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Phishing and Advanced Persistent Threats

Journal of Mathematical & Computer Applications, 2022
The paper addresses one of the techniques mor used by Advanced Persistent Threats attacks, phishing. The paper demonstrates the complexity of the technique, explains how attacks can be carried out, and presents defense techniques, and strategies against phishing attacks.
Pedro Ramos Brandao   +2 more
openaire   +1 more source

Advanced persistent threats: Behind the scenes

2016 Annual Conference on Information Science and Systems (CISS), 2016
Advanced persistent threats (APTs) pose a significant risk to nearly every infrastructure. Due to the sophistication of these attacks, they are able to bypass existing security systems and largely infiltrate the target network. The prevention and detection of APT campaigns is also challenging, because of the fact that the attackers constantly change ...
Martin Ussath   +3 more
openaire   +1 more source

A Game-Theoretic Method for Defending Against Advanced Persistent Threats in Cyber Systems

IEEE Transactions on Information Forensics and Security, 2023
Advanced persistent threats (APTs) are one of today’s major threats to cyber security. Highly determined attackers along with novel and evasive exfiltration techniques mean APT attacks elude most intrusion detection and prevention systems. The result has
Lefeng Zhang   +4 more
semanticscholar   +1 more source

Advanced Persistent Threats - detection and defense

2015 38th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), 2015
The term “Advanced Persistent Threat” refers to a well-organized, malicious group of people who launch stealthy attacks against computer systems of specific targets, such as governments, companies or military. The attacks themselves are long-lasting, difficult to expose and often use very advanced hacking techniques.
J. Vukalovic, Damir Delija
openaire   +1 more source

APT-LLM: Embedding-Based Anomaly Detection of Cyber Advanced Persistent Threats Using Large Language Models

International Symposium on Digital Forensics and Security
Advanced Persistent Threats (APTs) pose a ma-jor cybersecurity challenge due to their stealth and ability to mimic normal system behavior, making detection particularly difficult in highly imbalanced datasets.
Sidahmed Benabderrahmane   +3 more
semanticscholar   +1 more source

Special Issue on Advanced Persistent Threat

Future Generation Computer Systems, 2018
Abstract Recently, a new type of attack called Advanced Persistent Threat (APT) headline the news frequently. Different from other type of attacks, APT often has specific targets given sufficient fund support, and the attack can exist for a long period of time without being discovered.
Jiageng Chen   +3 more
openaire   +1 more source

Anatomy of an advanced persistent threat

Network Security, 2015
Often when a business is the subject of a hacking attack, emotions run high. The knee jerk reaction is one that comes from an emotional place - 'how could someone do this to me?' or 'who is responsible?'. And ultimately, the organisation wants the infiltrator out. However, once the background to nation-state hacking is understood and how these types of
openaire   +1 more source

Advanced Persistent Threats in Autonomous Driving

ACM SIGMETRICS Performance Evaluation Review, 2020
In this paper, we consider the problem of detecting performance related advanced persistent threats on a system of connected automated vehicles (CAVs) possibly mixed with connected, but manually driven vehicles (CMVs), operating over an urban area or highway and its feeder roads.
openaire   +1 more source

AEKG4APT: An AI-Enhanced Knowledge Graph for Advanced Persistent Threats with Large Language Model Analysis

ACM Transactions on Intelligent Systems and Technology
This paper introduces AEKG4APT, an APT Knowledge Graph (KG) enhanced by Large Language Models (LLMs), as a way to deal with the cybersecurity problems caused by Advanced Persistent Threats (APTs).
Yinghai Zhou   +7 more
semanticscholar   +1 more source

Analyzing Advanced Persistent Threats (APTs) Using Passive Honeypot Sensors and Self-Organizing Maps

2025 International Conference on Emerging Smart Computing and Informatics (ESCI)
This paper explores the implementation of passive honeypot sensors for detecting Advanced Persistent Threats (APTs) within IT infrastructures. APTs pose significant risks to government entities, public administrations, and corporations due to their ...
Sandeep Malipeddi
semanticscholar   +1 more source

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