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New SENTINEL architecture detects sophisticated APT attacks on Windows

Researchers have developed SENTINEL, a novel multi-pathway architecture designed to detect sophisticated Living-Off-the-Land (LOTL) attacks on Windows command lines. This system integrates BERT-based semantic encoding, a character-level CNN for handling obfuscation, and inter-command attention to identify multi-stage attack patterns. Tested against a benchmark derived from Volt Typhoon APT campaign data, SENTINEL achieved over 92% accuracy on both standard and obfuscated malicious commands, significantly outperforming standalone BERT models. AI

IMPACT Enhances detection capabilities against advanced persistent threats by leveraging AI for command-line analysis.

RANK_REASON The cluster contains a research paper detailing a new technical approach to a cybersecurity problem. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

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

New SENTINEL architecture detects sophisticated APT attacks on Windows

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The cluster contains a research paper detailing a new technical approach to a cybersecurity problem. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Ahad Bin Islam Shoeb, Kamrul Hasan, Jamal Uddin Tanvin, Liang Hong, Imtiaz Ahmed, Md Arif Billah, Al Amin ·

    SENTINEL: A Multi-Pathway Architecture for Detecting Living-Off-the-Land APT Attacks on Windows Command Lines

    arXiv:2609.14593v1 Announce Type: cross Abstract: Living-Off-the-Land (LOTL) is the dominant evasion technique of Advanced Persistent Threat (APT) actors, exploiting legitimate Windows utilities to conduct malicious operations without deploying custom malware and enabling state-s…