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Chapter and Conference Paper
DroidDissector: A Static and Dynamic Analysis Tool for Android Malware Detection
DroidDissector is an extraction tool for both static and dynamic features. The aim is to provide Android malware researchers and analysts with an integrated tool that can extract all of the most widely used fe...
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Chapter and Conference Paper
Public Private Partnership and Smart City: An Investigation into the Navigation App “Makani”
Today there are several navigation apps, but a dedicated app, Makani, was developed to suit specific needs of Dubai. The aim of this paper is to investigate the navigation app Makani from several perspectives,...
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Book and Conference Proceedings
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Chapter and Conference Paper
A Review of Capsule Networks in Medical Image Analysis
Computer-aided diagnosis technologies are gaining increased focus within the medical field due to their role in assisting physicians in their diagnostic decision-making through the ability to recognise pattern...
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Chapter and Conference Paper
Assessment of Pharmaceutical Patent Novelty with Siamese Neural Networks
Patents in the pharmaceutical field fulfil an important role as they contain details of the final product that is the culmination of years of research and possibly millions of dollars of investment. It is cruc...
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Chapter and Conference Paper
Availability in Openstack: The Bunny that Killed the Cloud
The use of cloud is on the rise and is forecast to keep increasing exponentially in the coming years. Openstack is one of the major contributors to the cloud space and there are lot of providers using Openstac...
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Chapter and Conference Paper
Android Malware Detection Using API Calls: A Comparison of Feature Selection and Machine Learning Models
Android has become a major target for malware attacks due its popularity and ease of distribution of applications. According to a recent study, around 11,000 new malware appear online on daily basis. Machine l...
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Chapter and Conference Paper
Disruptive Innovation: A Dedicated Forecasting Framework
This paper describes the design of a forecasting framework to predict disruptive innovations. First, the nature and characteristics of disruptive innovation are presented, as well as the conditions that enable...
