Distributed Denial of Service (DDoS) Mitigation a Core Defense Mechanisms in Web Security MCQs

The primary goal of a DDoS attack is to disrupt or overwhelm the target's online services, causing a denial of service.

A DDoS attack involves multiple distributed sources to amplify the attack, distinguishing it from a traditional DoS attack.

A successful DDoS attack can lead to temporary or prolonged unavailability, causing financial losses for the targeted website or online service.

DDoS attacks exploit the limitations of a target's resources by overwhelming network bandwidth, server capacity, or application resources.

Using multiple distributed sources in a DDoS attack amplifies the attack and makes it harder to mitigate.

A volumetric DDoS attack aims to deplete the target's network bandwidth by generating a high volume of traffic.

An application-layer DDoS attack focuses on overwhelming specific application resources or functionalities.

A reflective DDoS attack utilizes multiple distributed sources to reflect and amplify traffic, exploiting amplification techniques.

A botnet is a network of compromised computers controlled by an attacker to launch DDoS attacks.

Attackers typically gain control of devices in a botnet by exploiting vulnerabilities, using malware, or conducting phishing attacks to compromise devices.

Rate limiting in DDoS mitigation strategies controls the rate of incoming requests to prevent overwhelming resources.

IP blacklisting in DDoS mitigation blocks traffic from known malicious IP addresses to prevent their access.

Traffic filtering in DDoS mitigation analyzes and allows legitimate traffic while blocking malicious traffic.

CAPTCHA challenges in DDoS mitigation present challenges to verify user interactions and filter out automated bots.

Load balancing in DDoS mitigation distributes incoming traffic across multiple servers to prevent overloading and improve resource utilization.

Web Application Firewall (WAF) filters and blocks malicious traffic at the application layer, contributing to DDoS protection.

Using a Content Delivery Network (CDN) for DDoS mitigation distributes content across multiple servers to absorb and mitigate DDoS attacks.

Failover systems in DDoS resilience automatically switch to backup systems to maintain service availability during an attack.

Anycast routing in DDoS mitigation distributes traffic across multiple servers using the same IP address.

Conducting DDoS simulations tests and evaluates the effectiveness of DDoS mitigation measures.

Cloud-based DDoS protection services leverage the cloud infrastructure to absorb and mitigate large-scale attacks, enhancing scalability.

Cloud-based DDoS protection offers access to real-time threat intelligence and the ability to adapt to evolving attack patterns.

A scrubbing center in cloud-based DDoS protection filters and cleans malicious traffic before reaching the target's network.

Automated traffic analysis in cloud-based DDoS protection analyzes traffic patterns in real-time to detect and mitigate DDoS attacks.

On-demand scaling of resources in cloud-based DDoS protection dynamically scales resources to handle sudden increases in traffic during an attack.

Cloud-based DDoS protection minimizes false positives by utilizing advanced algorithms to distinguish between legitimate and malicious traffic.

A global network of scrubbing centers in cloud-based DDoS protection distributes traffic across multiple global locations for efficient mitigation.

Cloud-based DDoS protection provides real-time visibility into ongoing attacks through dashboards and analytics for monitoring and analysis.

Cloud-based DDoS protection allows rapid deployment without requiring extensive hardware setup, offering an advantage in terms of quick implementation.

Cloud-based DDoS protection contributes to cost-effectiveness by reducing the need for dedicated on-premises hardware and maintenance.