Application of artificial intelligence in detection of DDos attacks
Samo za registrovane korisnike
2020
Konferencijski prilog (Objavljena verzija)
Metapodaci
Prikaz svih podataka o dokumentuApstrakt
Services distributed over the Internet are ranging from entertaining and informative to those whose availability must not be interrupted because it affects the quality of life, but also safety and health. Due to its importance, the global computer network is a desirable target, attacks are continually taking place, and the damage is more than considerable. Among the many types of attacks, one of the most effective, given the relationship between the damage done and the challenge to be prevented, detect and control, are DDoS attacks. This paper discusses the phases, components, categories, and types of DDoS attacks and emphasizes detection approaches. The standout approach and one that can answer the complexity of detecting DDoS attacks is the classification with artificial intelligence techniques. This work shows why artificial intelligence represents the starting point for further research in information security.
Ključne reči:
distributed denial of service / intrusion detection systems / artificial intelligence / classifiersIzvor:
Thematic conference proceedings of international significance [Elektronski izvor], 2020, 10, 557-566Izdavač:
- Belgrade : University of Criminal Investigation and Police Studies
Napomena:
- International Scientific Conference "Archibald Reiss Days", Belgrade, 18-19 November 2020
Institucija/grupa
JakovTY - CONF AU - Vuković, Igor AU - Popović, Brankica AU - Čisar, Petar PY - 2020 UR - https://jakov.kpu.edu.rs/handle/123456789/1618 AB - Services distributed over the Internet are ranging from entertaining and informative to those whose availability must not be interrupted because it affects the quality of life, but also safety and health. Due to its importance, the global computer network is a desirable target, attacks are continually taking place, and the damage is more than considerable. Among the many types of attacks, one of the most effective, given the relationship between the damage done and the challenge to be prevented, detect and control, are DDoS attacks. This paper discusses the phases, components, categories, and types of DDoS attacks and emphasizes detection approaches. The standout approach and one that can answer the complexity of detecting DDoS attacks is the classification with artificial intelligence techniques. This work shows why artificial intelligence represents the starting point for further research in information security. PB - Belgrade : University of Criminal Investigation and Police Studies C3 - Thematic conference proceedings of international significance [Elektronski izvor] T1 - Application of artificial intelligence in detection of DDos attacks VL - 10 SP - 557 EP - 566 UR - https://hdl.handle.net/21.15107/rcub_jakov_1618 ER -
@conference{ author = "Vuković, Igor and Popović, Brankica and Čisar, Petar", year = "2020", abstract = "Services distributed over the Internet are ranging from entertaining and informative to those whose availability must not be interrupted because it affects the quality of life, but also safety and health. Due to its importance, the global computer network is a desirable target, attacks are continually taking place, and the damage is more than considerable. Among the many types of attacks, one of the most effective, given the relationship between the damage done and the challenge to be prevented, detect and control, are DDoS attacks. This paper discusses the phases, components, categories, and types of DDoS attacks and emphasizes detection approaches. The standout approach and one that can answer the complexity of detecting DDoS attacks is the classification with artificial intelligence techniques. This work shows why artificial intelligence represents the starting point for further research in information security.", publisher = "Belgrade : University of Criminal Investigation and Police Studies", journal = "Thematic conference proceedings of international significance [Elektronski izvor]", title = "Application of artificial intelligence in detection of DDos attacks", volume = "10", pages = "557-566", url = "https://hdl.handle.net/21.15107/rcub_jakov_1618" }
Vuković, I., Popović, B.,& Čisar, P.. (2020). Application of artificial intelligence in detection of DDos attacks. in Thematic conference proceedings of international significance [Elektronski izvor] Belgrade : University of Criminal Investigation and Police Studies., 10, 557-566. https://hdl.handle.net/21.15107/rcub_jakov_1618
Vuković I, Popović B, Čisar P. Application of artificial intelligence in detection of DDos attacks. in Thematic conference proceedings of international significance [Elektronski izvor]. 2020;10:557-566. https://hdl.handle.net/21.15107/rcub_jakov_1618 .
Vuković, Igor, Popović, Brankica, Čisar, Petar, "Application of artificial intelligence in detection of DDos attacks" in Thematic conference proceedings of international significance [Elektronski izvor], 10 (2020):557-566, https://hdl.handle.net/21.15107/rcub_jakov_1618 .