Android Malware Detection Using Parallel Machine Learning Classifiers

Mobile malware has continued to grow at an alarming rate despite on-going mitigation efforts. This has been much more prevalent on Android due to being an open platform that is rapidly overtaking other competing platforms in the mobile smart devices market. Recently, a new generation of Android malware families has emerged with advanced evasion capabilities which make them much more difficult to detect using conventional methods. This paper proposes and investigates a parallel machine learning based classification approach for early detection of Android malware. Using real malware samples and benign applications, a composite classification model is developed from parallel combination of heterogeneous classifiers. The empirical evaluation of the model under different combination schemes demonstrates its efficacy and potential to improve detection accuracy. More importantly, by utilizing several classifiers with diverse characteristics, their strengths can be harnessed not only for enhanced Android malware detection but also quicker white box analysis by means of the more interpretable constituent classifiers.

Belfast Soundwalks: Experiences in Sound and Place through Locative Media

This article outlines the ongoing development of a locative smartphone app for iPhone and Android phones entitled The Belfast Soundwalks Project. Drawing upon a method known as soundwalking, the aim of this app is to engage the public in sonic art through the creation of up to ten soundwalks within the city of Belfast. This paper discusses the use of GPS enabled mobile devices in the creation of soundwalks in other cities. The authors identify various strategies for articulating an experience of listening in place as mediated by mobile technologies. The project aims to provide a platform for multiple artists to develop site-specific sound works which highlight the relationship between sound, place and community. The development of the app and the app interface are discussed, as are the methods employed to test and evaluate the project.

Development of an app to support learning in A-level maths

This project involved producing an app for smart devices to enable modernised learning for A-level maths students. Research in a stakeholder school showed that 94% of pupils surveyed within the upper-secondary level owned a smartphone and most owned a tablet also, emphasising the opportunity for using apps to support learning. The app was developed using iBuildApp, an online app-creation programme which requires no programming. Past exam questions and solutions, notes and video tutorials were included and the topic was vectors, identified by teachers as problematic. Pupils generally found the app easy to use and wanted further development. The videos were popular despite this not ranking highly as a preferred method of revision previously. Teachers were happy for pupils to use the app to supplement their learning, both in the classroom and outside.

Indoor and Outdoor monitoring of photocatalytic activity using a mobile phone app. and a photocatalytic activity indicator ink (paii)

A resazurin (Rz) based photocatalyst activity indicator ink (paii) is used to test the activity of commercial self-cleaning materials. The semiconductor photocatalyst driven colour change of the ink is monitored indoors and outside using a simple mobile phone application that measures the RGB colour components of the digital image of the paii-covered, irradiated sample in real time. The results correlate directly with those generated using a traditional, lab-bound method of analysis (UV–vis spectrophotometry).

Vision and deaf awareness training is it app.ropriate?

Title
Visual and deaf awareness training is it app.ropriate
Purpose
Some of our most vulnerable patients have a sensory deficit. An app which focused on patients with a vision and/or hearing loss was developed for healthcare students. The intent was to embed the core values necessary for students to provide appropriate care for patients with a sensory deficit.
Setting
Queen’s University Belfast, School of Nursing and Midwifery.
Methods
Stage 1
A review of current sensory awareness training in the United Kingdom
Stage 2
Application for funding
Stage 3
Development of a teaching tool template with the essential aspects required for sensory awareness training
Stage 4
Collaboration with others: Royal National Institute for the Blind, Action on Hearing Loss, Computer technician.
Stage 5
Production and transfer of multimedia outputs onto a software application system.
Stage 6
App Piloted with a sample of lecturers (n=5), undergraduate nursing students (n=20), service users (n=5)
Stage 7
Editing
Stage 8
App made available to all undergraduate nursing students
Stage 9
App evaluation (n=300)



Results
Overall nursing students positively evaluated the app, 100% of students rated the app between good and excellent. Qualitative evidence from service users and practice partnerships was extremely positive:
"At last I feel listened too in respect to my hearing loss and empowered. I don't feel like I am complaining I am actually helping to create something which should benefit staff and all of us with a hearing or vision loss". Patient
“Very insightful into the lives of those with a disability will be so useful in practice as an aid to jog my memory". 1st year nursing student
Conclusion
It is hoped that further evaluation and implementation of the app will show an improved quality to the care delivered to those with a sensory deficit. We believe that by working in partnership with service users we have helped to create an innovative tool that benefits both staff and patients.
Financial disclosure Yes
Funding of £2700 was awarded in 2014 through the Martha McMenamin Memorial Northern Ireland Scholarship.

High accuracy android malware detection using ensemble learning

With over 50 billion downloads and more than 1.3 million apps in Google’s official market, Android has continued to gain popularity amongst smartphone users worldwide. At the same time there has been a rise in malware targeting the platform, with more recent strains employing highly sophisticated detection avoidance techniques. As traditional signature based methods become less potent in detecting unknown malware, alternatives are needed for timely zero-day discovery. Thus this paper proposes an approach that utilizes ensemble learning for Android malware detection. It combines advantages of static analysis with the efficiency and performance of ensemble machine learning to improve Android malware detection accuracy. The machine learning models are built using a large repository of malware samples and benign apps from a leading antivirus vendor. Experimental results and analysis presented shows that the proposed method which uses a large feature space to leverage the power of ensemble learning is capable of 97.3 % to 99% detection accuracy with very low false positive rates.

Android Malware Detection: an Eigenspace Analysis Approach

The battle to mitigate Android malware has become more critical with the emergence of new strains incorporating increasingly sophisticated evasion techniques, in turn necessitating more advanced detection capabilities. Hence, in this paper we propose and evaluate a machine learning based approach based on eigenspace analysis for Android malware detection using features derived from static analysis characterization of Android applications. Empirical evaluation with a dataset of real malware and benign samples show that detection rate of over 96% with a very low false positive rate is achievable using the proposed method.

An evaluation of the Socrative (personal response system) app for increasing student engagement and learning in an undergraduate psychology curriculum.

Personal response systems using hardware such as 'clickers' have been around for some time, however their use is often restricted to multiple choice questions (MCQs) and they are therefore used as a summative assessment tool for the individual student. More recent innovations such as 'Socrative' have removed the need for specialist hardware, instead utilising web-based technology and devices common to students, such as smartphones, tablets and laptops. While improving the potential for use in larger classrooms, this also creates the opportunity to pose more engaging open-response questions to students who can 'text in' their thoughts on questions posed in class. This poster will present two applications of the Socrative system in an undergraduate psychology curriculum which aimed to encourage interactive engagement with course content using real-time student responses and lecturer feedback. Data is currently being collected and result will be presented at the conference.
The first application used Socrative to pose MCQs at the end of two modules (a level one Statistics module and level two Individual Differences Psychology module, class size N≈100), with the intention of helping students assess their knowledge of the course. They were asked to rate their self-perceived knowledge of the course on a five-point Likert scale before and after completing the MCQs, as well as their views on the value of the revision session and any issues that had with using the app. The online MCQs remained open between the lecture and the exam, allowing students to revisit the questions at any time during their revision.
This poster will present data regarding the usefulness of the revision MCQs, the metacognitive effect of the MCQs on student's judgements of learning (pre vs post MCQ testing), as well as student engagement with the MCQs between the revision session and the examination. Student opinions on the use of the Socrative system in class will also be discussed.
The second application used Socrative to facilitate a flipped classroom lecture on a level two 'Conceptual Issues in Psychology' module, class size N≈100). The content of this module requires students to think critically about historical and contemporary conceptual issues in psychology and the philosophy of science. Students traditionally struggle with this module due to the emphasis on critical thinking skills, rather than simply the retention of concrete knowledge. To prepare students for the written examination, a flipped classroom lecture was held at the end of the semester. Students were asked to revise their knowledge of a particular area of Psychology by assigned reading, and were told that the flipped lecture would involve them thinking critically about the conceptual issues found in this area. They were informed that questions would be posed by the lecturer in class, and that they would be asked to post their thoughts using the Socrative app for a class discussion. The level of preparation students engaged in for the flipped lecture was measured, as well as qualitative opinions on the usefulness of the session. This poster will discuss the level of student engagement with the flipped lecture, both in terms of preparation for the lecture, and engagement with questions posed during the lecture, as well as the lecturer's experience in facilitating the flipped classroom using the Socrative platform.

O sistema dois-hidrido de levedura para confirmação da sinalização de APP Tipo-Noth

Inúmeras potenciais funções foram sugeridas para a APP (Proteína Precursora de Amilóide de Alzheimer), contudo, fisiologicamente, a função precisa da APP não foi ainda desvendada. A APP tem características consistentes com a função de molécula-receptora, capaz de reconhecer sinais extracelulares. Também relevante para este trabalho, é o facto de que a sinalização através de RIP (Proteólise Intramembranar Regulada) tem consequências na expressão génica, como no caso da sinalização tipo-Notch. Tal como a proteína Notch, a APP é processada resultando num fragmento C-terminal designado por AICD (Domínio Intracelular da APP). Neste trabalho é focado o papel importante na sinalização nuclear desempenhado pelo fragmento AICD, especificamente através da interacção com proteínas adaptadoras, promovendo a transcrição. Com o objectivo de contribuir para uma melhor compreensão da base molecular da DA (Doença de Alzheimer), torna-se importante investigar as vias de localização nuclear do AICD e o seu envolvimento na transcrição génica, possivelmente afectando proteínas até agora não associadas à DA. Por estes motivos é fundamental a identificação de novas proteínas que interajam com a APP. Um rastreio foi efectuado, utilizando o sistema Dois-Híbrido em Levedura, para identificar interacções específicas do AICD no cérebro humano e, assim, caracterizar o interactoma do AICD. Foi feito o rastreio de aproximadamente 1.1x108 clones de uma biblioteca de cDNA de cérebro humano com o domínio C-terminal da APP com a mutação Y687E, que mimetiza o estado fosforilado. De experiências anteriores deste laboratório sabemos que a tirosina-687 afecta a localização subcelular da APP e é também consensual que a fosforilação é importante nos mecanismos de transdução de sinais, daí a utilização deste mutante parecer apropriada. O rastreio originou 55 clones positivos que foram analisados para identificar proteínas que interagem com a APP. Dois clones são particularmente importantes, a RanBPM e a Transportin-SR2, visto que estão associadas ao transporte de proteínas para o núcleo e confirmam a sinalização nuclear da APP. ABSTRACT: Many putative functions for APP (Alzheimer’s amyloid precursor protein) have been suggested, although the precise physiological function of APP remains to be elucidated. APP has characteristics consistent with it having a role as a receptor, capable of mediating extracellular signals. Also of relevance to the work described here is that RIP (Regulated Intramembrane Proteolysis) signalling can have consequences in gene expression, similar to Notch signalling. Like the latter, APP is processed by RIP resulting in a C-terminal fragment known as AICD. Here we test the hypothesis that the AICD fragment may play an important role in nuclear signalling, specifically by interacting with adaptor proteins potentiating transcription. Therefore, in order to contribute to our understanding of the molecular basis of AD (Alzheimer’s disease) it is important to investigate the pathways of AICD nuclear targeting and its involvement in gene transcription, possibly affecting other proteins hitherto not associated with AD. Thus, it is important to identify AICD binding proteins. A Yeast Two-Hybrid (YTH) screen was performed to identify human brainspecific AICD binding proteins, and thus characterize the AICD interactome. The screen of approximately 1.1 x108 clones from a human brain cDNA library was carried out using the AICD fragment with an Y687E mutation, which mimics phosphorylation on that residue. From previous work carried out in the laboratory we know that tyrosine-687 phosphorylation affects subcellular localization of APP, and it is also recognized that phosphorylation events are important in signal transduction mechanisms, hence the use of this mutant is appropriate. The YTH screen yielded 55 positive clones that were analysed and several novel brain-specific APP binding proteins were identified. Two clones were particularly important, RanBPM and Transportin-SR2, being that they are associated with the nuclear transport of proteins, and support the nuclear signalling for APP.

Expérimentation de l'apprentissage par problèmes (APP) en formation initiale pour développer les compétences professionnelles des enseignants au primaire

Ce mémoire fait état d'un changement de pratique dans la manière de former les futurs enseignants au primaire. Il permet de se familiariser avec l'apprentissage par problèmes (APP) et de comprendre l'intérêt d'utiliser cette méthode d'apprentissage dans une visée de professionnalisation des enseignants (Béchard, 2001, Iglesias, 2002, Lessard, 2005, Galand et Frenay, 2005). S'appuyant sur une méthodologie de recherche-intervention, notre démarche s'est inscrite dans une approche descriptive et compréhensive. Ainsi, cette étude nous a permis d'expérimenter l'APP dans un cours de didactique du français du programme de BEPP de l'Université de Sherbrooke, pour ensuite exposer les difficultés rencontrées et les bénéfices perçus par les étudiants en lien avec l'utilisation de l'APP, particulièrement en ce qui a trait au développement des compétences professionnelles. Les résultats obtenus semblent très prometteurs quant à l'atteinte des objectifs visés.

Android as a cloud ticket validator

Trabalho Final de Mestrado para a obtenção do grau de Mestre em Engenharia Informática e de Computadores

Simulação de plataformas para dispositivos móveis: infraestrutura de simulação sensorial para android

Projeto para obtenção do grau de Mestre em Engenharia Informática e de Computadores

Support System for Rational Use of Electric Energy

This paper presents the system developed to promote the rational use of electric energy among consumers and, thus, increase the energy efficiency. The goal is to provide energy consumers with an application that displays the energy consumption/production profiles, sets up consuming ceilings, defines automatic alerts and alarms, compares anonymously consumers with identical energy usage profiles by region and predicts, in the case of non-residential installations, the expected consumption/production values. The resulting distributed system is organized in two main blocks: front-end and back-end. The front-end includes user interface applications for Android mobile devices and Web browsers. The back-end provides data storage and processing functionalities and is installed in a cloud computing platform - the Google App Engine - which provides a standard Web service interface. This option ensures interoperability, scalability and robustness to the system.

Implementação de plataforma web e android no âmbito da associação Anddvis

Trabalho de Projeto apresentado ao Instituto Superior de Contabilidade e Administração do Porto para a obtenção do grau de Mestre em Marketing Digital, sob orientação do Mestre Paulo Gonçalves