加重移動平均バイアスの修正方法に基づくGNSSの偽造信号の検出
Chuanyu Wu1,2, Yuanfa Ji3,4, Xiyan Sun5,6
1Information and Communication School, Guilin University of Electronic Technology, Guilin, 541004, China.
Scientific reports
|August 22, 2025
まとめ
新しい信号品質モニタリング (SQM) メトリック,多点傾斜差 (MuSD) と多点傾斜差平均 (MuSDA) は,スプーフィングの侵入検出率を大幅に高めています. これらの新しい方法は,加重移動平均バイアス修正 (WMA-BC) と組み合わせて,既存の技術よりも優れた性能を提供します.
科学分野:
- ナビゲーションシステムのセキュリティ
- シグナル処理
- サイバーセキュリティ
背景:
- スプーフィングの侵入は,虚偽の情報を送信することによって,ユーザーのセキュリティに重大な脅威をもたらします.
- 既存の信号品質モニタリング (SQM) メトリックは,複雑な偽造信号相組合せに対する検出率が低下しています.
研究 の 目的:
- 新しいSQMメトリックを開発し,不正侵入の検出とカバーを強化します.
- 改善されたメトリックのポスト処理のためのバイアス補正アルゴリズムを導入する.
主な方法:
- 多点傾斜差 (MuSD) と多点傾斜差平均 (MuSDA) のメトリックを提案するために,相関偏移検出機能を活用する.
- 後期処理のための加重移動平均バイアス修正 (WMA-BC) アルゴリズムの実装.
- テキサス・スプーフィング・テスト・バッテリー (TEXBAT) データセットを用いた比較実験.
主要な成果:
- MuSDとMuSDAのメトリックは,さまざまなコードとキャリアフェーズオフセットで96.1%と95.8%の検出カバーを達成しました.
- WMA-BCアルゴリズムは,移動平均 (MA) と移動変数 (MV) の方法と比較して,受信機の動作特性 (ROC) の検出率と曲線下領域 (AUC) の有意な改善を示した.
- MuSDAとMuSDのメトリックは,TEXBATデータセットの検出率で既存のメトリックを11%から97%上回りました.
結論:
- 提案されている MuSD と MuSDA のメトリックは,WMA-BC アルゴリズムとともに,スプーフィングの侵入を検出する上で実質的な進歩を提供します.
- これらの新しいアプローチは,現在のSQM技術の限界に対処し,検出率とカバー率を大幅に改善します.
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