[HTML][HTML] An approach to detect user behaviour anomalies within identity federations
Abstract User and Entity Behaviour Analytics (UEBA) mechanisms rely on statistical
techniques and Machine Learning to determine when a significant deviation from patterns or …
techniques and Machine Learning to determine when a significant deviation from patterns or …
Passphrase and keystroke dynamics authentication: Usable security
B Bhana, S Flowerday - Computers & Security, 2020 - Elsevier
It was found that employees spend a total of 2.25 days within 60 days on password-related
activities. The time consumed by this is unproductive and has a negative impact on usability …
activities. The time consumed by this is unproductive and has a negative impact on usability …
Identity management for Internet of Things: Concepts, challenges and opportunities
The number of connected devices is growing exponentially, fueling the rise of diverse new
Internet of Things (IoT) applications. While the benefits of IoT for society are undeniable, the …
Internet of Things (IoT) applications. While the benefits of IoT for society are undeniable, the …
Identification of trusted interactive behavior based on mouse behavior considering web User's emotions
Q Yi, S Xiong, B Wang, S Yi - International Journal of Industrial Ergonomics, 2020 - Elsevier
Under existing network security technology, it is still possible for hackers to impersonate
legitimate users and invade a system for malicious destruction. Therefore, this study …
legitimate users and invade a system for malicious destruction. Therefore, this study …
[PDF][PDF] Applying clustering to predict attackers trace in deceptive ecosystem by harmonizing multiple decoys interactions logs
Bluff and truth are major pillars of deception technology. Deception technology majorly relies
on decoygenerated data and looks for any behavior deviation to flag that interaction as an …
on decoygenerated data and looks for any behavior deviation to flag that interaction as an …
Unsupervised multi-stage attack detection framework without details on single-stage attacks
Majority of network attacks currently consist of sophisticated multi-stage attacks, which break
down network attacks into several single-stage attacks. The early multi-stage attack …
down network attacks into several single-stage attacks. The early multi-stage attack …
MBBFAuth: Multimodal Behavioral Biometrics Fusion for Continuous Authentication on Non-Portable Devices
J Li, Q Yi, MK Lim, S Yi, P Zhu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Continuous authentication based on behavioral biometrics is effective and crucial as user
behaviors are not easily copied. However, relying solely on one behavioral biometric limits …
behaviors are not easily copied. However, relying solely on one behavioral biometric limits …
Holistic authentication framework for virtual agents; UK banking industry
HH Hettiarachchige, H Jahankhani - Challenges in the IoT and Smart …, 2021 - Springer
The exponential growth and advancements of information technology and artificial
intelligence significantly enhance the capabilities of virtual agents. This creates …
intelligence significantly enhance the capabilities of virtual agents. This creates …
CanCal: Towards Real-time and Lightweight Ransomware Detection and Response in Industrial Environments
Ransomware attacks have emerged as one of the most significant cybersecurity threats.
Despite numerous proposed detection and defense methods, existing approaches face two …
Despite numerous proposed detection and defense methods, existing approaches face two …
Leveraging machine learning techniques to identify deceptive decoy documents associated with targeted email attacks
Detecting and preventing targeted email attacks is a long-standing challenge in
cybersecurity research and practice. A typical targeted email attack capitalizes on a …
cybersecurity research and practice. A typical targeted email attack capitalizes on a …