BibSonomy publications for /tag/personalizationTue Dec 06 18:28:02 CET 2011Stanfordjun2003-35An Analytical Comparison of Approaches to Personalizing PageRank2003comparison personalization search social web pagerank ranking PageRank, the popular link-analysis algorithm for ranking web pages, assigns a query and user independent estimate of "importance" to web pages. Query and user sensitive extensions of PageRank, which use a basis set of biased PageRank vectors, have been proposed in order to personalize the ranking function in a tractable way. We analytically compare three recent approaches to personalizing PageRank and discuss the tradeoffs of each one.Sat Nov 12 19:35:45 CET 2011New York, NY, USAProceedings of the 5th international conference on Electronic commerce310--315ICEC '03A study of the effect of consumer trust on consumer expectations and satisfaction: the Korean experience2003electronic employee personalization privacy survey This study proposes a framework regarding the relationship between consumer trust, satisfaction, and expectation in the context of electronic commerce. In particular, the framework draws together two theories: expectation-confirmation theory and social exchange theory. Following the longitudinal pre-purchase and post-purchase stages, this study provides a theoretical framework combining trust, expectation and satisfaction, and tests the proposed models empirically using Internet consumer behavior data collected via two rounds of Web surveys conducted in two major Korean universities. In accordance with existing literature of traditional commerce, the empirical findings suggest that both consumer's trust and expectation have positive influences on consumer's satisfaction. The study also provides a framework explaining the subsequent relationships of trust and satisfaction (trust → satisfaction → post-trust → long-term trust) following the pre-purchase and post-purchase stages. In addition, a significant and positive relationship is detected between consumer's trust and expectation.Sat Nov 12 19:30:22 CET 2011Tracing Traitors1994electronic employee personalization privacy survey Sat Nov 12 19:22:11 CET 2011cite arxiv:1010.1938
Comment: 4 Pages, Invited Paper in VCON'10: 2nd Vaagdevi International
Conference on Information Technology for Real World Problems Vaagdevi College
of Engineering, Warangal, Andhra Pradesh, India, December 9-11, 2010New Frontiers of Network Security: The Threat Within2010electronic employee personalization privacy survey Nearly 70% of information security threats originate from inside an
organization. Opportunities for insider threats have been increasing at an
alarming rate with the latest trends of mobility (portable devices like Laptop,
smart phones etc.), ubiquitous connectivity (wireless or through 3G
connectivity) and this trend increases as more and more web-based applications
are made available over the Internet. Insider threats are generally caused by
current or ex-employees, contractors or partners, who have authorized access to
the organization's network and servers. Theft of confidential information is
often for either material gain or for willful damage. Easy availability of
hacking tools on the Internet, USB devices and wireless connectivity provide
for easy break-ins. The net result is losses worth millions of dollars in terms
of IP theft, leakage of customer / individual information, etc. This paper
presents an understanding of Insider threats, attackers and their motives and
suggests mitigation techniques at the organization level
Sat Nov 12 19:20:06 CET 2011cite arxiv:1109.5388
Comment: The paper is communicated to the IEEE Communications Surveys and
TutorialsA Survey on Security Issues in Cloud Computing2011electronic employee personalization privacy survey Cloud Computing holds the potential to eliminate the requirements for setting
up of high-cost computing infrastructure for the IT-based solutions and
services that the industry uses. It promises to provide a flexible IT
architecture, accessible through internet for lightweight portable devices.
This would allow many-fold increase in the capacity or capabilities of the
existing and new software. In a cloud computing environment, the entire data
reside over a set of networked resources, enabling the data to be accessed
through virtual machines. Since these data centers may lie in any corner of the
world beyond the reach and control of users, there are multifarious security
and privacy challenges that need to be understood and taken care of. Also, one
can never deny the possibility of a server breakdown that has been witnessed,
rather quite often in the recent times. There are various issues that need to
be dealt with respect to security and privacy in a cloud computing scenario.
This extensive survey paper aims to elaborate and analyze the numerous
unresolved issues threatening the Cloud computing adoption and diffusion
affecting the various stake-holders linked to it.
Sat Nov 12 19:13:35 CET 2011Business and Society Review195--113Counteracting Global Industrial Espionage: A Damage Control Strategy1082003electronic employee personalization privacy survey Sat Nov 12 19:08:48 CET 2011Journal of Computer-Mediated Communication2335--361Communication Privacy Management in Electronic Commerce122007electronic employee personalization privacy survey This study applies Petronio’s Communication Privacy Management theory (CPM) to understand the tension between information disclosure and privacy within e-commerce relationships. It proposes that consumers manage their privacy concerns through decisions to reveal or conceal information about themselves in interactions with online retailers. The study investigates the degree to which privacy management strategies identified by CPM theory to regulate privacy and disclosure within interpersonal relationships, including withholding and falsifying information, as well as seeking information seeking from a relational partner, operate in the computer-mediated context of e-commerce relational transactions. Findings suggest that online consumers do erect boundaries around personal information and form rules to decide when to reveal information that are consistent with CPM theory. Overall, this study provides knowledge about privacy in online commercial transactions, serves as a basis for more directed theory construction in this arena, and has important practical and policy implications.Sat Nov 12 19:04:07 CET 2011Proceedings of the American Society for Information Science and Technology11--11[Name withheld]: Anonymity and its implications432006electronic employee personalization privacy survey Anonymity allows the individual to have a voice without having a name. Since the word “anonymous” entered the English language with the advent of the printing press, the implications of being anonymous – and its lexical offspring “anonymity” – have shifted with time, place, and circumstance. What are the perceived effects of being anonymous/anonymity on the individual and on society? In this paper, I will explore some of the shifting meanings and implications of this concept, first as it relates to authorship, then (as it came to be viewed) as a signature condition of modern life. The perceived effect of anonymity on the social good includes promoting freedom of expression, enabling the free flow of information, enhancing therapeutic disinhibition, and fostering an atmosphere where ideas are judged on merit. Negative consequences include lack of accountability and credibility, nondisclosure, and deindividuation. The requirements for maintaining anonymity and pseudonymity are discussed and anonymity on the Internet. Finally, I will explore how anonymity/pseudonymity has come to be seen as a key way to protect privacy in an era of ubiquitous surveillance technologies and to promote free expression in cyberspace.Sat Nov 12 18:54:18 CET 2011Berlin / HeidelbergDatabase and Expert Systems Applications324-332Lecture Notes in Computer ScienceProvable Data Privacy35882005electronic employee personalization privacy survey In relational database systems a combination of privileges and views is employed to limit a user’s access and to hide non-public data. The data privacy problem is to decide whether the views leak information about the underlying database instance. Or, to put it more formally, the question is whether there are certain answers of a database query with respect to the given view instance. In order to answer the problem of provable date privacy, we will make use of query answering techniques for data exchange. We also investigate the impact of database dependencies on the privacy problem. An example about health care statistics in Switzerland shows that we also have to consider dependencies which are inherent in the semantics of the data.Sat Nov 12 18:52:38 CET 2011Marketing Letters61-74Volunteering personal information on the internet: Effects of reputation, privacy notices, and rewards on online consumer behavior172006electronic employee personalization privacy survey Accurate personal information provision is one of the most important determinants of the commercial development of the Web. However, consumers are usually reluctant to provide personal information or tend to provide false information online because of their concern about privacy violation risks. We employ a 2 2 2 experimental design to examine the effects of reputation, privacy notices, and rewards on online consumer behavior in volunteering two types of personal information on the Internet: demographic information and personally identifiable information. We discuss the theoretical and practical implications of the findings.Sat Nov 12 18:43:53 CET 2011Organization Science1pp. 104-115Information Privacy Concerns, Procedural Fairness, and Impersonal Trust: An Empirical Investigation101999electronic employee personalization privacy survey This research addresses the tensions that arise between the collection and use of personal information that people provide in the course of most consumer transactions, and privacy. In today's electronic world, the competitive strategies of successful firms increasingly depend on vast amounts of customer data. Ironically, the same information practices that provide value to organizations also raise privacy concerns for individuals. This study hypothesized that organizations can address these privacy concerns and gain business advantage through customer retention by observing procedural fairness: customers will be willing to disclose personal information and have that information subsequently used to create consumer profiles for business use when there are fair procedures in place to protect individual privacy. Because customer relationships are characterized by social distance, customers must depend on strangers to act on their behalf. Procedural fairness serves as an intermediary to build trust when interchangeable organizational agents exercise considerable delegated power on behalf of customers who cannot specify or constrain their behavior. Our hypothesis was supported as we found that when customers are explicitly told that fair information practices are employed, privacy concerns do not distinguish consumers who are willing to be profiled from those who are unwilling to have their personal information used in this way.Sat Nov 12 18:38:34 CET 2011Information, Communication and Society192-114Situating Privacy Online72004electronic employee personalization privacy survey Media and research reports point to the issue of privacy as the key to understanding online behaviour and experience. Yet it is well recognized within privacy-advocacy circles that 'privacy' is a loose concept encompassing a variety of meanings. In this article we view privacy as mediating between individuals and their online activities, not standing above them, and as being constantly redefined in actual practice. It is necessary to examine, therefore, what individuals are reacting to when asked about online privacy and how it affects their online experience. This article is based on data generated in the Everyday Internet study, a neighbourhood- based, ethnographic project being conducted in Toronto, Canada, that investigates how people integrate online services in their daily lives. We propose that there are three organizing 'moments' of online privacy: the moment of sitting in front of the computer, the moment of interaction with it, and the moment after the data has been released.Sat Nov 12 18:28:35 CET 2011Service Systems and Service Management (ICSSSM), 2011 8th International Conference onjune1 -5Organizational socialization and employee job performance: An examination on the role of the job satisfaction and organizational commitment2011electronic employee personalization privacy survey Sat Nov 12 18:23:39 CET 2011Engineering Management, IEEE Transactions onmay2 227 - 237Examining Internet privacy policies within the context of user privacy values522005electronic employee personalization privacy survey Sat Nov 12 18:20:40 CET 2011Software Engineering, IEEE Transactions onjan.-feb. 167 -82Engineering Privacy352009electronic employee engineering personalization privacy Sat Nov 12 18:15:45 CET 2011New York, NY, USAProceedings of the 5th Annual Workshop on Cyber Security and Information Intelligence Research: Cyber Security and Information Intelligence Challenges and Strategies45:1--45:4CSIIRW '09A security architecture to protect against the insider threat from damage, fraud and theft2009electronic employee personalization privacy survey The insider threat poses a significant and increasing problem for organizations. This is shown by the regular stories of fraud and data loss reported daily in the media in the US and elsewhere. There is a need to provide systematic protection from insider attacks because of their privileged access. We have developed a three-layer security architecture containing the physical, logical and social levels that we use to analyze the insider threat holistically to prevent, detect and recover from attacks. We examine destructive insider attacks, but the same analysis can be straightforwardly applied to the other main classes of insider threat from financial fraud and information theft. Our practical security model appears to have widespread application to other problem domains such as critical infrastructure and financial systems, as it allows the analysis of systems in their entirety including human and physical factors, not just as technical systems.Sat Nov 12 18:11:59 CET 2011New York, NY, USAProceedings of the first ACM conference on Data and application security and privacy231--236CODASPY '11The optimization of situational awareness for insider threat detection2011electronic personalization privacy society survey In recent years, organizations ranging from defense and other government institutions to commercial enterprises, research labs, etc., have witnessed an increasing amount of sophisticated insider attacks that manage to bypass existing security controls. Insider threats are staged by either disgruntled employees, or employees engaged in malicious activities such as industrial espionage. The objectives of such threats range from sabotage, e.g., in order to disrupt the completion of a project, to exfiltration of sensitive data such as trade secrets, patents, etc. Insiders are often skilled and motivated individuals with good knowledge of internal security measures in the organization. They devise effective and carefully planned attacks, prepared over long periods of time and customized to inflict maximum damage. Such attacks are difficult to detect and protect against, because insiders have the proper credentials to access services and systems within the organization, and possess knowledge that may allow them to deceive network defense controls. As a result, a large number of hosts may be taken over, allowing malicious insiders to maintain control over the network even after leaving the organization.</p> <p>The objective of this study is to identify a high-level architecture and mechanisms for early detection and protection against insider threats. One of the main aspects we focus on is preventing data exfiltration, which is known to cost billions of dollars in losses annually. The goal is to either <i>(i)</i> detect attacks as they occur and prevent insiders from gaining control over the network, or <i>(ii)</i> detect early hosts and services that are compromised such that malware is prevented from spreading/morphing, hence insiders are no longer able to control the network or to exfiltrate sensitive data. We envision a data-intensive approach that leverages large amounts of events collected from a diverse set of sources such as network sensors, intrusion detection systems, service logs, as well as known attack databases (e.g., virus signature collections, digital artifacts), security and service logs, etc. The proposed approach aims to study and understand the relationships and correlations between events, with the purpose of detecting anomalous and/or malicious behavior.Sat Nov 12 18:09:14 CET 2011New York, NY, USAProceedings of the 2003 ACM workshop on Privacy in the electronic society111--117WPES '03'I didn't buy it for myself' privacy and ecommerce personalization2003buy didnt ecommerce personalization privacy Ecommerce personalization can help web sites build and retain relationships with customers, but it also raises a number of privacy concerns. This paper outlines the privacy risks associated with personalization and describes a number of approaches to personalization system design that can reduce these risks. This paper also provides an overview of the fair information practice principles and discusses how they may be applied to the design of personalization systems, and introduces privacy laws and self-regulatory guidelines relevant to personalization. Privacy risks can be reduced when personalization system designs allow for pseudonymous interactions, client-side data stores, and task-based personalization. In addition, interfaces that allow users to control the collection and use of their profile information can further ease privacy concerns.Mon Sep 05 10:49:50 CEST 2011Athens, GreeceProceedings of The Second International Workshop on Mining Ubiquitous and Social Environments - MUSE'11September43--53The Generation of User Interest Profiles from Semantic Quiz Games2011game myown personalization semantic user-profile Mon Aug 01 21:53:36 CEST 2011CoRRinformal publicationCan Small Museums Develop Compelling, Educational and Accessible Web Resources? The Case of Accademia Carraraabs/cs/05080662005Accademia Carrara accessibility education museum myown personalization small web personalizationCommunity for tag(s) personalization