Hypervisor-based Intrusion Detection

SHADuDT: Secure hypervisor-based anomaly detection using danger theory

Intrusion Detection based upon learning methods is an attractive approach in research community. These researches have two critical concerns: secure information gathering and accurate detection method. Here we used system calls together with their arguments as a suitable pattern for describing behavior of each process. In security applications, these patterns must be collected safely, so we pro...

A Neuro Fuzzy Based Intrusion Detection System for a Cloud Data Center Using Adaptive Learning

With its continuous improvements, the cloud computing system leaves an open door for malicious activities. This promotes the significance of constructing a malware action detection component to discover the anomalies in the virtual environment. Besides, the traditional intrusion detection system does not suit for the cloud environment. So, the proposed scheme develops an anomaly detection syste...

HInjector: Injecting Hypercall Attacks for Evaluating VMI-based Intrusion Detection Systems

Cloud Security Challenges

As more and more industries are moving towards Cloud Computing, with tremendous data being generated every hour, the need of the hour is not just 24X7 availability but also security. In this paper we shall discuss security concerns in Cloud Computing and shall also suggest some measures to improve security. Keywords— Cloud Computing, Hypervisor, Intrusion Detection.

Lightweight Intrusion Detection for Resource-Constrained Embedded Control Systems

Securing embedded control systems presents a unique challenge. In addition to the resource restrictions inherent to embedded devices, embedded control systems must accommodate strict, non-negotiable timing requirements, and their massive scale greatly increases other costs such as power consumption. These constraints render conventional host-based intrusion detection – using a hypervisor to cre...