Subject: Sampling the Past, Present, and Future Cybersecurity Using eCyberForce MacroProbe v1.4
Hi Everyone,
In American politics, especially during presidential campaigns, polling is a constant fixture. We frequently analyze polls—daily, weekly, and monthly—to gain insight into which candidate is ahead or behind. A similar approach can be applied to cybersecurity for networks and services. How do we sample metadata to report on our past, monitor our present, and forecast our future?
In digital communications, the Nyquist Sampling Theorem states that if we sample a signal at twice the bandwidth, we can accurately reconstruct the signal. This principle is evident in systems like the 64 kbps channel, which carries 3.1 kHz voice data using 8-bit samples of metadata. By sampling beyond the Nyquist rate, we can begin to anticipate future trends, much like how the Embedded Operations Channel (EOC) was once used for managing telephone network operations.
In packet-based communications, the concept of "Nyquist Sampling" becomes more complex when sampling packets for metadata to produce historical reports, reconstruct present signals, and forecast future trends.
Here at eCyberForce, our MacroProbe v1.4 Data Collection Platform utilizes various "Nyquist Sampling" rates to sample packets for metadata, as follows:
1) 1-Hour Sampling Rate: Collects metadata for historical reporting on network and service cybersecurity.
2) 5-Minute Sampling Rate: Captures metadata to reconstruct signals for real-time monitoring of network and service cybersecurity.
3) 1-Minute Sampling Rate: Gathers metadata for future forecasting and trend analysis in cybersecurity.
4) Continuous Packet Recording (No Sampling): Provides raw packet data for detailed analysis using tools like Wireshark.
Solving problems using the Nyquist Sampling rate for metadata is ideal because it allows faster problem-solving for past, present, and future scenarios. Since you're working with a smaller amount of data compared to raw packet data, it’s more efficient to analyze. With eCyberForce’s MacroProbe v1.4, you benefit from revolutionary application platform features that leverage these "Nyquist Sampling" rates metadata, including:
1) CyberIntel: Offering insights into past, present, and future cybersecurity of your network and services risks.
2) Machine Learning: Detecting operational anomalies in real-time and future outliers.
3) Deep Learning Forecasts: Anticipating future cybersecurity of your network and services trends.
4) Big Data Troubleshooting: Identifying root causes of issues faster.
5) Traditional Monitoring Features: Ensuring robust cybersecurity monitoring for your network and services.
With these capabilities, you can gain powerful insights into the past, present, and future of your cybersecurity network and services posture.
Best regards,
Long T. Doan
Founder & CEO of eCyberForce
(978) 886-6807
Linkedin: linkedin.com/in/long-doan-2451a3219
X(Twitter): https://x.com/LongTDoan1
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