GuardFS: A file system for integrated detection and mitigation of linux-based ransomware
Although ransomware has received broad attention in media and research, this evolving
threat vector still poses a systematic threat. Related literature has explored their detection …
threat vector still poses a systematic threat. Related literature has explored their detection …
Rl and fingerprinting to select moving target defense mechanisms for zero-day attacks in iot
Moving Target Defense (MTD) is a promising approach to mitigate attacks by dynamically
altering target attack surfaces. Still, selecting suitable MTD techniques for zero-day attacks is …
altering target attack surfaces. Still, selecting suitable MTD techniques for zero-day attacks is …
MTFS: a Moving Target Defense-Enabled File System for Malware Mitigation
Ransomware has remained one of the most notorious threats in the cybersecurity field, for
which Moving Target Defense (MTD) has been proposed as a novel defense paradigm …
which Moving Target Defense (MTD) has been proposed as a novel defense paradigm …
CyberForce: A Federated Reinforcement Learning Framework for Malware Mitigation
The expansion of the Internet-of-Things (IoT) paradigm is inevitable, but vulnerabilities of IoT
devices to malware incidents have become an increasing concern. Recent research has …
devices to malware incidents have become an increasing concern. Recent research has …
FeDef: A Federated Defense Framework Using Cooperative Moving Target Defense
With the growing concerns about cybersattacks on IoT devices, many different cybersecurity
solutions have been introduced. Among them, the Moving Target Defense (MTD) paradigm …
solutions have been introduced. Among them, the Moving Target Defense (MTD) paradigm …
Moving Target Defense Strategy Selection against Malware in Resource-Constrained Devices
Internet-of-Things (IoT) devices have become critical assets to be protected due to increased
adoption for emerging use cases. As such, these devices are confronted with a myriad of …
adoption for emerging use cases. As such, these devices are confronted with a myriad of …
AI-powered Ransomware to Optimize its Impact on IoT Spectrum Sensors
J Lüchinger - 2023 - zora.uzh.ch
This work aims to investigate the feasibility of exploiting reinforcement learning (RL) to
improve the impact of ransomware on a target device while evading dynamic detection …
improve the impact of ransomware on a target device while evading dynamic detection …
MalXCap: A Method for Malware Capability Extraction
In the present cyber landscape, the sophistication level of malware attacks is rising steadily.
Advanced Persistent Threats (APT) and other sophisticated attacks employ complex and …
Advanced Persistent Threats (APT) and other sophisticated attacks employ complex and …
Check for updates MalXCap: A Method for Malware Capability Extraction
In the present cyber landscape, the sophistication level of malware attacks is rising steadily.
Advanced Persistent Threats (APT) and other sophisticated attacks employ complex and …
Advanced Persistent Threats (APT) and other sophisticated attacks employ complex and …
Federated Reinforcement Learning for Private and Collaborative Selection of Moving Target Defense Mechanisms for IoT Device Security
J Kreischer - 2023 - zora.uzh.ch
The Internet of Things (IoT) has grown exponentially in recent years and it is predicted that
the number of devices will double again to 30 billion by 2030 [24]. At the same time, the …
the number of devices will double again to 30 billion by 2030 [24]. At the same time, the …