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Pregled bibliografske jedinice broj: 1130835

Methodology for Detecting Cyber Intrusions in e-Learning Systems during COVID-19 Pandemic


Cvitić, Ivan; Peraković, Dragan; Periša, Marko; Jurcut, Anca Delia
Methodology for Detecting Cyber Intrusions in e-Learning Systems during COVID-19 Pandemic // Mobile networks & applications (2021) doi:10.1007/s11036-021-01789-3 (znanstveni, online first)


CROSBI ID: 1130835 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Methodology for Detecting Cyber Intrusions in e-Learning Systems during COVID-19 Pandemic

Autori
Cvitić, Ivan ; Peraković, Dragan ; Periša, Marko ; Jurcut, Anca Delia

Vrsta, podvrsta
Radovi u časopisima, znanstveni

Izvornik
Mobile networks & applications (2021)

Status rada
Online first

Ključne riječi
availability ; cyber-threats ; DDoS ; SARS-CoV-2 ; e-learning

Sažetak
In the scenarios of specific conditions and crises such as the coronavirus pandemic, the availability of e-learning ecosystem elements is further highlighted. The growing importance for securing such an ecosystem can be seen from DDoS (Distributed Denial of Service) attacks on e-learning components of the Croatian e-learning system. The negative impact of the conducted attack is visible in numerous users who were prevented from participating in and implementing the planned teaching process. Network anomalies such as conducted DDoS attacks were identified as one of the crucial threats to the e-learning systems. In this paper, an overview of the network anomaly phenomenon was given and botnets’ role in generating DDoS attacks, especially IoT device impact. The paper analyzes the impact of the COVID-19 pandemic on the e-learning systems in Croatia. Based on the conclusions, a research methodology has been proposed to develop a cyber-threat detection model that considers the specifics of the application of e-learning systems in crisis, distinguishing flash crowd events from anomalies in the communication network. The proposed methodology includes establishing a theoretical basis on DDoS and flash crowd event traffic, defining a laboratory testbed setup for data acquisition, development of DDoS detection model, and testing the applicability of the developed model on the case study. The implementation of the proposed methodology can improve the quality of the teaching process through timely DDoS detection and it gives other socio- economic contributions such as developing a specific research domain, publicly available dataset of network traffic, and raising the cyber-security of the e-learning systems.

Izvorni jezik
Engleski

Znanstvena područja
Tehnologija prometa i transport



POVEZANOST RADA


Ustanove:
Fakultet prometnih znanosti, Zagreb

Profili:

Avatar Url Ivan Cvitić (autor)

Avatar Url Marko Periša (autor)

Avatar Url Dragan Peraković (autor)

Citiraj ovu publikaciju

Cvitić, Ivan; Peraković, Dragan; Periša, Marko; Jurcut, Anca Delia
Methodology for Detecting Cyber Intrusions in e-Learning Systems during COVID-19 Pandemic // Mobile networks & applications (2021) doi:10.1007/s11036-021-01789-3 (znanstveni, online first)
Cvitić, I., Peraković, D., Periša, M. & Jurcut, A. (2021) Methodology for Detecting Cyber Intrusions in e-Learning Systems during COVID-19 Pandemic. Prihvaćen za objavljivanje u Mobile networks & applications. [Preprint] doi:10.1007/s11036-021-01789-3.
@unknown{unknown, year = {2021}, DOI = {10.1007/s11036-021-01789-3}, keywords = {availability, cyber-threats, DDoS, SARS-CoV-2, e-learning}, journal = {Mobile networks and applications}, doi = {10.1007/s11036-021-01789-3}, title = {Methodology for Detecting Cyber Intrusions in e-Learning Systems during COVID-19 Pandemic}, keyword = {availability, cyber-threats, DDoS, SARS-CoV-2, e-learning} }
@unknown{unknown, year = {2021}, DOI = {10.1007/s11036-021-01789-3}, keywords = {availability, cyber-threats, DDoS, SARS-CoV-2, e-learning}, journal = {Mobile networks and applications}, doi = {10.1007/s11036-021-01789-3}, title = {Methodology for Detecting Cyber Intrusions in e-Learning Systems during COVID-19 Pandemic}, keyword = {availability, cyber-threats, DDoS, SARS-CoV-2, e-learning} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


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