[HTML][HTML] A graph empowered insider threat detection framework based on daily activities
While threats from outsiders are easier to alleviate, effective ways seldom exist to handle
threats from insiders. The key to managing insider threats lies in engineering behavioral …
threats from insiders. The key to managing insider threats lies in engineering behavioral …
Temporal feature aggregation with attention for insider threat detection from activity logs
Nowadays, insider attacks are emerging as one of the top cybersecurity threats. However,
the detection of insider threats is a more arduous task for many reasons. A significant cause …
the detection of insider threats is a more arduous task for many reasons. A significant cause …
Graph intelligence enhanced bi-channel insider threat detection
For an organization, insider intrusion generally poses far more detrimental threats than
outsider intrusion. Traditionally, insider threat is detected by analyzing logged user …
outsider intrusion. Traditionally, insider threat is detected by analyzing logged user …
Insider Threat Detection: A Review
In the cyber world, insider threats significantly challenge organizational security. These
threats originate from malicious or negligent employees with authorized access, making …
threats originate from malicious or negligent employees with authorized access, making …
Insider threat detection using supervised machine learning algorithms
Insider threats refer to abnormal actions taken by individuals with privileged access,
compromising system data's confidentiality, integrity, and availability. They pose significant …
compromising system data's confidentiality, integrity, and availability. They pose significant …
Supervised Learning for Insider Threat Detection
P Manoharan - 2024 - vuir.vu.edu.au
Cyberattacks cause havoc in the digital world, but the most significant threat might be from
those who appear to be trustworthy: insiders. Insider threats pose a significant and evolving …
those who appear to be trustworthy: insiders. Insider threats pose a significant and evolving …
A proposed approach to analyze insider threat detection using emails
A Mittal, U Garg - 2022 3rd International Conference on …, 2022 - ieeexplore.ieee.org
As we know, now a days everything is more dependent on technology, also all the private
and government organizations are using technology for accomplishing each and every task …
and government organizations are using technology for accomplishing each and every task …
Optimising Insider Threat Prediction: Exploring BiLSTM Networks and Sequential Features
Insider threats pose a critical risk to organisations, impacting their data, processes,
resources, and overall security. Such significant risks arise from individuals with authorised …
resources, and overall security. Such significant risks arise from individuals with authorised …
Optimising Insider Threat Prediction: Exploring BiLSTM Networks and Sequential Features: Optimising Insider Threat Prediction...: P. Manoharan et al.
P Manoharan, W Hong, J Yin, H Wang… - Data Science & …, 2024 - search.ebscohost.com
Insider threats pose a critical risk to organisations, impacting their data, processes,
resources, and overall security. Such significant risks arise from individuals with authorised …
resources, and overall security. Such significant risks arise from individuals with authorised …
[HTML][HTML] Seismic reflection analysis of AETA electromagnetic signals
Z Bao, S Yong, X Wang, C Yang, J Xie, C He - Applied Sciences, 2021 - mdpi.com
Acoustic and electromagnetics to artificial intelligence (AETA) is a system used to predict
seismic events through monitoring of electromagnetic and geoacoustic signals. It is widely …
seismic events through monitoring of electromagnetic and geoacoustic signals. It is widely …