This dataset is benchmark dataset we use in our research for Intrusion Detection System.

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894 Views

Spectroreflectometric techniques for dactiloscopy and optical nail diagnostics are proposed and aproved on "DATACOLOR 3890"-based measuring system.

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189 Views

OWL file of PLATONT onotology and a sysml file of a reconstrcted architecure of a Raspberry-pi platform.

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142 Views

This Data provides a report on the number of Cyberattacks received by Zapaat Search Engine - the server being hosted in India. A list of offending IP addresses is also provided.

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492 Views

This dataset provides the source data for the figures and tables found in the paper "Elliptic Curve Lightweight Cryptography: a Survey."

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433 Views

We propose a general framework for using deep learning to detect vulnerabilities, named SySeVR. For evaluate the SySeVR, we collect the Semantics-based Vulnerability Candidate (SeVC) dataset, which contains all kinds of vulnerabilities that are available from the National Vulnerability Database (NVD) and the Software Assurance Reference Dataset (SARD).

 

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684 Views

The dataset contains several publicly available Bug Bounty Program policy documents collected from the internet.

These were used to develop the theory of Bug Bounty Program practices.

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145 Views

This database consists of the data used for the 2018 IEEE Signal Processing Cup.  This iteration of the Signal Processing Cup was a forensic camera model identification challenge.  Teams of undergraduate students were tasked with building a system capable of determining type of camera (manufacturer and model) that captured a digital image without relying on metadata.

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This dataset consists of both full images and image blocks captured by a variety of different cameras.  These images are available for research purposes.

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489 Views

Expansion of wireless body area networks (WBANs) applications such as health-care, m-banking, and others  has lead to vulnerability of privacy and personal data. An effective and unobtrusive natural method of authentication is therefore a necessity in such applications. Accelerometer-based gait recognition has become an attractive solution, however, continuous sampling of accelerometer data reduces the battery life of wearables. This paper investigates the usage of received signal strength indicator (RSSI) as a source of gait recognition.

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488 Views

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