Dataset Information

Bogazici University distributed denial of service dataset.

ABSTRACT: Distributed Denial of Service (DDoS) attacks is one of the most troublesome intrusions for online services on the internet. In general DDoS attacks are divided into two categories as bandwidth depletion and resource depletion attacks. We generate resource depletion-type DDoS attacks on the campus network of Bo?aziçi University and recorded the ongoing traffic from the backbone router's mirrored port. We generate TCP SYN, and UDP flooding packets using Hping3 traffic generator software by flooding. This dataset includes attack-free user traffic and attack traffic, which is suitable for evaluating network-based DDoS detection methods. Attacks are towards one victim server connected to the backbone router of the campus. Attack packets have randomly generated spoofed source IP addresses. We removed payloads of packets and anonymized the source IP addresses of legitimate users for the confidentiality of legitimate users.

SUBMITTER: Erhan D

PROVIDER: S-EPMC7452651 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature

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Boğaziçi University distributed denial of service dataset.

Erhan Derya D Anarım Emin E

Data in brief 20200817

Distributed Denial of Service (DDoS) attacks is one of the most troublesome intrusions for online services on the internet. In general DDoS attacks are divided into two categories as bandwidth depletion and resource depletion attacks. We generate resource depletion-type DDoS attacks on the campus network of Boğaziçi University and recorded the ongoing traffic from the backbone router's mirrored port. We generate TCP SYN, and UDP flooding packets using Hping3 traffic generator software by floodin ...[more]

PMID: 32904236

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Project description:The data presented in this data article were collected at three points in the 2012-2013 academic year; Fall 2012, Spring 2013, and Summer 2013 from undergraduate students enrolled in an introductory health education course at a large university in the United States. The data regarding undergraduate students' perceptions of and experiences with the campus emergency notification system were ascertained using a self-administered online-delivered survey instrument. The data included in the Mendeley Data repository affiliated with this data article encompass closed- and open-ended responses from 746 undergraduate students. Closed-ended questions included items based on central constructs from Technology Acceptance Model research-perceived usefulness, perceived ease of use, attitudes toward use, and behavioral intention. Survey questions also assessed students' actual use of emergency notification messages, students' perceived self-efficacy to respond to future potential emergency notifications, and demographics and technology use characteristics. This research team asked open-ended questions to collect students' ideas for systematic improvement in their own words. Descriptive statistics for demographic variables, participant characteristic variables, and scale variables were conducted in SPSS 27 and are provided in tables. The open-ended question response frequencies were also calculated in SPSS 27 and are provided within a supplemental PDF. To date, no data pertaining to an institution of higher education's emergency notification system are published for open access use. This article provides open access data and surveys that campus emergency planners, researchers, and health education specialists can use to inform emergency communication plans, improve the content of critical campus alert messages, structure future emergency notification studies, and frame future emergency notification system evaluations. This research team anticipates these data will help campus emergency personnel craft more effective messages and optimize their channel mixture to make emergency notifications reach and resonate with students in situations when minutes matter. The data for this article are hosted in a .csv file for widespread access in the following Mendeley Data repository: https://data.mendeley.com/datasets/6jdwfbwzk5/1.

Dataset Information

Bogazici University distributed denial of service dataset.

Publications

Boğaziçi University distributed denial of service dataset.

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