Mitigating Webshell Attacks through Machine Learning Techniques

Efficient Program Compilation Through Machine Learning Techniques

The wealth of available compiler optimizations leads to the dual problems of finding the best set of optimizations and the best heuristic parameters to tune each optimization. We describe how machine learning techniques, such as logistic regression, can be used to address these problems. We focus on decreasing the compile time for a static commercial compiler, while preserving the execution tim...

Detection of Probe Attacks Using Machine Learning Techniques

In recent years, the number of attacks on the computer networks and its components are getting increasing. To protect from these attacks various Intrusion detection techniques have been used. Intrusion Detection System (IDS) is a system which collects and analyzes the information from the network to identify various attacks made against the components of a network. In this paper we presented a ...

Mitigating jamming attacks in mobile cognitive networks through time hopping

5G wireless networks will support massive connectivity mainly due to device-to-device communications. An enabling technology for device-to-device links is the dynamical spectrum access. The devices, which are equipped with cognitive radios, are to be allowed to reuse spectrum occupied by cellular links. The dynamical spectrum availability makes cognitive users switch between channels. Switching...

Decision Support System for Diabetes Mellitus through Machine Learning Techniques

recently, the diseases of diabetes mellitus have grown into extremely feared problems that can have damaging effects on the health condition of their sufferers globally. In this regard, several machine learning models have been used to predict and classify diabetes types. Nevertheless, most of these models attempted to solve two problems; categorizing patients in terms of diabetic types and for...

Iris recognition through machine learning techniques: A survey