*.pcap (zip)

This dataset is used for the identification of video in the internet traffic. The dataset was prepared by using Wireshark. It comprises of two types of traffic data, VPN (Virtual Private Network) or encrypted traffic data and Non-VPN or unencrypted traffic. The dataset consist of the data streams (.pcap) of 43 videos. Each video is played 50 times in both VPN and Non-VPN mode. The streams were obtained by setting-up a dummy client on a PC which plays a YouTube video and Wireshark is used to capture the internet traffic.

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533 Views

This dataset is used for the identification of video in the internet traffic. The dataset was prepared by using Wireshark. It comprises of two types of traffic data, VPN (Virtual Private Network) or encrypted traffic data and Non-VPN or unencrypted traffic. The dataset consist of the data streams (.pcap) of 43 videos. Each video is played 50 times in both VPN and Non-VPN mode. The streams were obtained by setting-up a dummy client on a PC which plays a YouTube video and Wireshark is used to capture the internet traffic.

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1425 Views

Dataset contains generated traffic from single requests towards DNS and DNS over Encryption servers as well as network traffic generated by browsers towards multiple DNS over HTTPS servers. The dataset contains also logs and csv files with queried domains. The IP addresses of the DoH servers are provided in the readme so that users can easily label the data extracted from pcap files. The dataset may be used for Machine Learning purposes (DNS over HTTPS identification).

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618 Views

Smart speakers and voice-based virtual assistants are core components for the success of the IoT paradigm. Unfortunately, they are vulnerable to various privacy threats exploiting machine learning to analyze the generated encrypted traffic. To cope with that, deep adversarial learning approaches can be used to build black-box countermeasures altering the network traffic (e.g., via packet padding) and its statistical information.

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804 Views

This dataset is a sample of the dataset used for the paper "A network analysis on cloud gaming:Stadia, GeForce Now and PSNow" and rappresent samples of the gaming sessions.

To access further data, please contact Gianluca Perna at: gianluca.perna@polito.it

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472 Views

Due to the large number of vulnerabilities in information systems and the continuous activity of attackers, techniques for malicious traffic detection are required to identify and protect against cyber-attacks. Therefore, it  is important to intentionally operate a cyber environment to be invaded and compromised in order to allow security professionals to analyze the evolution of the various attacks and exploited vulnerabilities.

This dataset includes 2016, 2017 and 2018 cyber attacks in the HoneySELK environment.

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1443 Views

We compared the performances of an LwM2M device management protocol implementation and FIWARE’s Ultralight 2.0. In addition to demonstrating the viability of the proposed approach, the obtained results point to mixed advantages/disadvantages of one protocol over the other.

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325 Views

Message Queuing Telemetry Transport (MQTT) protocol is one of the most used standards used in Internet of Things (IoT) machine to machine communication. The increase in the number of available IoT devices and used protocols reinforce the need for new and robust Intrusion Detection Systems (IDS). However, building IoT IDS requires the availability of datasets to process, train and evaluate these models. The dataset presented in this paper is the first to simulate an MQTT-based network. The dataset is generated using a simulated MQTT network architecture.

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11957 Views

The dataset contains a set of voip flows (with different codecs) captured in fixed/fixed and fixed/mobile LTE-A enviroment. 

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665 Views