Case Study-Based Approach of Quantum Machine Learning in Cybersecurity: Quantum Support Vector Machine for Malware Classification and Protection

Quantum machine learning (QML) is an emerging field of research that leverages quantum computing to improve the classical machine learning approach to solve complex real world problems. QML has the potential to address cybersecurity related challenges. Considering the novelty and complex architecture of QML, resources are not yet explicitly available that can pave cybersecurity learners to instill efficient knowledge of this emerging technology. In this research, we design and develop QML-based ten learning modules covering various cybersecurity topics by adopting student centering case-study based learning approach. We apply one subtopic of QML on a cybersecurity topic comprised of pre-lab, lab, and post-lab activities towards providing learners with hands-on QML experiences in solving real-world security problems. In order to engage and motivate students in a learning environment that encourages all students to learn, pre-lab offers a brief introduction to both the QML subtopic and cybersecurity problem. In this paper, we utilize quantum support vector machine (QSVM) for malware classification and protection where we use open source Pennylane QML framework on the drebin215 dataset. We demonstrate our QSVM model and achieve an accuracy of 95% in malware classification and protection. We will develop all the modules and introduce them to the cybersecurity community in the coming days

Mobile Application Security Platforms Survey

Nowadays Smartphone and other mobile devices have become incredibly important in every aspect of our life. Because they have practically offered same capabilities as desktop workstations as well as come to be powerful in terms of CPU (Central processing Unit), Storage and installing numerous applications. Therefore, Security is considered as an important factor in wireless communication technologies, particularly in a wireless ad-hoc network and mobile operating systems. Moreover, based on increasing the range of mobile application within variety of platforms, security is regarded as on the most valuable and considerable debate in terms of issues, trustees, reliabilities and accuracy. This paper aims to introduce a consolidated report of thriving security on mobile application platforms and providing knowledge of vital threats to the users and enterprises. Furthermore, in this paper, various techniques as well as methods for security measurements, analysis and prioritization within the peak of mobile platforms will be presented. Additionally, increases understanding and awareness of security on mobile application platforms to avoid detection, forensics and countermeasures used by the operating systems. Finally, this study also discusses security extensions for popular mobile platforms and analysis for a survey within a recent research in the area of mobile platform security

Secure Android Code Helper (Sach): A Tool For Assisting Secure Android Application Development

Mobile devices now store a lot of sensitive data. With many users adapting to the technical advancement of mobile devices, security of the user\u27s sensitive data becomes imperative. Security vulnerabilities in the mobile apps will lead to leakage of user’s sensitive data. The goal of this research is to propose a tool to help programmers create secure Android applications. The tool will warn developers about specific classes or methods that include security vulnerabilities such as data leakage and access control vulnerabilities. The tool analyzes Android source code using two approaches: 1) Parse the source code and XML to report vulnerabilities based on CERT secure coding rules for Android application development and 2) Run FlowDroid on source code, parse the output of FlowDroid and look for device ID, GPS location data being leaked to a log file or through implicit intent. The results from these approaches are combined into reports that inform developers of security vulnerabilities. The proof of concept of the tool has been implemented and tested. Future work includes completing implementation of the tool and running tests on a large number of source codes to evaluate its effectiveness

Secure Android Code Helper (Sach): A Tool For Assisting Secure Android Application Development

Mobile devices now store a lot of sensitive data. With many users adapting to the technical advancement of mobile devices, security of the user\u27s sensitive data becomes imperative. Security vulnerabilities in the mobile apps will lead to leakage of user’s sensitive data. The goal of this research is to propose a tool to help programmers create secure Android applications. The tool will warn developers about specific classes or methods that include security vulnerabilities such as data leakage and access control vulnerabilities. The tool analyzes Android source code using two approaches: 1) Parse the source code and XML to report vulnerabilities based on CERT secure coding rules for Android application development and 2) Run FlowDroid on source code, parse the output of FlowDroid and look for device ID, GPS location data being leaked to a log file or through implicit intent. The results from these approaches are combined into reports that inform developers of security vulnerabilities. The proof of concept of the tool has been implemented and tested. Future work includes completing implementation of the tool and running tests on a large number of source codes to evaluate its effectiveness

Hierarchical workflow management system for life science applications

In modern laboratories, an increasing number of automated stations and instruments are applied as standalone automated systems such as biological high throughput screening systems, chemical parallel reactors etc. At the same time, the mobile robot transportation solution becomes popular with the development of robotic technologies. In this dissertation, a new superordinate control system, called hierarchical workflow management system (HWMS) is presented to manage and to handle both, automated laboratory systems and logistics systems.In modernen Labors werden immer mehr automatisierte Stationen und Instrumente als eigenständige automatisierte Systeme eingesetzt, wie beispielsweise biologische High-Throughput-Screening-Systeme und chemische Parallelreaktoren. Mit der Entwicklung der Robotertechnologien wird gleichzeitig die mobile Robotertransportlösung populär. In der vorliegenden Arbeit wurde ein hierarchisches Verwaltungssystem für Abeitsablauf, welches auch als HWMS bekannt ist, entwickelt. Das neue übergeordnete Kontrollsystem kann sowohl automatisierte Laborsysteme als auch Logistiksysteme verwalten und behandeln

Profile Analysis of Mobile Application Security

ABSTRACT This thesis conducts profile analysis on the mobile application security using peer-review articles that were published from 2010 to 2018. From the analysis, we will identify prolific authors, intuitions, and geographic regions as well as the topics addressed by the articles. The profile analysis will reveal most frequently used research methods, research approaches (quantitative, qualitative and mixed), and theories used to study the field. This thesis reveals that none of the researchers have made significant contributions to the field, and researches are not collaborating to solve their research problems. The profile analysis shows that surveys and experiments are the most utilized research methods, and most researchers studied the field at a higher level, i.e., security was the focus of the research but did not go deeper into various aspects of security such as privacy, security vulnerabilities, and mobile application security best practices

Security of m-learning system : a collective responsibility

Innovation in learning technologies and services is driven by demands from Higher Educational Institutions (HEIs) in order to meet their students’ needs and make knowledge delivery easier. The technology could play a pivotal role in extending the possibilities for teaching, learning, and research in educational institutions. M-learning emerged from this innovation as a result of an unprecedented explosion in the number of mobile devices due to availability and affordability of mobile phones, smartphones and tablets among students. Competition in the mobile device industry is also encouraging developers to be innovative, constantly striving to introduce new features. Consequently, newer sources of risks are being introduced in the mobile computing paradigm at manufacturing level. Similarly, many m-learning promoters and developers focus on developing and delivering learning content and infrastructure for m-learning system without adequate consideration for security of stakeholders’ data, whereas the use of these mobile technologies for learning poses a serious threat to confidentiality, integrity and privacy of those involved in teaching and learning, yet traditional security threats are also evolving. Against this backdrop, the stakeholders in education sector (i.e. education providers, educators, m-learning promoters and developers) should begin to consider the security implications of these devices in modern teaching and learning environments. The purpose of this paper is to identify the m-learning security issues that stakeholders may face, how they are being affected by the security threats, who among is stakeholders are affected or most affected by security issues in m-learning using three Nigeria universities as case studies and what are the responsibilities of the stakeholders in ensuring risk free m-learning

Enhancing mobile learning security

Mobile devices have been playing vital roles in modern day education delivery as students can access or download learning materials on their smartphones and tablets, they can also install educational apps and study anytime, anywhere. The need to provide adequate security for portable devices being used for learning cannot be underestimated. In this paper, we present a mobile security enhancement app, designed and developed for Android smart mobile devices in order to promote security awareness among students. The app can also identify major and the most significant security weaknesses, scan or check for vulnerabilities in m-learning devices and report any security threat

Automatic Security Bug Detection with FindSecurityBugs Plugin

The security threats to mobile application are growing explosively. Mobile app flaws and security defects could open doors for hackers to easily attack mobile apps. Secure software development must be addressed earlier in the development lifecycle rather than fixing the security holes after attacking. Early eliminating against possible security vulnerability will help us increase the security of software and mitigate the consequence of damages of data loss caused by potential malicious attacking. In this paper, we present a static security analysis approach with open source FindSecurityBugs plugin for Android StThe security threats to mobile application are growing explosively. Mobile app flaws and security defects could open doors for hackers to easily attack mobile apps. Secure software development must be addressed earlier in the development lifecycle rather than fixing the security holes after attacking. Early eliminating against possible security vulnThe security threats to mobile application are growing explosively. Mobile app flaws and security defects could open doors for hackers to easily attack mobile apps. Secure software development must be addressed earlier in the development lifecycle rather than fixing the security holes after attacking. Early eliminating against possible security vulnerability will help us increase the security of software and mitigate the consequence of damages of data loss caused by povvtential malicious attacking. In this paper, we present a static security analysis approach with open source FindSecurityBugs plugin for Android Studio IDE. We demonstrate that integration of the plugin enables developers secure mobile application and mitigating security risks during implementation time. erability will help us increase the security of software and mitigate the consequence of damages of data loss caused by potential malicious attacking. In this paper, we present a static security analysis approach with open source FindSecurityBugs plugin for Android Studio IDE. We demonstrate that integration of the plugin enables developers secure mobile application and mitigating security risks during implementation time. udio IDE. We demonstrate that integration of the plugin enables developers secure mobile application and mitigating security risks during implementation time. ity defects could open doors for hackers to easily attack mobile apps. Secure software development must be addressed earlier in the development lifecycle rather than fixing the security holes after attacking. Early eliminating against possible security vulnerability will help us increase the security of software and mitigate the consequence of damages of data loss caused by potential malicious attacking. In this paper, we present a static security analysis approach with open source FindSecurityBugs plugin for Android Studio IDE. We demonstrate that integration of the plugin enables developers secure mobile application and mitigating security risks during implementation time