Automation and data science are long-term investments when it comes to cybersecurity
Understanding the challenges of data science is important before applying it in cybersecurity.
Category:
Tech matters
The answer’s in the post
What can the experience of the Universal Postal Union tell us about the Internet’s arrangements for settlement and peering?
Don’t just automate, address the root cause
Its important to get the fundamentals right before considering what automation techniques you want to employ in your cybersecurity program.
Machine Learning is no automatic security fix
Guest Post: Why has it taken so long for Machine Learning to become feasible?
The promises and peril of machine-learning for cybersecurity
Guest Post: How can machine learning be used in cybersecurity without data being compromised by malicious actors?
98% of Taiwan’s IP address holders have signed RPKI ROAs
Guest Post: TWNIC continues to encourage Internet routing security with the RPKI Validator service.
NetDice verifies your SLAs using probabilistic analysis
Guest Post: Learn how NetDice can verify four 9s SLAs within minutes, even in large networks with hundreds of links.
Connecting Bhutan’s remote locations with TV White Space
An ISP in Bhutan had to think outside the box to connect remote monasteries to the Internet.
Mantis: Reactive programmable switches
Guest Post: An new open-source framework achieves both generic support of reactive behaviours and sub-RTT level latency without penalizing line-rate packet processing speed.
DDoS hide and seek: on the effectiveness of a booter service takedown
Guest Post: Study investigates booter-based DDoS attacks in the wild and the impact of an FBI takedown.