Security
This dataset is benchmark dataset we use in our research for Intrusion Detection System.
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3585 Views
Spectroreflectometric techniques for dactiloscopy and optical nail diagnostics are proposed and aproved on "DATACOLOR 3890"-based measuring system.
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252 Views
OWL file of PLATONT onotology and a sysml file of a reconstrcted architecure of a Raspberry-pi platform.
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182 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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622 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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588 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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1042 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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202 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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773 Views
This dataset is composed of the following benchmarks:
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541 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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596 Views