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New ORACLE framework anticipates smartphone scams from app usage data

By PulseAugur Editorial · [1 sources] ·

Researchers have developed ORACLE, a novel agentic framework designed to detect smartphone scams by analyzing streaming app usage trajectories. This system aims to anticipate fraudulent intent before it becomes explicit, even with incomplete evidence. ORACLE utilizes a self-evolving context manager to consolidate interaction data over time and an on-policy self-distillation scheme to improve the recognition of emerging fraud patterns from partial data, leading to more timely warnings and fewer false alerts. AI

IMPACT This framework could significantly improve the detection of evolving online scams, protecting users by providing earlier warnings.

RANK_REASON This is a research paper detailing a new framework for scam anticipation. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.LG →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New ORACLE framework anticipates smartphone scams from app usage data

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This is a research paper detailing a new framework for scam anticipation. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.LG TIER_1 English(EN) · Wenbo Gao, Songbai Tan, Zhongan Wang, Fei Shen, Gang Xu, Huiping Zhuang, Yunyun Yang, Ming Li, Xiaofeng Zhu ·

    ORACLE: Anticipating Scams from Partial Trajectories in Streaming App Usage

    arXiv:2605.16363v2 Announce Type: replace Abstract: Smartphone scams are increasingly prevalent and typically manifest as multi-stage, cross-application processes with gradually emerging intent. Effective intervention thus requires anticipating scams before the intent becomes exp…

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