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+have+become+increasingly+popular+in+various+applications%252C+especially+with+the+emergence+of+6G+systems+and+networks.+However%252C+their+widespread+adoption+has+also+led+to+concerns+regarding+security+vulnerabilities%252C+making+the+development+of+reliable+intrusion+detection+systems+(IDS)+essential+for+ensuring+UAVs+safety+and+mission+success.+This+paper+presents+a+new+IDS+for+UAV+networks.+A+binary-tuple+representation+was+used+for+encoding+class+labels%252C+along+with+a+deep+learning-based+approach+employed+for+classification.+The+proposed+system+enhances+the+intrusion+detection+by+capturing+complex+class+relationships+and+temporal+network+patterns.+Moreover%252C+a+cross-correlation+study+between+common+features+of+different+UAVs+was+conducted+to+discard+correlated+features+that+might+mislead+the+classification+of+the+proposed+IDS.+The+full+study+was+carried+out+using+the+UAV-IDS-2020+dataset%252C+and+we+assessed+the+performance+of+the+proposed+IDS+using+different+evaluation+metrics.+The+experimental+results+highlighted+the+effectiveness+of+the+proposed+multiclass+classifier+model+with+an+accuracy+of+95%2525.&cdnurl=https%3a%2f%2fth.bing.com%2fth%2fid%2fR.36cf05091dd8d6e6ae6ef9968b3f6cb2%3frik%3dexPTZIJ6g3gdlg%26pid%3dImgRaw%26r%3d0&exph=630&expw=1200&q=Enhanced+Intrusion-Detection&FORM=IRPRST&ck=F7A4834B9564C9B69BDEF7822B6407E5&selectedIndex=1&itb=0)
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