Stress, burnout, and security fatigue in cybersecurity: A human factors problem
C Nobles - HOLISTICA–Journal of Business and Public …, 2022 - sciendo.com
Stress, burnout, and security fatigue continue as slight destroyers of strong cybersecurity
and significant human factors concerns. The persistence of these human performance …
and significant human factors concerns. The persistence of these human performance …
Deepcase: Semi-supervised contextual analysis of security events
Security monitoring systems detect potentially malicious activities in IT infrastructures, by
either looking for known signatures or for anomalous behaviors. Security operators …
either looking for known signatures or for anomalous behaviors. Security operators …
Combat security alert fatigue with ai-assisted techniques
The main challenge for security information and event management (SIEM) is to find critical
security incidents among a huge number of false alerts generated from separate security …
security incidents among a huge number of false alerts generated from separate security …
Breaking alert fatigue: Ai-assisted siem framework for effective incident response
Contemporary security information and event management (SIEM) solutions struggle to
identify critical security incidents effectively due to the overwhelming number of false alerts …
identify critical security incidents effectively due to the overwhelming number of false alerts …
Threat alert prioritization using isolation forest and stacked auto encoder with day-forward-chaining analysis
Security Incident and Event Manager (SIEM) is a security management approach designed
to identify possible threats within a real-time enterprise environment. The main challenge for …
to identify possible threats within a real-time enterprise environment. The main challenge for …
Ai-assisted security alert data analysis with imbalanced learning methods
Intrusion analysis is essential for cybersecurity, but oftentimes, the overwhelming number of
false alerts issued by security appliances can prove to be a considerable hurdle. Machine …
false alerts issued by security appliances can prove to be a considerable hurdle. Machine …
Combating alert fatigue with AlertPro: Context-aware alert prioritization using reinforcement learning for multi-step attack detection
X Wang, X Yang, X Liang, X Zhang, W Zhang… - Computers & …, 2024 - Elsevier
Alert fatigue problems can have serious consequences for the enterprise security. When
analysts become overwhelmed by the sheer number of alerts, high-risk alerts may go …
analysts become overwhelmed by the sheer number of alerts, high-risk alerts may go …
A machine learning approach to detection of critical alerts from imbalanced multi-appliance threat alert logs
The extraordinary number of alerts generated by network intrusion detection systems (NIDS)
can desensitize security analysts tasked with incident response. Security information and …
can desensitize security analysts tasked with incident response. Security information and …
An Adaptive Heterogeneous Credit Card Fraud Detection Model Based on Deep Reinforcement Training Subset Selection
K Zhu, N Zhang, W Ding, C Jiang - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Heterogeneous fraud detection is an important means of credit card security assurance,
which can utilize historical transaction records in a source and target domain to build an …
which can utilize historical transaction records in a source and target domain to build an …
Security-alert screening with oversampling based on conditional generative adversarial networks
Imbalanced class distribution can cause information loss and missed/false alarms for deep
learning and machine-learning algorithms. The detection performance of traditional intrusion …
learning and machine-learning algorithms. The detection performance of traditional intrusion …