This dataset, titled "Survival Analysis Dataset for automobile IDS," was created to support the research in the following paper: Han, Mee Lan, Byung Il Kwak, and Huy Kang Kim. "Anomaly intrusion detection method for vehicular networks based on survival analysis." Vehicular Communications 14 (2018): 52-63.
As in the real world’s criminal investigation, cyber criminal profiling is important to attribute cyber attacks. Every cyber crime committed by the same hacker or hacking group has unique characteristics such as attack purpose, attack methods, and target’s profile. Therefore, a complete analysis of the hacker’s activities can give investigators hard evidence to attribute attacks and unveil criminals. To foster further research, we release the web-hacking case dataset we have collected.
We demonstrate a PLC-based O-Band 8-channel cascaded AWG design. The manufactured prototypes achieve 400 GHz channel spacing while simultaneously reaching a 1 dB bandwidth of 300 GHz and a crosstalk below -40 dB. The measured fiber-to-fiber loss is as low as 2.7 dB and the PDL is below 0.2 dB. We determine a low thermal drift of ‑1.8 GHz/Kelvin.
A practical and accurate method for coherent optical transmitter assessment is crucial. Compared with conventional receiver-based methods which rely on expensive high-speed oscilloscopes to capture signal waveforms, spectrum analyzer-based approaches offer a low-cost alternative in which the stimulus plays an important role.
Dataset from the application of RANVDS in a controlled testbed with 2G-5G private networks built with opensource stacks and software defined radios.
We aim to implement a physics based modeling approach for spectral hole burning (SHB) in erbium-doped fiber amplifiers. The modeling approach focuses on different groups of erbium ions. These erbium ion groups are simulated with independent gain contributions in a rate equation model and are characterized by erbium ion group specific absorption and emission cross section spectra. In this dataset I provide the Gaussian parameters for my estimations of erbium ion group specific cross section spectra.
This dataset presents a simulated LoRa-based Vehicle-to-Vehicle (V2V) communication dataset, generated using a custom-built simulator designed to model long-range, low-power wireless links between moving vehicles. The dataset captures time-stamped per-packet communication records under varying mobility and channel conditions, enabling reproducible research on vehicular networking, link reliability, and delay performance over LoRa technology.
This dataset conforms comprehensive information on ISAC systems, emphasizing their active/emerging specifications and standards, as well as their feasibility analysis within the emerging Internet of Consumer Electronics ecosystem.
WASD (Wireless Anomaly Signal Dataset) is designed for anomaly signal detection in wireless signals within fixed urban scenarios. It combines real-world signals measured across 19 LTE and 5G bands with simulated anomalous signals. This dataset is suitable for training various object detection networks and developing robust deep learning models for accurate and efficient anomaly detection in real-world environments.
Field measurements from an over-river LTE link across the Parramatta River. The serving macro cell transmits at 2.6598 GHz (20 MHz channel), mounted ~35 m above ground on a ~10 m-high building (−33.82528°, 151.09172°). A four-element log-periodic receive array sits ~420 m away, elements vertical and tilted 27° toward the water with feed-point heights 1.95, 1.80, 1.65, 1.50 m. Each antenna feeds a 10 dB LNA into an FMCOMMS5/Zynq 4-channel SDR. We used MATLAB to extract per-antenna LTE KPIs (RSRP, RSSI, RSRQ).
