Earticle

초록

영어

Decentralized apps are now much more accessible thanks to AI-powered in-app support. Submenu after submenu is not required, nor is it necessary to guess what to click next. Come on, though, these helpful AI features bring with them some new problems. Code injection, data poisoning, and tricks that change what you see or click can all be successful. Prompt injection is a technique that attackers can use to give the AI malicious commands directly. In fact, this study explores the mechanisms behind these attacks. It looks at real-world situations, talks to security professionals, and sorts through the results of real security audits. Most problems show up directly in front of the user interface, whether it's malicious scripts or phony prompts.

목차

Abstract
I. INTRODUCTION (HEADING 1)
A. This Paper's Contributions
II. LITERATURE REVIEW
III. METHODOLOGY
A. Data collection:
B. Threat Identification Framework:
C. Expert Validation:
D. Interface Security Audits:
E. Mitigation Strategy Synthesis:
F. Audit-relevant dApps
IV. SUMMARY OF EXPERT EVALUATIONS
V. IDENTIFIED VULNERABILITIES
A. Audit Observations
B. Effectiveness of Mitigation Strategies
VI. DISCUSSION
A. Severity of threats at the interface level
B. Complexity of risks in decentralized systems
C. The trade-off between usability and security
D. The correlation between expert opinions and auditresults
E. A holistic approach to security
VII. CONCLUSION
REFERENCES

저자

• Muhammad Farooq [ Department of Computer Science Superior University Lahore, 54000, Pakistan ]
• Muhammad Waseem Iqbal [ Department of Computer Science Superior University Lahore, 54000, Pakistan ]
• Muhammad Ibrar [ Department of Computer & Mathematical Sciences New Mexico Highlands University, Las Vegas, USA ]
• Muhammad Haseeb Khalid [ GW Haden Solar PV IPP Project China Energy CEEC, KSA ]
• Roshaan Fatima [ School of Computing, Horizon University College, Ajman, UAE ]
• Reyaz Ahmad [ School of General Education, Horizon University College, Ajman, UAE ]

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