BTH: Behavior-Based Structured Threat Hunting Framework to Analyze and Detect Advanced Adversaries

نویسندگان

چکیده

Organizations of every size and industry are facing a new normal. Adversaries have become more sophisticated persistent than ever before. Every network is never-ending onslaughts. Yet many organizations continue to rely on signature-based reactive threat detection mitigation solutions as the primary line defense against new-age, cutting-edge attacks. Even conventional attacks can bypass such security solutions. This means legacy protection leave organization’s data vulnerable damage, destruction, theft. Adversarial like ocean waves: they very keep coming attack campaigns. Sometimes waves, in our case, attacks, look same, where indicators compromise (IoCs) effectively detect while sometimes, waves or change different, especially over while. If somehow defenders recognize what making those conditions, then detecting threats longer-lasting effect success. study focuses behavior habits attackers that provide better long-lasting results when matching adversarial profiles instead using just IoCs. The paper presents unique framework for behavior-based structured hunting deliver rapid, consistent remediation emerging malware systems networks.

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ژورنال

عنوان ژورنال: Electronics

سال: 2022

ISSN: ['2079-9292']

DOI: https://doi.org/10.3390/electronics11192992