The Experts below are selected from a list of 135 Experts worldwide ranked by ideXlab platform
Loganaden Velvindron - One of the best experts on this subject based on the ideXlab platform.
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Cyber Psychology: A qualitative study to deviate Black Hat Hacker teenagers towards white Hat Hacker teenagers in Mauritius
2019Co-Authors: Veediasha Bekaroo, Loganaden VelvindronAbstract:This is a qualitative research paper with 10 teenage participants from 11 years old to 18 years old from Cyberstorm members in Mauritius. These teenagers had been noticed with Black Hat Hacker’s mindset, behaviors and personality traits. But under observation and guidance during 6months, it was detected tHat their deviant behavior had been shifted from Black Hat Hacker to white Hat Hacker.
Gerard Steube - One of the best experts on this subject based on the ideXlab platform.
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A logistic regression model to distinguish white Hat and Black Hat Hackers
2004Co-Authors: Richard E. Yellen, Gerard SteubeAbstract:Hackers have adversely impacted Internet commerce. Their attacks have led to a great deal of speculation and interest in understanding the motivations of these perpetrators. Individuals who attempt to gain unauthorized access to computer systems and disrupt Internet transactions are referred to as Black Hat Hackers; individuals who attempt to defend against these types of attacks are known as ethical Hackers or white Hat Hackers. Understanding differences between these groups can lead to a starting point for sorting Hackers and for developing deterrents against illicit hacking. This study examined two research questions. The first question explored the relationship between ethics and Black Hat and white Hat Hacker groups. The second question investigated ways in which a logistic regression model using demographic data, ethics scores could be used to predict the classification of Hackers as white Hat or Black Hat. An online survey was administered to both Hacker groups. Web sites and list servers were used to sample individuals who identified themselves as white Hat or Black Hat Hackers. The survey included demographic information and an ethics instrument known as the Moral Judgment Test. A logistic regression equation was developed from the data collected to predict membership identification as a white Hat or Black Hat Hacker. The independent variables in this equation included computer certification, gender, and ethics score on the Moral Judgment Test. The resulting logistic regression model was statistically significant in predicting the likelihood of Hacker group membership. Ethics scores and certification also reached a level of significance in distinguishing white Hat and Black Hat Hackers.
Veediasha Bekaroo - One of the best experts on this subject based on the ideXlab platform.
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Cyber Psychology: A qualitative study to deviate Black Hat Hacker teenagers towards white Hat Hacker teenagers in Mauritius
2019Co-Authors: Veediasha Bekaroo, Loganaden VelvindronAbstract:This is a qualitative research paper with 10 teenage participants from 11 years old to 18 years old from Cyberstorm members in Mauritius. These teenagers had been noticed with Black Hat Hacker’s mindset, behaviors and personality traits. But under observation and guidance during 6months, it was detected tHat their deviant behavior had been shifted from Black Hat Hacker to white Hat Hacker.
Richard E. Yellen - One of the best experts on this subject based on the ideXlab platform.
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A logistic regression model to distinguish white Hat and Black Hat Hackers
2004Co-Authors: Richard E. Yellen, Gerard SteubeAbstract:Hackers have adversely impacted Internet commerce. Their attacks have led to a great deal of speculation and interest in understanding the motivations of these perpetrators. Individuals who attempt to gain unauthorized access to computer systems and disrupt Internet transactions are referred to as Black Hat Hackers; individuals who attempt to defend against these types of attacks are known as ethical Hackers or white Hat Hackers. Understanding differences between these groups can lead to a starting point for sorting Hackers and for developing deterrents against illicit hacking. This study examined two research questions. The first question explored the relationship between ethics and Black Hat and white Hat Hacker groups. The second question investigated ways in which a logistic regression model using demographic data, ethics scores could be used to predict the classification of Hackers as white Hat or Black Hat. An online survey was administered to both Hacker groups. Web sites and list servers were used to sample individuals who identified themselves as white Hat or Black Hat Hackers. The survey included demographic information and an ethics instrument known as the Moral Judgment Test. A logistic regression equation was developed from the data collected to predict membership identification as a white Hat or Black Hat Hacker. The independent variables in this equation included computer certification, gender, and ethics score on the Moral Judgment Test. The resulting logistic regression model was statistically significant in predicting the likelihood of Hacker group membership. Ethics scores and certification also reached a level of significance in distinguishing white Hat and Black Hat Hackers.
Ronald E. Pike - One of the best experts on this subject based on the ideXlab platform.
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The "Ethics" of Teaching Ethical Hacking
Journal of International Technology and Information Management, 2013Co-Authors: Ronald E. PikeAbstract:INTRODUCTION Hacking grew out of a tradition of mutual cooperation among software developers to create software projects tHat were innovative, aesthetic and included some form of technical virtuosity (Levy, 1994). As computer communications became pervasive with the rise of the Internet the term Hacker was also used to describe the process of exploring and experimenting with computer networks (Sterling, 1993). However, as commercialized use of software and computer networks grew they became property with putative boundaries and crossing these boundaries became criminalized. For the purpose of this paper the terms white-Hat and Black-Hat Hacker will be used. A white-Hat Hacker is defined as a Hacker who is committed to full compliance with legal and regulatory statutes as well as published ethical frameworks tHat apply to the task at hand. A Black-Hat Hacker then is a Hacker who either ignores or intentionally defies legal or regulatory statutes with presumably little interest in ethical frameworks. In academic programs the open use of software and networks are often encouraged and even required as students work to fulfill course requirements. Students then find themselves working in partnership with other students on shared projects in much the same manner as early Hackers. However, at other times the sharing of code and systems is not allowed. Students are typically informed when resources can be shared and when they cannot with little demand for students to make decisions about whether or not it is appropriate to share information or access other's systems. It is unclear tHat academic training environments provide students with an environment where they gain experience applying ethical practices. This paper stems from a discussion of whether students are being offered appropriate supports and experiences to help them make informed ethical decisions when applying information security training. Student expulsions and convictions for hacking activities are on the rise and indicate tHat more needs to be done to protect students (Cox, 2013; Schwartz, 2012). ETHICAL HACKING Courses teaching ethical hacking have been gaining popularity over the past decade with a growing number of schools getting involved. Curriculum related to such courses typically includes related training in ethics and law as well as a call for professors to model appropriate behavior with respect to ethical hacking. Risks related to teaching such classes is often addressed by noting tHat "... students who learn traditionally illegal computing skills in the course of studying computer security will use those skills for the greater good far more often than they will use them illegally or immorally (Pashel, 2007, p. 199)." When focusing on protecting society from the illegal actions of students than this answer is perhaps adequate, however, it is important to note tHat teaching hacking creates two separate risks. There is a risk to society if a student misuses the skills they are taught in addition to the risk to students in the program who may be drawn into illegal activity through the training received. Protecting students is particularly important as they are often unaware of the seriousness of their actions with respect to hacking. A recent study revealed tHat both white-Hat and Black-Hat Hackers understand the consequences of illegal hacking, however, college students do not. The study notes, "Hackers are keenly aware tHat if one were caught engaging in illegal hacking activities, his/her life would be seriously disrupted. This shows the success of the United States government in communicating the seriousness of engaging in illegal hacking activities to the Hacker community. Meanwhile, the college student population is not getting the same message (Young, Zhang, & Prybutok, 2007, p. 285)." There is also a significant concern as to whether students gain the experiences they need to understand how to effectively apply the ethics training tHat is part of ethical hacking programs. …