This paper presents a reputation-based threat mitigation framework that defends potential
security threats in electroencephalogram (EEG) signal classification during model …

Existing security risk evaluation approaches (eg, asset-based) do not consider specific
security requirements of individual cloud computing clients in the security risk evaluation. In …

In this paper, we improve the robustness of Machine Learning (ML) classifiers against
training-time attacks by linking the risk of training data being tampered with to the …

The advent of social networks and Internet-of-Things has resulted in unprecedented
capability of collecting, sharing and analyzing massive amounts of data. From a security …

Cloud computing is widely believed to be the future of computing. It has grown from being a
promising idea to one of the fastest research and development paradigms of the computing …

Cloud computing proposes a paradigm shift where resources and services are allocated,
provisioned, and accessed at runtime and on demand. New business opportunities emerge …

Many IT-based organisations have shown an interest in moving their business operation into
a cloud-enabled system as they noticed that cloud-oriented gives better revenue and return …

The risk of unauthorized access to confidential data is a major problem in cloud computing.
In previous work, the notion of risk patterns was introduced to capture configurations of cloud …

Despite its immense benefits in terms of flexibility, resource consumption, and simplified
management, cloud computing raises several concerns due to lack of trust and …

Conventional security risk assessment approaches for cloud infrastructures do not explicitly
consider risk with respect to specific threats. This is a challenge for a cloud provider because …