Dear Wasim,

Look over the following:

www.researchgate.net/post/Latest-labeled-databases-available-for-intrusion-detection

https://www.researchgate.net/post/How_do_I_get_CSE-CIC-IDS2018_in_CSV_format

Mar 02, 2021 · The cleaned dataset of CIC-IDS-2017 and CSE-CIC-IDS-2018 are downloadable in both feather and parquet format for easy and fast usage for machine learning purposes.

Why do we need CSE-CIC ids2018 dataset?

For this reason, datasets such as CSE-CIC-IDS2018 were created to train predictive models on network-based intrusion detection. These datasets are not meant to serve as repositories for signature-based detection systems, but rather to promote research on anomaly-based detection through various machine learning approaches.

A survey and analysis of intrusion detection models based ...

journalofbigdata.springeropen.com/articles/10.1186/s405 …

Who is the creator of cicids2017 and CSE-cic-ids2018?

Both CICIDS2017 and CSE-CIC-IDS2018 are IDS-based datasets and they have been created by the Canadian Institute for Cybersecurity (CIC). Moreover, they contain benign traffic and seven different attack scenarios: Brute-force, Heartbleed, Botnet, DoS, DDoS, Web attacks, and infiltration of the network from inside.

How do I get CSE-CIC-IDS2018 in CSV format?

www.researchgate.net/post/How_do_I_get_CSE-CIC-IDS2 …

What does an intrusion detection system ( IDs ) do?

Intrusion Detection System (IDS) Last Updated : 16 Jan, 2020 An Intrusion Detection System (IDS) is a system that monitors network traffic for suspicious activity and issues alerts when such activity is discovered. It is a software application that scans a network or a system for harmful activity or policy breaching.

Intrusion Detection System (IDS) - GeeksforGeeks

www.geeksforgeeks.org/intrusion-detection-system-ids/

Which is the most recent intrusion detection dataset?

CSE-CIC-IDS2018 contains about 16,000,000 instances collected over the course of ten days. It is the most recent intrusion detection dataset that is big data, publicly available, and covers a wide range of attack types. This multi-class dataset has a class imbalance, with roughly 17% of the instances comprising attack (anomalous) traffic.

A survey and analysis of intrusion detection models based ...

journalofbigdata.springeropen.com/articles/10.1186/s405 …

Len Leonid Mizrah thank you so much for your comment,

I was asking if there is a new dataset that came after CSE-CIC-IDS2018. was

This may come as a surprise, but you don't need artificial intelligence or machine learning to make a perfectly effective IDS.

An analysis of malicious queries reveals that there are only about 180 queries used by 99% of hackers. A simple string-recognition algorithm is all you need.

That's how our IDS/IPS works, and it hasn't been fooled in the 10 years it's been running.

Mark Sitkowski please throw some light on the string recognition algorithm and are there any documents related to the 180 different types of malicious queries?

I tried to post some code, to illustrate the point, but Researchgate choked on it.

If you email me at [email protected] I'll give you the information

This is a little out of date, and we've learned about 100 more hack queries since then, but the fundamentals are there, and it may prove to be amusing.

Article What's An IPS?

Mark Sitkowski

Thank you very much for sharing valuable information

Kind regards