
Cyber Security Concepts
Flashcard
•
Computers
•
12th Grade
•
Practice Problem
•
Easy
Miss Watters
Used 2+ times
FREE Resource
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8 questions
Show all answers
1.
FLASHCARD QUESTION
Front
What is an Intrusion Detection System (IDS)?
Back
An IDS is designed to expose any attempts by attackers to compromise data or other resources. It is a monitoring system that requires a human to look at the results to take action.
2.
FLASHCARD QUESTION
Front
How does an Intrusion Prevention System (IPS) differ from an IDS?
Back
An IPS is a control system that can block attacks using an external database to take action, unlike an IDS which only monitors and requires human intervention.
3.
FLASHCARD QUESTION
Front
What is a Network Intrusion Detection System (NIDS)?
Back
A NIDS is network-based, monitors all traffic on the network, intercepts data packets, identifies anything suspicious, and alerts managing staff. It is installed at specific points between the network and external environment.
4.
FLASHCARD QUESTION
Front
What is a Host Intrusion Detection System (HIDS)?
Back
A HIDS examines traffic directed at the host or single computer it is protecting, detecting any unusual, unauthorized, or illegal activities on a specific device.
5.
FLASHCARD QUESTION
Front
What are the two types of detection methods used by IPS?
Back
IPS uses signature-based detection, which monitors for specific patterns used by malware, and anomaly-based detection, which compares current network traffic to a baseline to detect unusual patterns.
6.
FLASHCARD QUESTION
Front
What is statistical anomaly detection?
Back
It samples network traffic and compares it to a baseline to detect patterns that are not normally present, allowing for real-time alerts and immediate action.
7.
FLASHCARD QUESTION
Front
What is signature-based detection?
Back
It monitors inbound network traffic to find sequences and patterns that match a particular attack signature, identifying specific patterns used by malware.
8.
FLASHCARD QUESTION
Front
What is anomaly-based detection?
Back
It involves taking a baseline of normal traffic and activity on the network and measuring current traffic against this baseline to detect unusual patterns.
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