Summary and Further Challenges
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This last chapter concludes this monograph by providing a closing statement regarding the advantage of using deep learning models for IDS purposes and why those models can improve IDS performance. Afterward, the overview of challenges and future research directions in deep learning applications for IDS is suggested.
KeywordsDeep Learning Models Good Anomaly Detection Controller Area Network (CAN) Image Recognition Field Intrusion Prevention System (IPS)
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