Automatic generation of meta classifiers with large levels for distributed computing and networking

This paper is devoted to a case study of a new construction of classifiers. These classifiers are called automatically generated multi-level meta classifiers, AGMLMC. The construction combines diverse meta classifiers in a new way to create a unified system. This original construction can be generated automatically producing classifiers with large levels. Different meta classifiers are incorporated as low-level integral parts of another meta classifier at the top level. It is intended for the distributed computing and networking. The AGMLMC classifiers are unified classifiers with many parts that can operate in parallel. This make it easy to adopt them in distributed applications. This paper introduces new construction of classifiers and undertakes an experimental study of their performance. We look at a case study of their effectiveness in the special case of the detection and filtering of phishing emails. This is a possible important application area for such large and distributed classification systems. Our experiments investigate the effectiveness of combining diverse meta classifiers into one AGMLMC classifier in the case study of detection and filtering of phishing emails. The results show that new classifiers with large levels achieved better performance compared to the base classifiers and simple meta classifiers classifiers. This demonstrates that the new technique can be applied to increase the performance if diverse meta classifiers are included in the system.

An efficient anonymous remote attestation scheme for trusted computing based on improved CPK

 The platform remote attestation (RA) is one of the main features of trusted computing platform proposed by the trusted computing group (TCG). The privacy certificate authority (CA) solution of RA requires users to pay for multiple certificates, and the direct anonymous attestation (DAA) solution leads to inefficiency. TCG RA also suffers from limitations of platform configuration privacy. This paper proposed a RA scheme based on an improved combined public key cryptography (ICPK) (abbreviated to RA-ICPK). RA-ICPK is a certificate-less scheme without using public key infrastructure CA signature or DAA signature, which combines commitment scheme, zero-knowledge proof and ring signature (RS) to own the property of unforgeability and privacy. RA-ICPK is mainly based on elliptic curve cryptography without bilinear pair computing, and only carries out zero-knowledge proof one time. RA-ICPK need not depend on trusted third parties to check trusted platform modules identity and integrity values revocations. © 2014 Springer Science+Business Media New York

Security from the transparent computing aspect

Transparent computing is an emerging computing paradigm where the users can enjoy any kind of service over networks on-demand with any devices, without caring about the underlying deployment details. In transparent computing, all software resources (even the OS) are stored on remote servers, from which the clients can request the resources for local execution in a block-streaming way. This paradigm has many benefits including cross-platform experience, user orientation, and platform independence. However, due to its fundamental features, e.g., separation of computation and storage in clients and servers respectively, and block-streaming-based scheduling and execution, transparent computing faces many new security challenges that may become its biggest obstacle. In this paper, we propose a Transparent Computing Security Architecture (TCSA), which builds user-controlled security for transparent computing by allowing the users to configure the desired security environments on demand. We envision, TCSA, which allows the users to take the initiative to protect their own data, is a promising solution for data security in transparent computing. © 2014 IEEE.

Fog computing: a cloud to the ground support for smart things and machine-to-machine networks

Cloud services to smart things face latency and intermittent connectivity issues. Fog devices are positioned between cloud and smart devices. Their high speed Internet connection to the cloud, and physical proximity to users, enable real time applications and location based services, and mobility support. Cisco promoted fog computing concept in the areas of smart grid, connected vehicles and wireless sensor and actuator networks. This survey article expands this concept to the decentralized smart building control, recognizes cloudlets as special case of fog computing, and relates it to the software defined networks (SDN) scenarios. Our literature review identifies a handful number of articles. Cooperative data scheduling and adaptive traffic light problems in SDN based vehicular networks, and demand response management in macro station and micro-grid based smart grids are discussed. Security, privacy and trust issues, control information overhead and network control policies do not seem to be studied so far within the fog computing concept.

Analysis of circadian rhythms from online communities of individuals with affective disorders

The circadian system regulates 24 hour rhythms in biological creatures. It impacts mood regulation. The disruptions of circadian rhythms cause destabilization in individuals with affective disorders, such as depression and bipolar disorders. Previous work has examined the role of the circadian system on effects of light interactions on mood-related systems, the effects of light manipulation on brain, the impact of chronic stress on rhythms. However, such studies have been conducted in small, preselected populations. The deluge of data is now changing the landscape of research practice. The unprecedented growth of social media data allows one to study individual behavior across large and diverse populations. In particular, individuals with affective disorders from online communities have not been examined rigorously. In this paper, we aim to use social media as a sensor to identify circadian patterns for individuals with affective disorders in online communities.We use a large scale study cohort of data collecting from online affective disorder communities. We analyze changes in hourly, daily, weekly and seasonal affect of these clinical groups in contrast with control groups of general communities. By comparing the behaviors between the clinical groups and the control groups, our findings show that individuals with affective disorders show a significant distinction in their circadian rhythms across the online activity. The results shed light on the potential of using social media for identifying diurnal individual variation in affective state, providing key indicators and risk factors for noninvasive wellbeing monitoring and prediction.

Energy efficiency on location based applications in mobile cloud computing: a survey

The constrained battery power of mobile devices poses a serious impact on user experience. As an increasingly prevalent type of applications in mobile cloud environments, location-based applications (LBAs) present some inherent limitations concerning energy. For example, the Global Positioning System based positioning mechanism is well-known for its extremely power-hungry attribute. Due to the severity of the issue, considerable researches have focused on energy-efficient locating sensing mechanism in the last a few years. In this paper, we provide a comprehensive survey of recent work on low-power design of LBAs. An overview of LBAs and different locating sensing technologies used today are introduced. Methods for energy saving with existing locating technologies are investigated. Reductions of location updating queries and simplifications of trajectory data are also mentioned. Moreover, we discuss cloud-based schemes in detail which try to develop new energy-efficient locating technologies by leveraging the cloud capabilities of storage, computation and sharing. Finally, we conclude the survey and discuss the future research directions. © 2013 Springer-Verlag Wien.

Theorising about gender and computing interventions through an evaluation framework

Despite over 20 years of intervention programmes, the gender balance in the computing profession is not improving. It has been suggested that the problem with much of the research on gender and computing is that it is under-theorised. The contribution of this study is an evaluation framework, designed to evaluate gender and computing interventions, which will advance the theorisation of research through programme evaluation. This study was undertaken in three phases: The first involved theory building through an extensive review of the literature resulting in a conceptual framework for intervention programme evaluation. The second phase consisted of a multiple-case study of 14 major intervention programmes in Australia. Subsequent modifications to the conceptual framework resulted in the gender and computing intervention evaluation framework. The value of the framework was confirmed in phase three by intervention experts and showed that applying the framework will help programme champions to evaluate their programmes more thoroughly. The dissemination of sound evaluation results will then enable a deeper theorisation of the issues surrounding gender and computing interventions.

FEACS: a flexible and efficient access control scheme for cloud computing

In the past few years, cloud computing has emerged as one of the most influential paradigms in the IT industry. As promising as it is, this paradigm brings forth many new challenges for data security because users have to outsource sensitive data on untrusted cloud servers for sharing. In this paper, to guarantee the confidentiality and security of data sharing in cloud environment, we propose a Flexible and Efficient Access Control Scheme (FEACS) based on Attribute-Based Encryption, which is suitable for fine-grained access control. Compared with existing state-of-the-art schemes, FEACS is more practical by following functions. First of all, considering the factor that the user membership may change frequently in cloud environment, FEACS has the capability of coping with dynamic membership efficiently. Secondly, full logic expression is supported to make the access policy described accurately and efficiently. Besides, we prove in the standard model that FEACS is secure based on the Decisional Bilinear Diffie-Hellman assumption. To evaluate the practicality of FEACS, we provide a detailed theoretical performance analysis and a simulation comparison with existing schemes. Both the theoretical analysis and the experimental results prove that our scheme is efficient and effective for cloud environment.

Outreach programmes to attract girls into computing: how the best laid plans can sometimes fail

This article presents a reflective analysis of an outreach programme called the Digital Divas Club. This curriculum-based programme was delivered in Australian schools with the aim of stimulating junior and middle school girls’ interest in computing courses and careers. We believed that we had developed a strong intervention programme based on previous literature and our collective knowledge and experiences. While it was coordinated by university academics, the programme content was jointly created and modified by practicing school teachers. After four years, when the final data were compiled, it showed that our programme produced significant change to student confidence in computing, but the ability to influence a desire to pursue a career path in computing did not fully eventuate. To gain a deeper insight in to why this may be the case, data collected from two of the schools are interrogated in more detail as described in this article. These schools were at the end of the expected programme outcomes. We found that despite designing a programme that delivered a multi-layered positive computing experience, factors beyond our control such as school culture and teacher technical self-efficacy help account for the unanticipated results. Despite our best laid plans, the expectations that this semester long programme would influence students’ longer term career outcomes may have been aspirational at best.

Revisiting social influence in the ubiquitous computing era

This paper revisits the social influence construct in the era of ubiquitous computing. Despite its rather broad origins in psychology, social influence has to date been operationalized rather narrowly in the information technology adoption literature. We report on a study of mobile technology users in which we studied various social influences on these individuals. We isolate four distinct variants of social influence, operating in both inbound and outbound directions, each with positive and negative impacts. The study integrates three different dimensions of social influence into an analytical framework to facilitate future research. © 2012 IEEE.