Identifying Malicious Activities From AIS Data

In the experiment, three sets of algorithms are used to detect anomalies in the AIS data.

Name		Name	Last commit message	Last commit date
Latest commit History 233 Commits
.gitignore		.gitignore
LICENSE		LICENSE
README.md		README.md
analyze_vessel_cargo.yaml		analyze_vessel_cargo.yaml
analyze_vessel_fishing.yaml		analyze_vessel_fishing.yaml
analyze_vessel_passenger.yaml		analyze_vessel_passenger.yaml
analyze_vessel_tanker.yaml		analyze_vessel_tanker.yaml
analyze_vessel_type.yaml		analyze_vessel_type.yaml
calc_stats_cargo.yaml		calc_stats_cargo.yaml
calc_stats_fishing.yaml		calc_stats_fishing.yaml
calc_stats_passenger.yaml		calc_stats_passenger.yaml
calc_stats_tanker.yaml		calc_stats_tanker.yaml
command_line.py		command_line.py
extract.py		extract.py
extract_class_a_vessel_type.yaml		extract_class_a_vessel_type.yaml
extract_type_of_mobile.yaml		extract_type_of_mobile.yaml
f_analyze.py		f_analyze.py
fun_logger.py		fun_logger.py
main.py		main.py
mfile.py		mfile.py
plot.py		plot.py
plotting.py		plotting.py
plotting.yaml		plotting.yaml
polygon.geojson		polygon.geojson
pro_yml.py		pro_yml.py
run_calc_stats.sh		run_calc_stats.sh
run_multiple_analyze.sh		run_multiple_analyze.sh
run_multiple_extract.sh		run_multiple_extract.sh
run_multiple_extract_mobile.sh		run_multiple_extract_mobile.sh
stats_ais copy.py		stats_ais copy.py
stats_ais.py		stats_ais.py

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