Spartan Anti Cheat for Java | Advanced AntiCheat Detection | 1.7-1.21.4 -----
In the mission to create & maintain the best Minecraft anti-cheat, powered by Machine Learning (ML)Build 173 - MachineLearning Changes & Developer Access
News:
@EventHandler
public void Event(MachineLearningEvent e) {
Player p = e.getPlayer();
double default = e.getDefaultPercentage(); // Returns the default legitimacy percentage.
double average = e.getAveragePercentage(); // Returns the average legitimacy percentage.
Boolean combat = e.isCombatRelated(); // Returns a boolean depending if the player is in combat.
Boolean contact = e.isContactRelated() // Returns a boolean depending if the player is starting some combat.
}
This is not Spartan's MachineLearning check but simply the basis of it. Each developer can individually use these variables differently to create a custom detection. How Spartan generates the percentages and what it does next in the original check will stay as a secret. Feel free to make free or third-platform paid additions with this event.
- First of all, let's welcome the new update log style with 2018.
- The MachineLearning has received dramatic changes which will help it check more players with even faster and greater ways.
- Shortened and improved many of the MachineLearning utils.
- Connected the MachineLearning check with the KillAura violations.
- Implemented value rounding to the MachineLearning check.
- Implemented cancelled-hit-checking to the HitReach check.
- Added more verbose information to the MachineLearning check.
- Fixed a Combat utils null-pointer console error.
- Fixed a Speed LiquidBounce y-port bypass.
- Removed a pointless null protections from some checks.
- KillAura accuracy false positive against velocity hacks.
- KillAura aim-accuracy false positive against velocity hacks.
- Fixed an EntityMove skeleton-horse null-pointer console error.
- Fixed a SelfHit velocity protection null-pointer console error.
- Fixed a Velocity combined bouncing-block false positive.
- Added a new developer event named MachineLearningEvent.
- Optimized the detection thread of the Velocity check.
Code (Text):
@EventHandler
public void Event(MachineLearningEvent e) {
Player p = e.getPlayer();
double default = e.getDefaultPercentage(); // Returns the default legitimacy percentage.
double average = e.getAveragePercentage(); // Returns the average legitimacy percentage.
Boolean combat = e.isCombatRelated(); // Returns a boolean depending if the player is in combat.
Boolean contact = e.isContactRelated() // Returns a boolean depending if the player is starting some combat.
}
Resource Information
Author:
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Total Downloads:
10,703
First Release:
Jul 9, 2016
Last Update:
Today at 4:18 PM
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