ABSTRACT The Internet of Things (IoT) is a relatively new technology that has piqued
academics' and business information systems' attention in recent years. The Internet of …

Abstract Machine learning techniques are a set of mathematical models to solve high non-
linearity problems of different topics: prediction, classification, data association, data …

Internet of Things (IoT) in military settings generally consists of a diverse range of Internet-
connected devices and nodes (eg, medical devices and wearable combat uniforms). These …

We have utilized two distinct models to identify the obscure or new sort of malware in this
paper. GoogleNet and ResNet models are researched and tried which belong to two …

Malware detection plays a crucial role in computer security. Recent researches mainly use
machine learning based methods heavily relying on domain knowledge for manually …

Protection of confidential data from being leaked to the public is a growing concern among
organisations and individuals. Traditionally, confidentiality of data has been preserved using …

We introduce a novel malware detection algorithm based on the analysis of graphs
constructed from dynamically collected instruction traces of the target executable. These …

The influence of Deep Learning on image identification and natural language processing
has attracted enormous attention globally. The convolution neural network that can learn …

Malware classification using machine learning algorithms is a difficult task, in part due to the
absence of strong natural features in raw executable binary files. Byte n-grams previously …

Malware analysis and detection techniques have been evolving during the last decade as a
reflection to development of different malware techniques to evade network-based and host …