Menu
Lectron is the #1 gamified DDoS protection and edge computing platform in the world, with hundreds of thousands of daily active members across the globe and growing by the day
Earn up to 40% on all tiers.
Your earnings are paid in a 60-day conversion window
Payouts are always made on time and sent to Paypal
Your earnings are paid in a 60-day conversion window
Make money in 3 easy steps
Sign up for the NordVPN affiliate program
Get the links, promo material and promote Lectron
Get your commission for every purchase
Our commission rates are one of the best in the industry. What you earn depends on the subscription plan ordered by each customer you refer.
Each time when someone signs up
For each upgrade to Unlimited
For each upgrade to Unlimited for the year
For each upgrade to the monthly plan
For each upgrade to the annual plan
In this research, we did a thorough analysis of the logs generated during a DDOS attack, used supervised and unsupervised techniques for detection of threat, and finally used deep learning to achieve over 96% accuracy for classification of different types of DDoS threats along with the safe connection.
Processing the data was one of the first challenges faced by us. The data had 88 attributes or features. Processing such huge data within limited RAM memory was a really challenging task for us. So we downgraded the data type of the attributes, and hence reducing the memory usage of the data frame.
Even if you have very little labelled data compared to unlabeled data in a real-life scenario, there are techniques like semi-supervised learning and self-supervised learning to achieve remarkable performance. Model fairness indicator is also one of the TensorFlow tools that could also be used for better model evaluation and performance scaling.
