IEEE: Challenges and Solutions for Emerging Artificial Intelligence Cybersecurity

Synthetic reality

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Artificial intelligence can generate hyper-realistic images and videos showing people doing or Say things they have never done or said. Such “deep fake technology” will make the spread of false information more difficult to detect.

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IEEE senior member Carmelo José Albanez Bastos Filho said that after training, the artificial intelligence algorithm can recognize deep Patterns and characteristics unique to pseudotechnology. These algorithms analyze visual and audio characteristics, looking for deviations or irregularities from normal patterns

Data Leakage

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does not need to appear. The information you enter into the chatbot can be used to train it. This may cause the model to reveal sensitive or private information.

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Regarding the issue of chatbot data privacy, IEEE member Professor Wang Qiqi pointed out: "Storage sensitive data Being in a private environment can effectively prevent data from being added to the public global database."

False data

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Biased, inaccurate or false data can be injected into artificial intelligence models, resulting in erroneous results and flawed systems. AI threat detection technology is already being used in the real world to retrain spam filters.

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Raul Colcher, a lifelong senior member of IEEE, said: "This form of attack can be more Strict data filtering and review mechanisms ensure that model learning and training are free from inappropriate interference. Advanced filtering, monitoring and manual supervision systems have countered this."

Advanced Phishing

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Phishing scams refer to the use of fraudulent emails to trick people or businesses into sending money or Share sensitive data. The emergence of artificial intelligence has made it easier to create more realistic and deceptive emails and voicemails

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IEEE member Yale Fox mentioned: "Organizations can consider adopting advanced threat detection technologies to promptly detect and block malicious attempts. These technologies leverage machine learning and artificial intelligence to identify and flag potential phishing attempts."

Avoid system protection

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Artificial intelligence developers usually A protective mechanism will be established to prevent their creations from producing offensive or illegal content

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IEEE Member Rebecca Herold said: "There will always be people trying to break the system. The best way to stop them is to develop more rigorously and then comprehensively test large language model algorithms."

AI VS AI

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People are using artificial intelligence to fight other artificial intelligence systems, through the use of adversarial artificial intelligence, etc. Technology to deceive systems that often have critical security requirements

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IEEE senior member Amol Gulhane said: "By exposing the model to various attack scenarios during training, it will become more sophisticated and able to identify and reject malicious input."

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