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From Mitnick to Modern Database Threats: Evolution of Social Engineering Tactics and Their Impact on Data Integrity.

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Title: From Mitnick to Modern Database Threats: Evolution of Social Engineering Tactics and Their Impact on Data Integrity.
Authors: Ukwadinachi, Ndubuisi1 (AUTHOR) ndubuisi.uk@gmail.com
Source: Journal of Technology Studies. Spring2025, Vol. 50 Issue 1, p14-29. 16p.
Subject Terms: Social engineering (Fraud), Database security, Internet security, Computer hackers, Risk management in business, Data integrity, Cognitive bias
Abstract: As technology continues to advance, database systems face growing threats from social engineering attacks that exploit human vulnerabilities. This work traces the evolution of social engineering methods, beginning with Kevin Mitnick's pioneering strategies and progressing to the highly sophisticated, AI-driven tactics used today. By examining major incidents of social engineering in recent years, this research highlights the significant impact these tactics have on data integrity and database security. It also evaluates modern social engineering techniques, including spear-phishing, vishing, and baiting, reverse social engineering, water-holing, quid pro quo, tailgating, and assesses the effectiveness of current mitigation techniques. Despite advancements in security measures, attackers continue to refine their approaches, exposing gaps in existing defenses. This work also explores a detailed list of possible directions to strengthen the resilience against these threats. It highlights the need for integrated cyber and database security strategies that combines technical and human safeguards to overcome future incidents. Overall, the work provides a roadmap for strengthening defenses and ensuring long-term resilience against social engineering attacks. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Technology Studies is the property of Epsilon Pi Tau Incorporated and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
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  Data: From Mitnick to Modern Database Threats: Evolution of Social Engineering Tactics and Their Impact on Data Integrity.
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  Data: <searchLink fieldCode="AR" term="%22Ukwadinachi%2C+Ndubuisi%22">Ukwadinachi, Ndubuisi</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> ndubuisi.uk@gmail.com</i>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Technology+Studies%22">Journal of Technology Studies</searchLink>. Spring2025, Vol. 50 Issue 1, p14-29. 16p.
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  Data: <searchLink fieldCode="DE" term="%22Social+engineering+%28Fraud%29%22">Social engineering (Fraud)</searchLink><br /><searchLink fieldCode="DE" term="%22Database+security%22">Database security</searchLink><br /><searchLink fieldCode="DE" term="%22Internet+security%22">Internet security</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+hackers%22">Computer hackers</searchLink><br /><searchLink fieldCode="DE" term="%22Risk+management+in+business%22">Risk management in business</searchLink><br /><searchLink fieldCode="DE" term="%22Data+integrity%22">Data integrity</searchLink><br /><searchLink fieldCode="DE" term="%22Cognitive+bias%22">Cognitive bias</searchLink>
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  Data: As technology continues to advance, database systems face growing threats from social engineering attacks that exploit human vulnerabilities. This work traces the evolution of social engineering methods, beginning with Kevin Mitnick's pioneering strategies and progressing to the highly sophisticated, AI-driven tactics used today. By examining major incidents of social engineering in recent years, this research highlights the significant impact these tactics have on data integrity and database security. It also evaluates modern social engineering techniques, including spear-phishing, vishing, and baiting, reverse social engineering, water-holing, quid pro quo, tailgating, and assesses the effectiveness of current mitigation techniques. Despite advancements in security measures, attackers continue to refine their approaches, exposing gaps in existing defenses. This work also explores a detailed list of possible directions to strengthen the resilience against these threats. It highlights the need for integrated cyber and database security strategies that combines technical and human safeguards to overcome future incidents. Overall, the work provides a roadmap for strengthening defenses and ensuring long-term resilience against social engineering attacks. [ABSTRACT FROM AUTHOR]
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  Label:
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  Data: <i>Copyright of Journal of Technology Studies is the property of Epsilon Pi Tau Incorporated and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.21061/jts.438
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      – Code: eng
        Text: English
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        PageCount: 16
        StartPage: 14
    Subjects:
      – SubjectFull: Social engineering (Fraud)
        Type: general
      – SubjectFull: Database security
        Type: general
      – SubjectFull: Internet security
        Type: general
      – SubjectFull: Computer hackers
        Type: general
      – SubjectFull: Risk management in business
        Type: general
      – SubjectFull: Data integrity
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      – SubjectFull: Cognitive bias
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              Text: Spring2025
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