Intrusion Detection and Prevention Systems (IDPS) Statistics


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Intrusion Detection and Prevention Systems (IDPS) Statistics 2023: Facts about Intrusion Detection and Prevention Systems (IDPS) outlines the context of what’s happening in the tech world.

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Top Intrusion Detection and Prevention Systems (IDPS) Statistics 2023

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Intrusion Detection And Prevention Systems (IDPS) “Latest” Statistics

  • Based on study findings of 24 network assaults separated into DOS, Probe, Remote-to-Local, and user-to-root categories, the NIDS system can identify and classify attacks with an average accuracy of 99.9%.[1]
  • With a market share of almost 75% worldwide, android is the most widely used mobile operating system, making it a target for attackers.[2]
  • If the border is set at 0.9 and the threshold is set to a number that covers 90% of the training data as the normality zone, the remaining 10% of the training data is presumed to be outliers, such as data that came from noise or anomalies.[2]
  • HIDROID uses only 3.8% of the host mobile device’s CPU and 2% of its battery, therefore it puts a little strain on the device’s processing power.[2]
  • Using Euclidian distance, a spherical threshold covers 98% of the training data while leaving the remaining 2% of outliers to lie outside the border.[2]
  • The border between 80% and 100% had been changed when the boundary is 95%, to calculate the outlier threshold.[2]
  • The premium SKU can grow easily up to 30Gbps and interact with availability zones to satisfy the service level agreement SLA of 99.99%, just like the standard SKU can.[3]

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How Useful is Intrusion Detection and Prevention Systems Idps

IDPS serve as a frontline defense mechanism, continuously monitoring network traffic for signs of unauthorized access, malware, or other suspicious activity. By analyzing network packets and log data, these systems can quickly identify and alert security teams to potential threats, allowing them to take immediate action to mitigate the risk.

One of the key benefits of IDPS is its ability to provide real-time visibility into network activity, enabling organizations to swiftly respond to threats before they can cause any damage. By utilizing a combination of signature-based detection methods and behavioral analysis, IDPS can effectively identify known and unknown threats, providing a multi-layered approach to cyber defense.

Moreover, IDPS can help organizations meet compliance requirements by providing detailed logs and reports of network activity, which can be used to demonstrate that adequate security measures are in place. This not only helps organizations avoid costly penalties but also enhances their overall cybersecurity posture.

However, despite their numerous advantages, IDPS are not without limitations. False positives, where legitimate activities are mistaken for threats, can be a major issue, leading to security teams wasting time and resources investigating non-existent threats. Additionally, IDPS may struggle to keep up with rapidly evolving threats, especially when faced with sophisticated and highly targeted attacks.

Furthermore, the sheer volume of network traffic that IDPS must analyze can sometimes overwhelm the system, resulting in missed alerts or delayed responses to threats. As cyber threats become more advanced and attacks more frequent, IDPS must evolve to keep pace with the changing threat landscape.

In conclusion, while Intrusion Detection and Prevention Systems are a valuable component of any organization’s cybersecurity strategy, they must be implemented and managed effectively to realize their full potential. Organizations should regularly review and update their IDPS configurations, ensuring that the system is aligned with their specific security requirements and threat landscape.

Additionally, organizations should invest in comprehensive training for their security teams to ensure they can effectively evaluate and respond to alerts generated by the IDPS. By continuously monitoring and optimizing their IDPS, organizations can bolster their defense against cyber threats and safeguard their networks and sensitive data in an increasingly digital world.

Reference


  1. wikipedia – https://en.wikipedia.org/wiki/Intrusion_detection_system
  2. ieee – https://ieeexplore.ieee.org/document/8970345/
  3. microsoft – https://learn.microsoft.com/en-us/azure/firewall/premium-features

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