus protocol and maintain the shared ledger. Depending on the use case, this can significantly boost trust and confidence between participants. A private blockchain can be run behind a corporate firewall and even be hosted on premises.

    Permissioned blockchain networks:

    Businesses who set up a private blockchain will generally set up a permissioned blockchain network. It is important to note that public blockchain networks can also be permissioned. This places restrictions on who is allowed to participate in the network and in what transactions. Participants need to obtain an invitation or permission to join.

    Consortium blockchains:

    Multiple organizations can share the responsibilities of maintaining a blockchain. These preselected organizations determine who submit transactions or access the data. A consortium blockchain is ideal for business when all participants need to be permissioned and have a shared responsibility for the blockchain.

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Yukta Dehankar
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Yukta DehankarBegginer
Asked: July 14, 2024In:
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How do emerging cyber threats impact national security, and what strategies can governments and organizations adopt to enhance their cyber defense capabilities?

question
  1. Md Akbar Siddique
    Md Akbar Siddique Begginer

    Emerging cyber threats significantly impact national security by targeting critical infrastructure, stealing sensitive data, and disrupting essential services. These threats can come from state-sponsored actors, criminal organizations, and individual hackers, leading to economic losses, underminingRead more

    Emerging cyber threats significantly impact national security by targeting critical infrastructure, stealing sensitive data, and disrupting essential services. These threats can come from state-sponsored actors, criminal organizations, and individual hackers, leading to economic losses, undermining public trust, and potentially causing physical harm.

    Strategies to enhance cyber defense capabilities:

    1. Strengthening Cybersecurity Frameworks:
      • Implementing robust policies and regulations.
      • Adopting international standards and best practices.
    2. Enhancing Threat Intelligence:
      • Sharing information between government agencies and private sectors.
      • Investing in advanced threat detection and analysis tools.
    3. Building Cyber Resilience:
      • Developing incident response plans.
      • Conducting regular cybersecurity drills and simulations.
    4. Investing in Technology:
      • Utilizing AI and machine learning for threat detection and response.
      • Deploying advanced encryption and authentication methods.
    5. Promoting Public-Private Partnerships:
      • Collaborating on cybersecurity initiatives and research.
      • Engaging in joint cybersecurity exercises and information sharing.
    6. Raising Cybersecurity Awareness:
      • Educating the workforce and the public on cyber hygiene.
      • Implementing comprehensive training programs.
    7. Strengthening International Cooperation:
      • Participating in global cybersecurity forums.
      • Engaging in cross-border collaborations to tackle cybercrime.

    By adopting these strategies, governments and organizations can bolster their defenses against the evolving landscape of cyber threats, thereby enhancing national security.

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Ishita Chowdhury
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Ishita ChowdhuryBegginer
Asked: July 26, 2024In:
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What are the most common cyber threats you are aware of, and how do they impact individuals and organizations?

cybersecuritythreats
  1. Pankaj Dhawan
    Pankaj Dhawan Begginer

    Risks from cyber attacks can hurt regular people by losing their personal information and money. These are the most common cyber attacks: Malware: This is the term used for malicious software that thieves data, disrupts operations, or damages systems; under this are viruses, ransomware, and spyware.Read more

    Risks from cyber attacks can hurt regular people by losing their personal information and money. These are the most common cyber attacks:

    1. Malware: This is the term used for malicious software that thieves data, disrupts operations, or damages systems; under this are viruses, ransomware, and spyware. It results in personal information loss to individuals and organizations in terms of finance, reputation damage, and legal consequences.
    2. Phishing: It is an attempt to steal confidential information like passwords or credit card details by posing as some trustworthy source. This might result in identity theft and financial loss for the customer and data leakage with all its associated damages to the respective organization.
    3. Ransomware: after inspiring, a malware encrypts files, obliging one to pay for the decryption keys. Existent is the view that when people and organizations are locked out from very vital data, this may amount to much disruption or even financial ruin if they won’t or can’t pay the ransom.
    4. Social Engineering: Manipulation of people for the revelation of secret information or induction of performance of acts compromising security—this can mean unauthorized access, data breaches, and, hence, financial losses for the person or the institution.
    5. Zero-Day Attacks: The exploitation is done on a vulnerability in the software before the developers manage or are able to release patches for it. This can result in wholesale damages and loss due to the absence of defense at that particular moment.

     

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Team
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TeamSupreme
Asked: August 28, 2024In:
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Cyber Security Science: What Is It? Bring up its significance. (125 Words) [UPPSC 2018]

uppsc: cyber security
  1. Sana Mansoori
    Sana Mansoori Begginer

    Cybersecurity Science is all about keeping information safe on the internet. It's like a shield that protects our online stuff from bad guys who want to steal or harm it. Just like we lock our doors to keep our homes safe, cybersecurity locks up our digital world.Think of it as a digital superhero tRead more

    Cybersecurity Science is all about keeping information safe on the internet. It’s like a shield that protects our online stuff from bad guys who want to steal or harm it. Just like we lock our doors to keep our homes safe, cybersecurity locks up our digital world.Think of it as a digital superhero that fights off hackers, viruses, and other online dangers. It uses special tools and tricks to make sure our emails, passwords, bank details, and everything else we do online stays private and secure. in  today’s world, where we share so much online, cybersecurity is super important. It helps us shop, chat, work, and play safely on the internet. Without it, our personal information could be at risk, and we wouldn’t feel as safe and confident using the web. So, cybersecurity science is like our online guardian, making sure our digital lives are protected and secure.

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