{"id":"2311.08000","title":"LiPar: A Lightweight Parallel Learning Model for Practical In-Vehicle Network Intrusion Detection","url":"https://codeofpaper.com/paper/2311.08000","arxiv_url":"https://arxiv.org/abs/2311.08000","published":"2023-11-14","code":"community","best":{"full_name":"wangkai-tech23/LiPar","url":"https://github.com/wangkai-tech23/LiPar","tier":"high_confidence_community","stars":26,"license":null,"framework":null,"language":"Python","last_commit":"2025-11-22T01:30:54"},"most_starred_community":null,"implementations":[{"full_name":"wangkai-tech23/LiPar","url":"https://github.com/wangkai-tech23/LiPar","tier":"high_confidence_community","stars":26,"license":null,"framework":null,"language":"Python","last_commit":"2025-11-22T01:30:54"}],"possible_matches":0}