Link Before You Share: Managing Privacy Policies through Blockchain

With the advent of numerous online content providers, utilities and applications, each with their own specific version of privacy policies and its associated overhead, it is becoming increasingly difficult for concerned users to manage and track the confidential information that they share with the providers. Users consent to providers to gather and share their Personally Identifiable Information (PII). We have developed a novel framework to automatically track details about how a users' PII data is stored, used and shared by the provider. We have integrated our Data Privacy ontology with the properties of blockchain, to develop an automated access control and audit mechanism that enforces users' data privacy policies when sharing their data across third parties. We have also validated this framework by implementing a working system LinkShare. In this paper, we describe our framework on detail along with the LinkShare system. Our approach can be adopted by Big Data users to automatically apply their privacy policy on data operations and track the flow of that data across various stakeholders.Comment: 10 pages, 6 figures, Published in: 4th International Workshop on Privacy and Security of Big Data (PSBD 2017) in conjunction with 2017 IEEE International Conference on Big Data (IEEE BigData 2017) December 14, 2017, Boston, MA, US

Linking consumer trust perception in constructing an e-commerce trust model

Trust issues is still considered as a main obstacle in the implementation of eCommerce Due to the increasing numbers of cyber crimes committed today, consumers are faced with doubt to engage in online shopping. As a safety precaution, consumers will take certain measures to protect their information by evaluating and assessing these websites trustworthiness before an actual purchase occurs. This paper describes a model that examines the elements related to online consumer behavior and to investigate this behavior towards building and increasing trust. The applicability of the model was tested in attempt to view consumers' acceptance towards the model and its component. The fmdings indicate the respondents are aware of the trust issue surrounding e-Commerce implementation as they accept and agreed with the model and its components

A coordination protocol for user-customisable cloud policy monitoring

Cloud computing will see a increasing demand for end-user customisation and personalisation of multi-tenant cloud service offerings. Combined with an identified need to address QoS and governance aspects in cloud computing, a need to provide user-customised QoS and governance policy management and monitoring as part of an SLA management infrastructure for clouds arises. We propose a user-customisable policy definition solution that can be enforced in multi-tenant cloud offerings through an automated instrumentation and monitoring technique. We in particular allow service processes that are run by cloud and SaaS providers to be made policy-aware in a transparent way

Towards an aspect weaving BPEL engine

This position paper proposes the use of dynamic aspects and the visitor design pattern to obtain a highly configurable and extensible BPEL engine. Using these two techniques, the core of this infrastructural software can be customised to meet new requirements and add features such as debugging, execution monitoring, or changing to another Web Service selection policy. Additionally, it can easily be extended to cope with customer-specific BPEL extensions. We propose the use of dynamic aspects not only on the engine itself but also on the workflow in order to tackle the problems of Web Service hot deployment and hot fixes to long running processes. In this way, composing aWeb Service "on-the-fly" means weaving its choreography interface into the workflow

Improving the Scalability of DPWS-Based Networked Infrastructures

The Devices Profile for Web Services (DPWS) specification enables seamless discovery, configuration, and interoperability of networked devices in various settings, ranging from home automation and multimedia to manufacturing equipment and data centers. Unfortunately, the sheer simplicity of event notification mechanisms that makes it fit for resource-constrained devices, makes it hard to scale to large infrastructures with more stringent dependability requirements, ironically, where self-configuration would be most useful. In this report, we address this challenge with a proposal to integrate gossip-based dissemination in DPWS, thus maintaining compatibility with original assumptions of the specification, and avoiding a centralized configuration server or custom black-box middleware components. In detail, we show how our approach provides an evolutionary and non-intrusive solution to the scalability limitations of DPWS and experimentally evaluate it with an implementation based on the the Web Services for Devices (WS4D) Java Multi Edition DPWS Stack (JMEDS).Comment: 28 pages, Technical Repor

Keberkesanan carta pembelajaran Omygram terhadap tahap pencapaian pelajar PVMA dalam mata pelajaran Bahasa Inggeris bagi topik plurals

Pembinaan bahan bantu belajar untuk tujuan PdPC sememangnya digalakkan oleh Kementerian Pendidikan Malaysia bagi meningkatkan kualiti pendidikan. Kajian ini bertujuan untuk membangun dan mengenalpasti keberkesanan carta pembelajaran Omygram terhadap tahap pencapaian pelajar PVMA dalam mata pelajaran Bahasa Inggeris bagi topik plurals. Kajian ini adalah kuasi-eksperimen yang melibatkan dua buah sekolah menengah harian di daerah Batu Pahat. Instrumen kajian yang digunakan ialah soalan ujian pra dan pasca, soal selidik dan senarai semak. Dapatan kajian telah dianalisis menggunakan perisian Statistic Package For The Social Science Version 22.0 (SPSS). Analisis deskriptif dalam bentuk frekuensi, peratus, min dan sisihan piawai digunakan semasa penganalisaan data. Ujian-t pula digunakan untuk melihat perbezaan pencapaian antara ujian pra dengan ujian pasca bagi kumpulan rawatan dan kumpulan kawalan. Kumpulan rawatan diberi set soal selidik tentang motivasi pelajar selepas menggunakan carta pembelajaran Omygram dalam PdPC. Hasil dapatan kajian mendapati bahawa, terdapat perbezaan pencapaian yang signifikan antara skor ujian pra dengan skor ujian pasca bagi kumpulan rawatan. Motivasi pelajar selepas menggunakan carta pembelajaran Omygram juga berada pada tahap tinggi