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A Game Theory-Based System to Defend Against Multimedia Message Service Phishing.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	A Game Theory-Based System to Defend Against Multimedia Message Service Phishing./
Author:	Makeswaran, Shambhavi.
Description:	1 online resource (94 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 85-06, Section: B.
Contained By:	Dissertations Abstracts International85-06B.
Subject:	Computer science. -
Online resource:	click for full text (PQDT)
ISBN:	9798381110401

A Game Theory-Based System to Defend Against Multimedia Message Service Phishing.
Makeswaran, Shambhavi.

A Game Theory-Based System to Defend Against Multimedia Message Service Phishing. - 1 online resource (94 pages)

Source: Dissertations Abstracts International, Volume: 85-06, Section: B.

Thesis (D.Engr.)--The George Washington University, 2024.

Includes bibliographical references

Social engineering attacks are unique from other forms of cyber intrusion because their success is based on human factors that are not easily translatable to traditional cybersecurity defense measures. By manipulating human behavior, attackers can gain access to confidential data and systems. Phishing - a prominent form of such an attack - is an exponentially increasing threat that continually evolves to lure new victims, with millions of scam e-mails, texts, voice calls, and messages being sent yearly. This research introduces a novel system to prevent successful phishing attempts in text messages for phones and other applications. The system developed incorporates game theory principles into modified Naive Bayes and machine learning techniques. This system was tested for accuracy and speed alongside popularly ranked anti-phishing applications for Android by using a set of English-language based messages and phone numbers. The results show that the proposed system achieved accuracy of approximately 99% while the competitors had mean accuracy rates ranging from 91% to 86%. Similarly, the game theory system had mean detection response speeds of approximately 32 milliseconds while the competitors showed mean speeds ranging from 43 to 99 milliseconds. The study's results show that the proposed game theory system has higher accuracy and speed than that of competitors showing promise in the use of game theory in training and deployment. This study can be used to create future anti-phishing models in a variety of settings.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024

Mode of access: World Wide Web

ISBN: 9798381110401Subjects--Topical Terms:

573171
Computer science.
Subjects--Index Terms:

Social engineeringIndex Terms--Genre/Form:

554714
Electronic books.

A Game Theory-Based System to Defend Against Multimedia Message Service Phishing.
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504 $a Includes bibliographical references
520 $a Social engineering attacks are unique from other forms of cyber intrusion because their success is based on human factors that are not easily translatable to traditional cybersecurity defense measures. By manipulating human behavior, attackers can gain access to confidential data and systems. Phishing - a prominent form of such an attack - is an exponentially increasing threat that continually evolves to lure new victims, with millions of scam e-mails, texts, voice calls, and messages being sent yearly. This research introduces a novel system to prevent successful phishing attempts in text messages for phones and other applications. The system developed incorporates game theory principles into modified Naive Bayes and machine learning techniques. This system was tested for accuracy and speed alongside popularly ranked anti-phishing applications for Android by using a set of English-language based messages and phone numbers. The results show that the proposed system achieved accuracy of approximately 99% while the competitors had mean accuracy rates ranging from 91% to 86%. Similarly, the game theory system had mean detection response speeds of approximately 32 milliseconds while the competitors showed mean speeds ranging from 43 to 99 milliseconds. The study's results show that the proposed game theory system has higher accuracy and speed than that of competitors showing promise in the use of game theory in training and deployment. This study can be used to create future anti-phishing models in a variety of settings.
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