Arun Ross
Biographic Data
| ID | 6542396 |
|---|---|
| NAME | Arun Ross |
| GIVEN NAMES | Arun |
| FAMILY NAME | Ross |
| SIGNATURE | ROSS A |
| AFFILIATIONS | Michigan State University |
| ORCID | 0000-0001-8850-3013 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 2 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Distinguishing Violent and Non-violent Criminal Extremists Based on Risk and Protective Factors
Trust in AI and Its Role in the Acceptance of AI Technologies
As AI-enhanced technologies become common in a variety of domains, there is an increasing need to define and examine the trust that users have in such technologies. Given the progress in the development of AI, a correspondingly sophisticated understanding of trust in the technology is required. This paper addresses this need by explaining the role of trust in the intention to use AI technologies. Study 1 examined the role of trust in the use of A…
Trust and ethics in AI
An Exploratory Analysis of the Characteristics of Ideologically Motivated Cyberattacks
Web defacement is a form of hacking that involves altering the content of a website, resulting in repairs to the website code, loss of revenue, internal loss of productivity, and reputational damage. Limited research has examined the frequency of web defacements, the factors that distinguish them from other hacking motives, and the extent to which the correlates mirror research on physical acts of ideologically-motivated crime. The current study …
Using Machine Learning to Examine Cyberattack Motivations on Web Defacement Data
Social scientists have long been interested in the motives of hackers, particularly financially motivated attackers. This article analyzes web defacements, a less studied and more public form of cyberattack, in which the content of a web page is deliberately substituted with unwanted text and graphics chosen by the perpetrator. These attacks use a variety of strategies and are performed for a variety of motives, including political and ideologica…
An Exploratory Analysis of the Characteristics of Ideologically Motivated Cyberattacks
Web defacement is a form of hacking that involves altering the content of a website, resulting in repairs to the website code, loss of revenue, internal loss of productivity, and reputational damage. Limited research has examined the frequency of web defacements, the factors that distinguish them from other hacking motives, and the extent to which the correlates mirror research on physical acts of ideologically-motivated crime. The current study …
Using Machine Learning to Examine Cyberattack Motivations on Web Defacement Data
Social scientists have long been interested in the motives of hackers, particularly financially motivated attackers. This article analyzes web defacements, a less studied and more public form of cyberattack, in which the content of a web page is deliberately substituted with unwanted text and graphics chosen by the perpetrator. These attacks use a variety of strategies and are performed for a variety of motives, including political and ideologica…
An Exploratory Analysis of the Characteristics of Ideologically Motivated Cyberattacks
Web defacement is a form of hacking that involves altering the content of a website, resulting in repairs to the website code, loss of revenue, internal loss of productivity, and reputational damage. Limited research has examined the frequency of web defacements, the factors that distinguish them from other hacking motives, and the extent to which the correlates mirror research on physical acts of ideologically-motivated crime. The current study …
Trust in AI and Its Role in the Acceptance of AI Technologies
As AI-enhanced technologies become common in a variety of domains, there is an increasing need to define and examine the trust that users have in such technologies. Given the progress in the development of AI, a correspondingly sophisticated understanding of trust in the technology is required. This paper addresses this need by explaining the role of trust in the intention to use AI technologies. Study 1 examined the role of trust in the use of A…
Trust and ethics in AI
Distinguishing Violent and Non-violent Criminal Extremists Based on Risk and Protective Factors
Computer Science (4 works) · Cybercrime and Law Enforcement Studies (3 works) · Psychology (3 works) · Artificial Intelligence (2 works) · Computer security (2 works) · Ethics and Social Impacts of AI (2 works) · Exploratory research (2 works) · Hacker (2 works) · Knowledge management (2 works) · Law (2 works)