Distributed Denial of Service (DDoS) Attack

Source: TH

Context: Karnataka’s property registration portal, Kaveri 2.0, faced severe disruptions due to a Distributed Denial of Service (DDoS) attack, impacting operations.

About DDoS Attacks:

• What is a DDoS Attack?

• A Distributed Denial of Service (DDoS) attack floods a server or network with excessive traffic, causing service disruptions. It leverages a botnet a network of compromised devices—to send overwhelming requests to the target system.

• A Distributed Denial of Service (DDoS) attack floods a server or network with excessive traffic, causing service disruptions.

• It leverages a botnet a network of compromised devices—to send overwhelming requests to the target system.

• How Does a DDoS Attack Work?

• Botnet Formation: Hackers infect multiple devices with malware, converting them into bots. Traffic Overload: The botnet directs massive fake requests to the target, exhausting bandwidth or processing power. Service Disruption: Legitimate users experience slowdowns or complete service failure. Diversion Tactic: Attackers may use DDoS as a smokescreen for data breaches or malware deployment.

• Botnet Formation: Hackers infect multiple devices with malware, converting them into bots.

• Traffic Overload: The botnet directs massive fake requests to the target, exhausting bandwidth or processing power.

• Service Disruption: Legitimate users experience slowdowns or complete service failure.

• Diversion Tactic: Attackers may use DDoS as a smokescreen for data breaches or malware deployment.

• How to Counter a DDoS Attack?

• Traffic Filtering: Identify and block malicious requests using AI-based monitoring. Rate Limiting: Restrict the number of requests per user to prevent overload. Bot Detection Tools: Use CAPTCHA and behavioral analysis to block automated attacks. Robust Authentication: Strengthen login security to prevent unauthorized access. Incident Response Teams: Establish cybersecurity teams to monitor, detect, and mitigate threats.

• Traffic Filtering: Identify and block malicious requests using AI-based monitoring.

• Rate Limiting: Restrict the number of requests per user to prevent overload.

• Bot Detection Tools: Use CAPTCHA and behavioral analysis to block automated attacks.

• Robust Authentication: Strengthen login security to prevent unauthorized access.

• Incident Response Teams: Establish cybersecurity teams to monitor, detect, and mitigate threats.