Artificial Neural Networks for detecting Intrusions: A survey

Mahmoud, Loreen; N, Raja Praveen K

doi:10.1109/icrcicn50933.2020.9296181

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Cited by 3 publications

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“…In the creation of anomaly-based systems, Advanced analytics have proven especially effective. Its disadvantage is that it sometimes sets off too many false alarms [6][7][8][9][10][11][12][13].…”

Section: Idsmentioning

confidence: 99%

Review analysis of effect of deep learning approaches in development of reliable IDS system

2023

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Now days we are in the era where all the routine activities whether it is financial, medical, shopping, travel, food lodging everything is facilitates by the applications or apps runs by internet. It becomes essential part of our life. But with the ease always comes with difficulty. Here attacks are very common on the internet. Multiple IPS and IDS systems, firewalls, antivirus software's are used to prevent the data from attacks, but these are not enough. To make the cyber security more powerful deep learning approaches are combined with the cyber security approaches. In this article we have discussed different methods and developments in intrusion detection systems in the recent years.

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