AI oo ku jira Kediska Baadhitaanka Soo Galitaanka Shabakadda

Jawaabaha iyo sharraxaadaha waxay soo baxayaan markaad qaadanayso kediska.

1. What can anomaly-based AI add to signature matching when previously unseen behavior appears?
   • It can flag deviations from learned normal traffic for investigation, without guaranteeing detection of every new attack
   • It can prove a deviation is malicious without review
   • It can identify every attacker by name
   • It can replace all security monitoring
2. Sidee baa ogaanshaha ku salaysan anomaly caadi ahaan lagu gartaa khataraha?
   • Iyada oo la waafajinayo kaydka xogta saxeexyada fayraska ee la yaqaan
   • Adiga oo baranaya hab-dhaqanka caadiga ah iyo ka weecinta
   • Adigoo xannibaya dhammaan taraafikada sir ah
   • Adigoo waydiinaya isticmaalayaasha inay xaqiijiyaan xidhiidh kasta
3. Sidee buu autoencoder-ku u caawiyaa in la ogaado taraafikada shabakada aan fiicnayn?
   • Waxay si qarsoodi ah u gelisaa taraafikada si ay u badbaaddo
   • Waxay si toos ah u tirtirtaa baakadaha shakiga leh
   • Qaladka dib u dhiska sare ee taraafikada cusub ayaa calaamad u ah cillad
   • Waxay tirisaa tirada isticmaalayaasha internetka
4. Waa maxay caqabad weyn oo la taaban karo ee nidaamyada ogaanshaha soo galitaanka AI?
   • Shabakadaha oo aad u aamusan si ay ula socdaan
   • La'aanta shabakad kasta oo taraafikada si loo falanqeeyo
   • Weerarada oo aad u fudud in saxiixyada loo qoro
   • Waxyaalo badan oo been abuur ah ayaa keenaya daal feejigan
5. Waa maxay sababta isku dheelitir la'aanta fasalka ay walaac u tahay marka la tababarayo moodooyinka ogaanshaha faragelinta?
   • Sababtoo ah weerarradu waa naadir marka loo eego taraafikada caadiga ah
   • Sababtoo ah waxaa jira noocyo badan oo isticmaalayaasha ah
   • Sababtoo ah shabakadaha waxay leeyihiin xajmigoodu siman yahay
   • Sababtoo ah dhammaan taraafikada waa xaasidnimo
6. Keebaa tusaale u ah aaladda ogaanshaha farogelinta ku salaysan saxeex dhaqameed?
   • Photoshop
   • Khuurada
   • Excel
   • AlphaFold
7. What is the main difference between supervised intrusion classification and anomaly detection in the guide?
   • Supervised models use no labels
   • Anomaly detection requires every attack type to be labeled
   • Supervised models learn from labeled attack examples; anomaly models can learn a normal-traffic baseline
   • Both methods only examine packet payload text
8. Which traffic information can be used as model features in an intrusion detector?
   • Only the user’s password
   • Only the final alert color
   • The model’s GPU temperature
   • Packet sizes, connection durations, protocols and flow statistics