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Blockchain-Enabled Intrusion Detection and Prevention System of APTs Within Zero Trust Architecture
In a world where organisations are embracing new IT working models such as Bring Your Own Device (BYOD) and remote working, the traditional mindset of defending the network perimeter is no longer sufficient.
Lampis Alevizos +4 more
doaj +1 more source
As the world becomes digitized and connected, cyberattacks and security issues have been steadily increasing. In particular, advanced persistent threats (APTs) are actors who perform various complex attacks over the long term to achieve their purpose ...
Ji-Wook Jung, Seok-Won Lee
doaj +1 more source
A Decade-long Landscape of Advanced Persistent Threats: Longitudinal Analysis and Global Trends [PDF]
An advanced persistent threat (APT) refers to a covert and long-term cyberattack, typically conducted by state-sponsored actors, targeting critical sectors and often remaining undetected for long periods.
Shakhzod Yuldoshkhujaev +4 more
semanticscholar +1 more source
Security Evaluation of the Cyber Networks Under Advanced Persistent Threats
Advanced persistent threats (APTs) pose a grave threat to cyberspace, because they deactivate all the conventional cyber defense mechanisms. This paper addresses the issue of evaluating the security of the cyber networks under APTs.
Lu-Xing Yang +3 more
doaj +1 more source
Due to the ever increasing interdependency across a variety of diverse software and hardware components in information and communications technology (ICT) provisioning, supply chain vulnerabilities (SCVs) targeting such dependencies have evolved as a ...
Zhuoran Tan +4 more
semanticscholar +1 more source
Ontology Generation of Advanced Persistent Threats and their Automated Analysis
Advance Persistent Threats (APTs) are a continuous hacking process during which the perpetrator changes signatures and uses different malware to launch an attack.
Zafar Iqbal, Zahid Anwar
doaj +1 more source
Advanced Persistent Threats (APT) Attribution Using Deep Reinforcement Learning [PDF]
This article investigates the application of Deep Reinforcement Learning (DRL) for attributing malware to specific Advanced Persistent Threat (APT) groups through detailed behavioural analysis. By analysing over 3,500 malware samples from 12 distinct APT
A. Basnet +3 more
semanticscholar +1 more source
Targeted cyber attacks, which today are known as Advanced Persistent Threats (APTs), use low and slow patterns to bypass intrusion detection and alert correlation systems.
Amir Mohammadzade Lajevardi +1 more
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On Multi-Phase and Multi-Stage Game-Theoretic Modeling of Advanced Persistent Threats
Advanced persistent threats (APT) are considered as a significant security threat today. Despite their diversity in nature and details, a common skeleton and sequence of phases can be identified that these attacks follow (in similar ways), which admits a
Quanyan Zhu, Stefan Rass
doaj +1 more source
As cyber threats become increasingly sophisticated, human factors remain one of the most exploited vulnerabilities in security breaches, particularly in the context of Advanced Persistent Threats (APTs).
Matthew Onuh Ijiga +3 more
semanticscholar +1 more source

