Telefonaktiebolaget lm ericsson (publ) (20240289458). Method and Device Relating to Decision-Making Threshold simplified abstract

Method and Device Relating to Decision-Making Threshold

Organization Name

telefonaktiebolaget lm ericsson (publ)

Inventor(s)

Joel Patrik Reijonen of KIRKKONUMMI (FI)

[[:Category:Harri Pietil� of MARTTILA (FI)|Harri Pietil� of MARTTILA (FI)]][[Category:Harri Pietil� of MARTTILA (FI)]]

Method and Device Relating to Decision-Making Threshold - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240289458 titled 'Method and Device Relating to Decision-Making Threshold

The abstract describes a method for determining a decision-making threshold (DMT) by analyzing environment threat data and target metric scores to predict malicious threat events and adapt the DMT accordingly.

• Obtaining environment threat data with labeled events indicating threat events
• Obtaining target metric scores
• Computing anomaly predictions to determine if events are malicious
• Comparing anomaly predictions with DMT to predict malicious threat events
• Computing current metric scores for the environment threat data using labels and malicious threat predictions
• Comparing current metric scores with target metric scores
• Adapting the DMT based on the comparison of metric scores

Potential Applications: - Cybersecurity threat detection - Risk management in various industries - Fraud detection in financial transactions

Problems Solved: - Enhancing threat detection accuracy - Improving decision-making processes in response to threats - Adapting to evolving threat landscapes

Benefits: - Increased security measures - Timely response to potential threats - Enhanced risk mitigation strategies

Commercial Applications: Title: "Enhanced Threat Detection System for Cybersecurity Applications" This technology can be utilized by cybersecurity firms to improve threat detection capabilities, leading to more secure systems and data protection. Market implications include increased demand for advanced threat detection solutions in various industries.

Questions about the technology: 1. How does this method improve upon existing threat detection systems? 2. What are the key factors influencing the adaptation of the decision-making threshold in response to threat predictions?

Frequently Updated Research: Stay updated on the latest advancements in anomaly detection algorithms and threat prediction models to enhance the effectiveness of this technology.

Original Abstract Submitted

a method for determining a decision-making threshold, dmt, comprising obtaining environment threat data () comprising one or more events, each event associated with a label providing an indication of a threat event. the method further comprises obtaining the target metric scores (); computing anomaly predictions relating to if the events are malicious or not and comparing the anomaly predictions with a dmt to obtain malicious threat predictions. the method further comprises computing current metric scores () for the environment threat data using at least the labels and the malicious threat predictions for the environment threat data; comparing the computed current metric scores with the target metric scores and adapting the dmt depending on if the computed metric scores are within a range of the target metric scores or not.