Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Bücher
Zeitschriften
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
SLX-Digitalkonferenz: Zukunftswerkstatt 2024

Mehr Umsatz mit Top-Kontakten

Am 7. Mai erfahren Sie, wie Vertriebsteams Leadgenerierung, Leadnurturing und Leadstrategien effizient steuern können.
Erweiterte Suche
Anmelden
nach oben
Wireless Personal Communications
Erschienen in: Wireless Personal Communications 4/2020

23.01.2020

An Intrusion Detection System on Ping of Death Attacks in IoT Networks

verfasst von: Asrin Abdollahi, Mohammad Fathi

Erschienen in: Wireless Personal Communications | Ausgabe 4/2020

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Internet of things (IoT) is almost vulnerable to cyber security attacks due to the limited computational resources of conventional IoT devices. In this paper, ping of death as a cyber security attack is modeled for IoT networks. Attackers increase the length of transmit packets intentionally in order to degrade the network resources. To mitigate ping of death attacks, an intrusion detection system (IDS) is designed to be included in the network gateway to detect attacks and to filter out the over-length packets. The IDS relies on an integer optimization problem minimizing the false alarm probability while maintaining the missed detection probability below a desired level. The problem is solved using a search method. Simulation results demonstrate the impact of the proposed IDS by not allowing the gateway queue lengths to grow unexpectedly and to maintain queues at a normal level. Furthermore, simulation results provide a guideline for the network administrator to configure the IDS parameters such a normal packet length.
Nächster Artikel Performance Evaluation and Analysis of Peak to Average Power Reduction in OFDM Signal

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Jetzt informieren
Literatur
1.
2.
Al-Shargabi, B, & Sabri, O. (2017). Internet of things: An exploration study of opportunities and challenges. In 2017 international conference on engineering & MIS (ICEMIS) on IEEE, 2017.
3.
Hao, C., Xueqin, J., & Heng, L. (2011). A brief introduction to IoT gateway. In IET international conference on communication technology and application (ICCTA 2011) (pp. 610–613).
4.
Samuel, S. S. I. (2016). A review of connectivity challenges in IoT-smart home. In 3rd MEC international conference on big data and smart city, IEEE conferences, 2016.
5.
Rayes, A., & Salam, S. (2017). Internet of things security and privacy. In Springer, 2017 (pp. 211–238).
6.
Kibirige, G. W., & Sanga, C. (2015). A survey on detection of sinkhole attack in wireless sensor network. arXiv preprint arXiv:​1505.​01941.
7.
Keshri, A., Singh, S., Agarwal, M., & Nandiy, S. K. (2016). DoS attacks prevention using IDS and data mining. In 2016 international conference on accessibility to digital world (ICADW), IEEE conferences (pp. 87–92).
8.
9.
Brachmann, M., Keoh, S. L., Morchon, O. G., & Kumar, S. S. (2012). End-to-end transport security in the IP-based internet of things. In 21st international conference on computer communications and networks (ICCCN), 2012.
10.
Raza, S., Shafagh, H., Hewage, K., Hummen, R., & Voigt, T. (2013). Lithe: Lightweight Secure CoAP for the internet of things. IEEE Sensors Journal,13, 3711–3720.CrossRef
11.
Raza, S., Trabalza, D., & Voigt, T. (2012). 6lowpan compressed DTLS for CoAP. In 2012 IEEE 8th international conference on distributed computing in sensor systems (pp. 287–289).
12.
Kumar, V., & Tiwari, S. (2012). Routing in IPv6 over low-power wireless personal area networks (6LoWPAN): A survey. Journal of Computer Networks and Communications, 1–11.
13.
Raza, S., Duquennoy, S., Chung, T., Yazar, D., Voigt, T., & Roedig, U. (2011). Securing communication in 6LoWPAN with compressed IPsec. In Distributed computing in sensor systems and workshops (DCOSS) (pp. 1–8).
14.
Pharate, A., & Bhat, B. (2015). Classification of intrusion detection system. International Journal of Computer Applications,118(17), 0975–8887.
15.
Ioulianou, P., Vasileios, V., Ioannis, M., & Michael, L. (2018). A signature-based intrusion detection system for the internet of things. Information and Communication Technology Form.
16.
Ukil, A., Bandyoapdhyay, S., Puri, C., & Pal, A. (2016). IoT healthcare analytics: The importance of anomaly detection. In 2016 IEEE 30th international conference on advanced information networking and applications (AINA) (pp. 994–997).
17.
Le, A., Loo, J., Chai, K., & Aiash, M. (2016). A specification-based IDS for detecting attacks on RPL-based network topology. Information,7(2), 25.CrossRef
18.
Sedjelmaci, H., Senouci, S. M., & Al-Bahri, M. (2016). A lightweight anomaly detection technique for low-resource IoT devices: A game-theoretic methodology. In 2016 IEEE international conference on communications (ICC), 2016.
19.
Raza, S., Wallgren, L., & Voigt, T. (2013). SVELTE: Real-time intrusion detection in the Internet of Things. Ad Hoc Networks,11, 2661–2674.CrossRef
20.
Raza, S., Duquennoy, S., Höglund, J., & Voigt, U. R. A. T. (2012). Secure communication for the Internet of Things a comparison of link-layer security and IPsec for 6LowPAN. Security and Communication Networks,7(12), 2654–2668.CrossRef
21.
Cervantes, C., Poplade, D., Nogueira, M., & Santos, A. (2015). Detection of sinkhole attacks for supporting secure routing on 6LoWPAN for internet of things. In 2015 IFIP/IEEE international symposium on integrated network management (IM), 2015.
22.
Surendar, M., & Umamakeswari, A. (2016). InDReS: An intrusion detection and response system for Internet of Things with 6LoWPAN. In Proceedings of 2016 IEEE international conference on wireless communications signal processing and networking (pp. 903–1908).
23.
Yan, K., Wang, S., Wang, S., & Liu, C. (2010). Hybrid intrusion detection system for enhancing the security of a cluster-based. In 2010 3rd international conference on computer science and information technology (Vol. 1, pp. 114–118).
24.
Sedjelmaci, H., Senouci, S., & Taleb, T. (2017). An accurate security game for low-resource IoT devices. IEEE Transactions on Vehicular Technology,66(10), 9381–9393.CrossRef
25.
Stolyar, A. L. (2005). Maximizing queuing network utility subject to stability: Greedy primal–dual algorithm. Queueing Systems,50(4), 401–457.MathSciNetCrossRef
Metadaten
Titel
An Intrusion Detection System on Ping of Death Attacks in IoT Networks
verfasst von
Asrin Abdollahi
Mohammad Fathi
Publikationsdatum
23.01.2020
Verlag
Springer US
Erschienen in
Wireless Personal Communications / Ausgabe 4/2020
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-020-07139-y

Weitere Artikel der Ausgabe 4/2020

Wireless Personal Communications 4/2020 Zur Ausgabe

OriginalPaper

A Solar Energy Forecast Model Using Neural Networks: Application for Prediction of Power for Wireless Sensor Networks in Precision Agriculture

OriginalPaper

Energy Beamforming for Full-Duplex Wireless Powered Cooperative Communications

OriginalPaper

Design and Optimization of Microstrip Patch Antenna for UWB Applications Using Moth–Flame Optimization Algorithm

OriginalPaper

Energy Efficient Dynamic Routing Mechanism (EEDRM) with Obstacles in WSN

OriginalPaper

DHGRP: Dynamic Hexagonal Grid Routing Protocol with Mobile Sink for Congestion Control in Wireless Sensor Networks

OriginalPaper

Underdetermined DOA Estimation Algorithm Based on an Improved Nested Array

Neuer Inhalt

    Bildnachweise