Anomalous Network Packet Detection: Using stream mining and clustering algorithms - Ahmed Burhan Mohammed
-35% koodilla BOOKS
Toimitus 12-18 arkipäivässä
30 päivän palautusoikeus
In the last decade, extensive research has been done to the improvement of Intrusion Detection Systems (IDS) for anomalous network packets. Two types of IDS are available. The first one is the signature-based detection system. It can detect intrusions by scanning network packets and compare them with human-generated signatures against previously observed attacks. The second type is the anomaly-based detecti ... Täydellinen kuvaus
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Kuvaus
In the last decade, extensive research has been done to the improvement of Intrusion Detection Systems (IDS) for anomalous network packets. Two types of IDS are available. The first one is the signature-based detection system. It can detect intrusions by scanning network packets and compare them with human-generated signatures against previously observed attacks. The second type is the anomaly-based detection system, which is able to detect new attacks against observed attacks.
Lisätietoja
| Kirjoittaja | Ahmed Burhan Mohammed |
|---|---|
| Julkaisija | LAP LAMBERT Academic Publishing |
| Julkaisuvuosi | 2017 |
| Kannen tyyppi | Pehmeäkantinen |
| EAN | 9783330047082 |