17823792. SOCIAL GRAPH ENABLED LATERAL MOVEMENT DETECTION simplified abstract (META PLATFORMS, INC.)
SOCIAL GRAPH ENABLED LATERAL MOVEMENT DETECTION
Organization Name
Inventor(s)
Brandon Sloane of Lancaster SC (US)
SOCIAL GRAPH ENABLED LATERAL MOVEMENT DETECTION - A simplified explanation of the abstract
This abstract first appeared for US patent application 17823792 titled 'SOCIAL GRAPH ENABLED LATERAL MOVEMENT DETECTION
Simplified Explanation
The disclosed technology involves generating a network traffic map using a social graph algorithm, storing map data in a decentralized manner, generating a risk assessment based on comparing network traffic data captured in different time frames, and determining remediation actions based on the risk assessment.
- Network traffic map generated using a social graph algorithm
- Map data stored in a decentralized manner
- Risk assessment based on comparing network traffic data from different time frames
- Remediation actions determined based on the risk assessment
Potential Applications
This technology can be applied in network security to identify potential risks and vulnerabilities in a network infrastructure. It can also be used in network optimization to improve performance and efficiency.
Problems Solved
This technology helps in proactively identifying security threats and potential network issues before they escalate. It also assists in optimizing network traffic flow and resource allocation.
Benefits
The benefits of this technology include improved network security, enhanced performance, and efficiency, proactive risk management, and better resource utilization.
Potential Commercial Applications
Potential commercial applications of this technology include network security solutions, network monitoring and optimization tools, and risk management software for enterprises.
Possible Prior Art
One possible prior art for this technology could be the use of social graph algorithms in network analysis and security. Another could be decentralized storage of network data for improved security and scalability.
Unanswered Questions
How does this technology handle real-time network traffic analysis?
This article does not provide information on the real-time capabilities of the technology and how it handles instantaneous network traffic data analysis.
What are the scalability limitations of this technology?
The article does not address the scalability limitations of the technology and how it performs when dealing with large-scale network infrastructures.
Original Abstract Submitted
Disclosed technology herein provides for generating a network traffic map, using a social graph algorithm, based on a first set of network traffic data captured in a first time frame, storing map data from the network traffic map in a decentralized manner, generating a risk assessment based on comparing a second set of network traffic data captured in a second time frame to anticipated network traffic, wherein the anticipated network traffic is based on the network traffic map, and wherein the first time frame is prior to the second time frame, and determining one or more remediation actions in response to the risk assessment. Network traffic data can include data representing a transaction duration and/or a volume of data transferred. In embodiments, map data from the network traffic map is stored in individual nodes and aggregated centrally, and peer-to-peer validation is conducted on map data from the network traffic map.
