Telecom Network Spam Detection via TP-PID Tagging
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Solution Overview
Problem
The increasing prevalence of unsolicited commercial advertisements, phishing, and SMS spam in mobile text messaging poses challenges due to limited availability of effective mobile phone spam-filtering software.
Innovation Solution
A telecommunications network node uses a fraud detection module to assess the likelihood of harm and category of an SMS message, assigning a message modification attribute value such as a TP-PID value, which is then transmitted to the receiving device to facilitate filtering or appropriate display.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If mobile phones use traditional spam-filtering software, then spam detection capability is provided, but device complexity and limited availability of effective filtering software remain issues
Solution Approach 1:
The patent introduces a telecommunications network node as an intermediary between the sender and receiver. This network node performs spam detection and classification before messages reach the mobile device, thereby providing reliable spam filtering without increasing device complexity. The network node acts as a mediator that handles the complex detection tasks centrally.
Solution Approach 2:
The system performs spam detection and classification actions in advance, before the message is delivered to the mobile device. The network node assesses the likelihood of harm and assigns classification values upfront, so that when the message reaches the device, the filtering decision is already made, simplifying the device-side requirements.
2Measurement precision
If more comprehensive spam-filtering software is deployed on mobile devices, then spam detection accuracy improves, but the availability and adoption of effective filtering software decreases
Solution Approach 1:
By positioning the telecommunications network node as an intermediary, the system provides accurate spam detection without requiring widespread deployment of sophisticated filtering software on user devices. The network node centralizes the detection capability, making accurate spam filtering available to all users regardless of their device software capabilities.
Solution Approach 2:
The network node provides a universal spam detection service that works across all mobile devices and messaging systems. Instead of requiring device-specific filtering software, the system offers a multi-functional solution that can be applied universally through the network infrastructure, improving availability and adaptability.
3Ease of operation
If spam-filtering functionality is implemented on mobile devices, then message filtering capability is provided, but the cost to users increases due to messaging fees
Solution Approach 1:
The network node serves as an intermediary that provides filtering capability without requiring users to pay additional messaging fees. By performing detection and classification at the network level, the system enables free spam filtering for users, as the filtering function is embedded in the network infrastructure rather than requiring separate paid software or services on devices.
Data Source
AI summary
The invention relates to tagging messages on a telecommunications network to convey, to the receiving device, information regarding the message, such as potential malicious nature and intent. In an example, a telecommunications network node receives a request to transmit an SMS message from a first mobile device to a second mobile device. The telecommunications network node uses a fraud detection module to determine a likelihood of harm, an extent of possible damage and a category of the SMS message. Using the output of the fraud detection module, the telecommunications network node ascribes to the SMS message a message modification attribute value, for example a TP-PID value. The modified message is transmitted to the second mobile device, where it is displayed with a warning.