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Infosys Ltd lost 1.44% today to trade at Rs 1503.6. The BSE Information Technology index is down 0.71% to quote at 35221.71. The index is up 3.06 % over last one month. Among the other constituents of the index, Affle 3i Ltd decreased 1.14% and Quick Heal Technologies Ltd lost 1.02% on the day. The BSE Information Technology index went down 19.92 % over last one year compared to the 1.17% fall in benchmark SENSEX.
Infosys Ltd has added 3.88% over last one month compared to 3.06% gain in BSE Information Technology index and 1.64% rise in the SENSEX. On the BSE, 24233 shares were traded in the counter so far compared with average daily volumes of 3.55 lakh shares in the past one month. The stock hit a record high of Rs 2006.8 on 13 Dec 2024. The stock hit a 52-week low of Rs 1307.1 on 07 Apr 2025.
The patent's subject area is “Method and System for Hardware and Software Based User Identification for Advertisement Fraud Detection”. It introduces a smart framework for detecting digital advertisement fraud and online commerce fraud, by combining plurality of hardware and software level data to distinguish genuine human actions from bot-initiated or manipulated activity. Unlike conventional approaches that rely solely on software identifiers, this system also analyses multi-layered data in real-time through various hardware touchpoints like device sensors, biometrics and connectivity signals. The fraud detection engine builds unique device/user behavioural profiles and calculates probabilistic scores by correlating data with pre-defined baselines, cross-device mapping and digital fingerprinting techniques.
The system's real-time design employs supervised & unsupervised machine learning and intelligent algorithms to adapt to the continuously evolving fraud patterns. It also analyses data from third-party connected devices (such as IoT, smart wearables, connected TVs, etc.) which are assigned unique identities and communicate via wireless protocols. By correlating this data with sensor-based indicators such as gyroscope, accelerometer data, touch interactions and other user device signals, the system strengthens cross-device fraud detection and enables blocking of fraudulent publishers/devices in real-time. This significantly reduces cost leakages and optimises campaign efficiencies at scale across a plurality of connected devices.
This marks the 16th patent granted to Affle.
The inventors of this patent include Anuj Khanna Sohum, Charles Yong and Anurag Singh.