AI Bibliography
AI Bibliography |
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Yu, N., Tuttle, Z., Thurnau, C. J., & Mireku, E. 2020, Ai-powered gui attack and its defensive methods. Paper presented at Proceedings of the 2020 ACM Southeast Conference. |
| Resource type: Proceedings Article BibTeX citation key: Yu2020a View all bibliographic details  |
Categories: Artificial Intelligence, Computer Science, Engineering, General, Military Science Subcategories: Cyber, Deep learning, Machine learning, Psychology of human-AI interaction Creators: Mireku, Thurnau, Tuttle, Yu Publisher: Collection: Proceedings of the 2020 ACM Southeast Conference |
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Since the first Graphical User Interface (GUI) prototype was invented in the 1970s, GUI systems have been deployed into various personal computer systems and server platforms. Recently, with the development of artificial intelligence (AI) technology, malicious malware powered by AI is emerging as a potential threat to GUI systems. This type of AI-based cybersecurity attack, targeting at GUI systems, is explored in this paper. It is twofold: (1) A malware is designed to attack the existing GUI system by using AI-based object recognition techniques. (2) Its defensive methods are discovered by generating adversarial examples and other methods to alleviate the threats from the intelligent GUI attack. The results have shown that a generic GUI attack can be implemented and performed in a simple way based on current AI techniques and its countermeasures are temporary but effective to mitigate the threats of GUI attack so far.
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