Results 11 to 20 of about 91,857 (287)
Defending Against Advanced Persistent Threats Using Game-Theory. [PDF]
PLoS ONE, 2017 Advanced persistent threats (APT) combine a variety of different attack forms ranging from social engineering to technical exploits. The diversity and usual stealthiness of APT turns them into a central problem of contemporary practical system security ...
Stefan Rass +2 more
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A prospective approach to detect advanced persistent threats: Utilizing hybrid optimization technique [PDF]
Heliyon, 2023 Advanced Persistent Threat (APT) attacks pose significant challenges for AI models in detecting and mitigating sophisticated and highly effective cyber threats. This research introduces a novel concept called Hybrid HHOSSA which is the grouping of Harris
Indra Kumari, Minho Lee
doaj +2 more sources
Expert knowledge and data analysis for detecting advanced persistent threats
Open Mathematics, 2017 Critical Infrastructures in public administration would be compromised by Advanced Persistent Threats (APT) which today constitute one of the most sophisticated ways of stealing information. This paper presents an effective, learning based tool that uses
Ramón-Ángel Fernandez-Diaz +1 more
exaly +3 more sources
Journal of Big DataAdvanced Persistent Threats (APTs) are among the most dangerous cyberattacks due to their stealth, persistence, and ability to evade traditional intrusion detection systems. This study proposes a novel and optimized hybrid ensemble-based machine learning
Nadim Ibrahim +3 more
doaj +2 more sources
AULD: Large Scale Suspicious DNS Activities Detection via Unsupervised Learning in Advanced Persistent Threats [PDF]
Sensors, 2019 In recent years, sensors in the Internet of things have been commonly used in Human’s life. APT (Advanced Persistent Threats) has caused serious damage to network security and the sensors play an important role in the attack process.
Guanghua Yan +3 more
doaj +2 more sources
Robust Federated Learning for Mitigating Advanced Persistent Threats in Cyber-Physical Systems
Applied SciencesMalware triage is essential for the security of cyber-physical systems, particularly against Advanced Persistent Threats (APTs). Proper data for this task, however, are hard to come by, as organizations are often reluctant to share their network data due
Ehsan Hallaji +2 more
doaj +2 more sources
IEEE Open Journal of Vehicular TechnologyThe increasing adoption of autonomous and intelligent vehicles within ground transportation systems faces new security challenges. This shift from human-controlled operations opens up a broader attack surface for malicious players.
Sudhina Kumar G K +3 more
doaj +2 more sources
Unraveled — A semi-synthetic dataset for Advanced Persistent Threats
Computer Networks, 2023 Ankur Chowdhary +2 more
exaly +2 more sources
UNICORN: Runtime Provenance-Based Detector for Advanced Persistent Threats [PDF]
Network and Distributed System Security Symposium, 2020 Advanced Persistent Threats (APTs) are difficult to detect due to their "low-and-slow" attack patterns and frequent use of zero-day exploits. We present UNICORN, an anomaly-based APT detector that effectively leverages data provenance analysis.
Xueyuan Han +4 more
semanticscholar +1 more source
Aerospace, 2023 Cybersecurity plays a relevant role in the new digital age within the aerospace industry. Predictive algorithms are necessary to interconnect complex systems within the cyberspace.
Jorge Bautista-Hernández +1 more
doaj +1 more source