Abstract
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.
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Kim, K., Aminanto, M.E., Tanuwidjaja, H.C. (2018). Summary and Further Challenges. In: Network Intrusion Detection using Deep Learning. SpringerBriefs on Cyber Security Systems and Networks. Springer, Singapore. https://doi.org/10.1007/978-981-13-1444-5_7
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DOI: https://doi.org/10.1007/978-981-13-1444-5_7
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