Ιδρυματικό Αποθετήριο [SANDBOX]
Πολυτεχνείο Κρήτης
EN  |  EL

Αναζήτηση

Πλοήγηση

Ο Χώρος μου

Acceleration of intrusion detection in encrypted network traffic using heterogeneous hardware

Papadogiannaki Eva, Ioannidis Sotirios

Απλή Εγγραφή


URIhttp://purl.tuc.gr/dl/dias/CB6C5F49-03DD-49ED-BA4F-954E4F8ABCDD-
Αναγνωριστικόhttps://doi.org/10.3390/s21041140-
Αναγνωριστικόhttps://www.mdpi.com/1424-8220/21/4/1140-
Γλώσσαen-
Μέγεθος21 pagesen
ΤίτλοςAcceleration of intrusion detection in encrypted network traffic using heterogeneous hardwareen
ΔημιουργόςPapadogiannaki Evaen
ΔημιουργόςIoannidis Sotiriosen
ΔημιουργόςΙωαννιδης Σωτηριοςel
ΕκδότηςMDPIen
ΠερίληψηMore than 75% of Internet traffic is now encrypted, and this percentage is constantly increasing. The majority of communications are secured using common encryption protocols such as SSL/TLS and IPsec to ensure security and protect the privacy of Internet users. However, encryption can be exploited to hide malicious activities, camouflaged into normal network traffic. Traditionally, network traffic inspection is based on techniques like deep packet inspection (DPI). Common applications for DPI include but are not limited to firewalls, intrusion detection and prevention systems, L7 filtering, and packet forwarding. With the widespread adoption of network encryption though, DPI tools that rely on packet payload content are becoming less effective, demanding the development of more sophisticated techniques in order to adapt to current network encryption trends. In this work, we present HeaderHunter, a fast signature-based intrusion detection system even for encrypted network traffic. We generate signatures using only network packet metadata extracted from packet headers. In addition, we examine the processing acceleration of the intrusion detection engine using different heterogeneous hardware architectures.en
ΤύποςPeer-Reviewed Journal Publicationen
ΤύποςΔημοσίευση σε Περιοδικό με Κριτέςel
Άδεια Χρήσηςhttp://creativecommons.org/licenses/by/4.0/en
Ημερομηνία2023-01-26-
Ημερομηνία Δημοσίευσης2021-
Θεματική ΚατηγορίαNetwork intrusion detectionen
Θεματική ΚατηγορίαEncrypted network trafficen
Θεματική ΚατηγορίαEncrypted network traffic inspectionen
Θεματική ΚατηγορίαNetwork packet metadataen
Θεματική ΚατηγορίαGPGPUsen
Θεματική ΚατηγορίαIntegrated GPUen
Θεματική ΚατηγορίαOpenCLen
Βιβλιογραφική ΑναφοράE. Papadogiannaki and S. Ioannidis, “Acceleration of intrusion detection in encrypted network traffic using heterogeneous hardware,” Sensors, vol. 21, no. 4, Feb. 2021, doi: 10.3390/s21041140.en

Διαθέσιμα αρχεία

Υπηρεσίες

Στατιστικά