Real and substantial connections : Enforcing Canadian privacy laws against American social networking companies

Any organisation that captures personal data in Canada for processing is deemed tohave a ‘real and substantial connection’ to Canada and thus fall within thejurisdiction of the Personal Information Protection and Electronic Documents Act(PIPEDA) and of the Office of the Privacy Commissioner of Canada (OPC). Whathas been the experience of enforcing Canadian privacy protection law on US-basedsocial networking services? We analyse some of the high-profile enforcement actionsby the Privacy Commissioner. We also test compliance through an analysis of theprivacy policies of the top 23 SNSs operating in Canada and through the use of accessto personal information requests. Our analysis suggests that non-compliance iswidespread, and is explained by the countervailing conceptions of jurisdictioninherent in corporate policy and technical system design.

Spike sorting using locality preserving projection with gap statistics and landmark-based spectral clustering

Understanding neural functions requires knowledge from analysing electrophysiological data. The process of assigning spikes of a multichannel signal into clusters, called spike sorting, is one of the important problems in such analysis. There have been various automated spike sorting techniques with both advantages and disadvantages regarding accuracy and computational costs. Therefore, developing spike sorting methods that are highly accurate and computationally inexpensive is always a challenge in the biomedical engineering practice.

Security and privacy of users' personal Information on smartphones

 This research investigated the proliferation of malicious applications on smartphones and a framework that can efficiently detect and classify such applications based on behavioural patterns was proposed. Additionally the causes and impact of unauthorised disclosure of personal information by clean applications were examined and countermeasures to protect smartphone users’ privacy were proposed.

Brain targeted PLGA nanocarriers alleviating amyloid-Β expression and preserving basal survivin in degenerating mice model

The chronic systemic administration of d-Galactose in C57BL/6J mice showed a relatively high oxidative stress, amyloid-β expression and neuronal cell death. Enhanced expression of pyknotic nuclei, caspase-3 and reduced expression of neuronal integrity markers further confirmed the aforesaid insults. However, concomitant treatment with the recombinant protein (SurR9-C84A) and the anti-transferrin receptor antibody conjugated SurR9-C84A (SurR9+TFN) nanocarriers showed a significant improvement in the disease status and neuronal health. The beauty of this study is that the biodegradable Food and Drug Administration (FDA) approved poly(lactic-co-glycolic acid) (PLGA) nanocarriers enhanced the biological half-life and the efficacy of the treatments. The nanocarriers were effective in lowering the amyloid-β expression, enhancing the neuronal integrity markers and maintaining the basal levels of endogenous survivin that is essential for evading the caspase activation and apoptosis. The current study herein reports for the first time that the brain targeted SurR9-C84A nanocarriers alleviated the d-Galactose induced neuronal insults and has potential for future brain targeted nanomedicine application.

The security, privacy, and ethical implications of social networking sites

© 2015, IGI Global. The chapter investigates the security and ethical issues relating to privacy and security. This chapter also examines the ethical issues of new forms of bullying that are being played out weekly in the media: cyber bulling, specifically on SNS such as Facebook. The traditional and direct forms of bullying are being replaced by consistent abuse via SNS due to the ease and accessibility of these new forms of communications.

Secure ownership transfer for multi-tag multi-owner passive RFID environment with individual-owner-privacy

In this paper we propose a secure ownership transfer protocol for a multi-tag multi-owner RFID environment that provides individual-owner-privacy. To our knowledge, the existing schemes do not provide individual-owner-privacy and most of the existing schemes do not comply with the EPC Global Class-1 Gen-2 (C1G2) standard since the protocols use expensive hash operations or sophisticated encryption schemes that cannot be implemented on low-cost passive tags that are highly resource constrained. Our work aims to fill these gaps by proposing a protocol that provides individual-owner-privacy, based on simple XOR and 128-bit pseudo-random number generators (PRNG), operations that are easily implemented on low-cost RFID tags while meeting the necessary security requirements thus making it a viable option for large scale implementations. Our protocol also provides additional protection by hiding the pseudo-random numbers during all transmissions using a blind-factor to prevent tracking attacks.

Security and privacy concerns for Australian SMEs cloud adoption: empirical study of metropolitan vs regional SMEs

New national infrastructure initiatives such as the National Broadband Network (NBN) allow small and medium-sized enterprises (SMEs) in Australia to have greater access to cost effective Cloud computing. However, the ability of Cloud computing to store data remotely and share services in a dynamic environment brings with it security and privacy concerns. Evaluating these concerns is critical to address the Cloud computing underutilisation issue and leverage the benefits of costly NBN investment. This paper examines the influence of privacy and security factors on Cloud adoption by Australian SMEs in metropolitan and regional area. Data were collected from 150 Australian SMEs (specifically, 79 metropolitan SMEs and 71 regional SMEs) and structural equation modelling was used for the analysis. The findings reveal that privacy and security factors do not significantly influence the decision-making of Australian SMEs in the adoption of Cloud computing. Moreover, the results indicate that Cloud computing adoption is not influenced by the geographical location (i.e., metropolitan or regional location) of the SMEs. The findings extend the current understanding of Cloud computing adoption by Australian SMEs. The results will be useful to SMEs, Cloud service providers and policy makers devising Cloud security and privacy policies.

The surveillance of social networking and the social value of privacy

This chapter argues that theories about privacy would benefit from embracing deliberative democratic theory on the grounds that it addresses harms to democracy, and widens our understandings of privacy infringements in social networking environments. We first explore how social networking services (SNS) have evolved through different phases and how they enable political deliberation. Subsequently, we discuss more traditional individualistic and intersubjective theories of privacy in relation to social networking and point out their limitations in identifying and redressing social networking-related harms. We then critique emerging claims concerning the social value of privacy in the context of the social Web. Here we point out how these theories might identify non-individualized harms, yet, at the same time, suffer important challenges in application. We conclude by arguing that deliberative democratic theory can add some critical insights into the privacy harms encountered on the contemporary “social Web” that are only imperfectly understood by individualistic and social conceptions of privacy.

Utility-aware social network graph anonymization

As the need for social network data publishing continues to increase, how to preserve the privacy of the social network data before publishing is becoming an important and challenging issue. A common approach to address this issue is through anonymization of the social network structure. The problem with altering the structure of the links relationship in social network data is how to balance between the gain of privacy and the loss of information (data utility). In this paper, we address this problem. We propose a utility-aware social network graph anonymization. The approach is based on a new metric that calculates the utility impact of social network link modification. The metric utilizes the shortest path length and the neighborhood overlap as the utility value. The value is then used as a weight factor in preserving structural integrity in the social network graph anonymization. For any modification made to the social network links, the proposed approach guarantees that the distance between vertices in the modified social network stays as close as the original social network graph prior to the modification. Experimental evaluation shows that the proposed metric improves the utility preservation as compared to the number-of-change metric.