This dataset is associated with the injection of false data into solar-powered insecticidal lamps, primarily aimed at reporting false data injection attacks on the Solar insecticidal lamps-Internet of Things (SIL-IoTs). The data was collected on the campus of Nanjing Agricultural University, gathering two types of data from the insecticidal lamp device of Chengdu Biang Technology Co., Ltd. and our team's self-developed insecticidal lamp device (insect count and sound signal data, respectively). The insect count data is in text format and has not been processed. The sound signal data has a frequency of 44100Hz, a single channel, and a bit depth of 16 bits. The original sound was sliced to remove silent segments, and after retaining the sound samples (each sample 0.1s), the MFCC features of each sample were extracted and saved as .wav files. This dataset can be used for research on false data injection attacks on SIL-IoTs, detection of insect counting, as well as modeling and prediction studies of insect counts.
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