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"Identity theft."
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Adoption of Identity Theft Countermeasures and its Short- and Long-Term Impact on Firm Value
Identity theft has impaired e-commerce. To combat the crime, many identity theft countermeasures (ITC) have been proposed. As investments in ITC are substantial and the benefits of such investments are intangible, companies are often hesitant to adopt such measures. This was the motivation for this study of the impact of 526 ITC adoption announcements on short- and long-term market value. The event study shows that such announcements result in positive market return of about U.S. $583 million around the date of announcement. Calendar-time portfolio analysis (CPA) is used for the long-term impact analysis and shows that the adoption of ITC generates positive and significant average monthly return up to 1.5% with control of market risk factors in two years. Subsampling analysis and interaction analysis show that U.S. listing, early ITC adoption, and two-factor authentication may moderate the market value of ITC adopters differently. A number of robustness checks (e.g., Heckman model, cross-sectional regression on Tobin’s Q, firm-specific risk factor analysis, subsampling analysis by ICT development, and analysis of security statements in annual reports) are performed. The research provides quantitative evidence of financial gain resulting from adoption of ITC and aspires to raise ITC awareness among industrial practitioners.
Journal Article
Phishing web site detection using diverse machine learning algorithms
Purpose
This paper aims to present a framework to detect phishing websites using stacking model. Phishing is a type of fraud to access users’ credentials. The attackers access users’ personal and sensitive information for monetary purposes. Phishing affects diverse fields, such as e-commerce, online business, banking and digital marketing, and is ordinarily carried out by sending spam emails and developing identical websites resembling the original websites. As people surf the targeted website, the phishers hijack their personal information.
Design/methodology/approach
Features of phishing data set are analysed by using feature selection techniques including information gain, gain ratio, Relief-F and recursive feature elimination (RFE) for feature selection. Two features are proposed combining the strongest and weakest attributes. Principal component analysis with diverse machine learning algorithms including (random forest [RF], neural network [NN], bagging, support vector machine, Naïve Bayes and k-nearest neighbour) is applied on proposed and remaining features. Afterwards, two stacking models: Stacking1 (RF + NN + Bagging) and Stacking2 (kNN + RF + Bagging) are applied by combining highest scoring classifiers to improve the classification accuracy.
Findings
The proposed features played an important role in improving the accuracy of all the classifiers. The results show that RFE plays an important role to remove the least important feature from the data set. Furthermore, Stacking1 (RF + NN + Bagging) outperformed all other classifiers in terms of classification accuracy to detect phishing website with 97.4% accuracy.
Originality/value
This research is novel in this regard that no previous research focusses on using feed forward NN and ensemble learners for detecting phishing websites.
Journal Article
GUARDIANS UPON HIGH: AN APPLICATION OF ROUTINE ACTIVITIES THEORY TO ONLINE IDENTITY THEFT IN EUROPE AT THE COUNTRY AND INDIVIDUAL LEVEL
Online fraud is the most prevalent acquisitive crime in Europe. This study applies routine activities theory to a subset of online fraud, online identity theft, by exploring country-level mechanisms, in addition to individual determinants via a multi-level analysis of Eurobarometer survey data. This paper adds to the theory of cybercrime and policy debates by: (1) showing that country physical guardianship (e. g. cyber security strategy) moderates the effects of individual physical guardianship; (2) introducing a typology of online capable guardianship: passive physical, active personal and avoidance personal guardianship; (3) showing that online identity theft is associated with personal and physical guardianship; and (4) identifying public Internet access and online auction selling as highly risky routine activities. The paper concludes by emphasizing the importance of studying country-level effects on online identity theft victimization.
Journal Article
Think twice
After her evil twin sister, Alice, drugs her, leaves her for dead, and steals her life, Bennie must convince everyone she's ever cared about that she is the real Bennie, and not the deranged twin.
Book
It pays to be forthcoming: timing of data breach announcement, trust violation, and trust restoration
PurposeThis research examines the relationship between the timeliness in announcing the discovery of a data breach and consumer trust in an e-commerce company, as well as later trust-rebuilding efforts taken by the company to compensate users impacted by the breach.Design/methodology/approachA survey experiment was used to examine the effect of both trust-reducing events (announced data breaches) and trust-enhancing events (provision of identity theft protection and credit monitoring) on consumer trust. The timeliness of the breach announcement by an e-commerce company was manipulated between two randomly assigned groups of subjects; one group viewed an announcement of the breach immediately upon its discovery, and the other viewed an announcement made two months after the breach was discovered. Consumer trust was measured before the breach, after the breach was announced, and finally, after the announcement of data protection.FindingsThe results suggest that companies that delay a data breach announcement are likely to suffer a larger drop in consumer trust than those that immediately disclose the data breach. The results also suggest that trust can be repaired by providing data protection. However, even after providing identity theft protection and credit monitoring, companies that fail to promptly disclose a breach have lower repaired trust than companies that promptly disclose.Originality/valueThis study contributes to the literature on e-commerce trust by examining how a company's forthrightness in reporting a data breach impacts user trust at the time of the disclosure of the data breach and after subsequent efforts to repair trust.
Journal Article
Kiss me first : a novel
Leila, a sheltered young misfit, discovers an online chat forum where she feels accepted and falls under the spell of the website's charismatic founder, who entices her into assuming the stolen identity of a glamorous but desperate woman.
Book
Exploring the determinants of victimization and fear of online identity theft: an empirical study
The present study aims at understanding what factors contribute to the explanation of online identity theft (OIT) victimization and fear, using the Routine Activity Theory (RAT). Additionally, it tries to uncover the influence of factors such as sociodemographic variables, offline fear of crime, and computer perception skills. Data for the present study were collected from a self-reported online survey administered to a sample of university students and staff (N = 832, 66% female). Concerning the OIT victimization, binary logistic regression analysis showed that those who do not used credit card had lower odds of becoming an OIT victim, and those who reported visiting risky contents presented higher odds of becoming an OIT victim. Moreover, males were less likely than females of being an OIT victim. In turn, fear of OIT was explained by socioeconomic status (negatively associated), education (positively associated) and by fear of crime in general (positively associated). In addition, subjects who reported more online interaction with strangers were less fearful, and those reported more avoiding behaviors reported higher levels of fear of OIT. Finally, subjects with higher computer skills are less fearful. These results will be discussed in the line of routine activities approach and implications for online preventive behaviors will be outlined.
Journal Article