18523501. SUSCEPTIBILITY-BASED WARNING TECHNIQUES simplified abstract (Cisco Technology, Inc.)

SUSCEPTIBILITY-BASED WARNING TECHNIQUES

Organization Name

Cisco Technology, Inc.

Inventor(s)

Nikolaos Sapountzis of San Francisco CA (US)

Madhuri Kolli of San Jose CA (US)

Fabio R. Maino of Palo Alto CA (US)

Daniela Alvim Seabra de Oliveira of Gainesville FL (US)

SUSCEPTIBILITY-BASED WARNING TECHNIQUES - A simplified explanation of the abstract

This abstract first appeared for US patent application 18523501 titled 'SUSCEPTIBILITY-BASED WARNING TECHNIQUES

Simplified Explanation

The abstract describes a method for analyzing electronic messages to determine whether to send a warning to the user based on their interactions with the messages.

• Training models based on user interactions and message data
• Analyzing incoming messages to generate feature data
• Determining user characteristics to generate additional feature data
• Inputting feature data into the model to determine if a warning should be sent to the user

Potential Applications

This technology could be applied in email filtering systems to help users identify potentially harmful or suspicious messages.

Problems Solved

This technology helps users avoid falling victim to phishing scams or other malicious activities by providing warnings about suspicious messages.

Benefits

Users can feel more secure and confident in their online interactions knowing that they have a system in place to alert them to potential threats.

Potential Commercial Applications

This technology could be integrated into email service providers or cybersecurity software to enhance their offerings and provide added value to users.

Possible Prior Art

One possible prior art could be existing email filtering systems that analyze message content and sender information to determine if a message is spam or potentially harmful.

Unanswered Questions

• How does this technology handle false positives or false negatives in warning users about messages?
• What measures are in place to protect user privacy and data security when analyzing their interactions with electronic messages?

Original Abstract Submitted

In one embodiment, a method comprises training at least one model based at least in part on interactions between one or more users and electronic messages sent to addresses associated with the one or more users, receiving a first electronic message sent to a first address associated with a first user, analyzing the first electronic message to generate first feature data, determining one or more characteristics of the first user to generate second feature data, inputting, to the at least one model, the first feature data and the second feature data, and receiving, as output of the at least one model, data indicating whether to output, to the first user, a warning regarding the first electronic message.