SHIELDIOT LTD. (20240232339). SYSTEM AND METHOD FOR ANOMALY DETECTION IN IOT DATA RECORDS simplified abstract

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SYSTEM AND METHOD FOR ANOMALY DETECTION IN IOT DATA RECORDS

Organization Name

SHIELDIOT LTD.

Inventor(s)

Ohad Levin of Haifa (IL)

Dan Feldman of Haifa (IL)

SYSTEM AND METHOD FOR ANOMALY DETECTION IN IOT DATA RECORDS - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240232339 titled 'SYSTEM AND METHOD FOR ANOMALY DETECTION IN IOT DATA RECORDS

Simplified Explanation:

This patent application describes a method for accurately detecting anomalies in the behavior of multiple Internet of Things devices communicating over a network, specifically identifying cyberattacks.

  • Detect anomalies in IoT device behavior
  • Identify cyberattacks
  • Utilize a computerized system and computer-readable medium

Key Features and Innovation:

  • High accuracy detection of anomalies in IoT device behavior
  • Focus on identifying cyberattacks
  • Utilization of computerized system and computer-readable medium for detection

Potential Applications:

  • Cybersecurity for IoT networks
  • Network monitoring and threat detection
  • Enhancing overall network security

Problems Solved:

  • Improving detection of cyberattacks on IoT devices
  • Enhancing network security measures
  • Providing early warning system for potential threats

Benefits:

  • Increased network security
  • Early detection of cyber threats
  • Prevention of potential cyberattacks

Commercial Applications:

  • Cybersecurity companies
  • IoT device manufacturers
  • Network security providers

Prior Art:

Research in anomaly detection in IoT networks and cyber threat identification.

Frequently Updated Research:

Ongoing studies on improving anomaly detection in IoT networks and cyber threat prevention.

Questions about Anomaly Detection in IoT Networks:

1. How does this method improve upon existing anomaly detection techniques in IoT networks? 2. What are the potential limitations of this method in detecting cyberattacks on IoT devices?


Original Abstract Submitted

a method for high accuracy detection of anomalies in a behavior of a plurality of internet of things devices communicating over a communication network wherein the anomalies indicative of at least one cyberattack. an appropriate non-transitory computer readable medium and an appropriate computerized system is also described.