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
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Bücher
Zeitschriften
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
ATZ-Fachkongress

Chassis.tech plus 2024


4 Kongresse in einer Veranstaltung

Treffen Sie in München die Fachleute von Chassis, Lenkung, Bremsen sowie Reifen/Räder.
Erweiterte Suche
Anmelden
nach oben
Wireless Personal Communications
Erschienen in: Wireless Personal Communications 4/2019

06.02.2019

Novel Trust Based Energy Aware Routing Mechanism for Mitigation of Black Hole Attacks in MANET

verfasst von: R. Tino Merlin, R. Ravi

Erschienen in: Wireless Personal Communications | Ausgabe 4/2019

Einloggen

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

search-config
loading …

Abstract

The open transmission characteristics in wireless environments and scarce energy resources generated many challenging factors in MANET’s. Presently, MANET’s are highly employed in security related applications. Moreover, security problems and energy efficiency are considered as the supreme factors in MANET whereas, the security threats emerges out due to their scare resource characteristics; hence their functionalities are highly degraded with numerous security attacks namely, the cruel black hole attack (BHA). The BHA mainly distresses the data collection and makes an effort to engage in most of the links as possible to increase the resource constrained issues in the network. In order to withstand these issues, we propose a novel trust based energy aware routing (TEAR) mechanism for MANETs. The most important characteristics of TEAR mechanism is that it mitigates BHs through the dynamic generation of multiple detection routes to detect the BHs quickly as possible and provides better data route security by obtaining the nodal trust. More significantly, the TEAR mechanism can effectively handle both the creation and sharing of these multi-detection routes for the detection of BHs. Essentially, these multi-detection routes in TEAR mechanism are generated by wholly utilizing the energy in non-hotspots (i.e. without wasting the energy) to improve the energy efficiency and desired data route security. The theoretical and experimental analysis proved that our TEAR mechanism exhibited better performance than that of the earlier research works. The TEAR mechanism highly optimizes the lifespan of network by avoiding the black hole attacks and drastically increasing the probability of successful data routing.
Vorheriger Artikel Indoor Localization Using Multi-operator Public Land Mobile Networks and Support Vector Machine Learning Algorithms

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.
Camp, T., Boleng, J., & Davies, V. (2002). Survey of mobility models, wireless communication and mobile computing (WCMC). Special Issue on Mobile Ad Hoc Networking: Research, Trends and Applications, 2(5), 483–502.
2.
Sundararaj, V. (2019). Optimal task assignment in mobile cloud computing by queue based ant-bee algorithm. Wireless Personal Communications, 104(1), 173–197.CrossRef
3.
Sundararaj, V., Muthukumar, S., & Kumar, R. S. (2018). An optimal cluster formation based energy efficient dynamic scheduling hybrid MAC protocol for heavy traffic load in wireless sensor networks. Computers & Security, 77, 277–288.CrossRef
4.
Singh, G., Bindra, H., & Sangal, A. (2011). Performance analysis of DSR, AODV routing protocols based on wormhole attack in mobile ad hoc network. International Journal of Computer Applications, 26(5), 38–41.CrossRef
5.
Irshad U., & Rehman S. U. (2010). Analysis of black hole attack on MANETs using different MANET routing protocols. Master thesis, School of Computing, Blekinge Institute of Technology, Sweden.
6.
McMahon, R. (2004). Introduction to networking. New York: McGraw-Hill Higher Education.
7.
Tseng C. (2006). Distributed intrusion detection models for mobile ad hoc networks. Ph.D. thesis, University Of California Davis.
8.
Aljawarneh, S., Aldwairi, M., & Yasin, M. B. (2017). Anomaly-based intrusion detection system through feature selection analysis and building hybrid efficient model. Journal of Computational Science, 25, 52–160.
9.
Aljawarneh, S., Yassein, M. B., & Telafeh, W. (2017). A resource-efficient encryption algorithm for multimedia big data. Multimedia Tools and Applications, 76, 1–22.CrossRef
10.
Aljawarneh, Shadi A., Moftah, Raja A., & Maatuk, Abdelsalam M. (2016). Investigations of automatic methods for detecting the polymorphic worms signatures. Future Generation Computer Systems, 60, 67–77.CrossRef
11.
Sundararaj, V. (2016). An efficient threshold prediction scheme for wavelet based ECG signal noise reduction using variable step size firefly algorithm. International Journal of Intelligent Engineering and Systems, 9(3), 117–126.CrossRef
12.
Johnan, D. B., & Maltz, D. A. (1996). Dynamic source routing in ad hoc wireless networks. In T. Lmielinski & H. Korth (Eds.), Mobile computing, chapter 5 (pp. 153–181). Amsterdam: Kluwer Academic Publishers.
13.
Perkins, C. E., & Royer, E. M. (1999) Ad hoc on-demand distance vector routing. In Proceedings of the 2nd IEEE mobile computer systems and applications (pp. 90–100).
14.
Lee, S. J., & Gerla, M. (2011). Split multipath routing with maximally disjoint paths in ad hoc networks. In IEEE ICC (pp. 3201–3205).
15.
Kanthe, A., Simunic, D., & Prasad, R. (2012). Effects of malicious attacks in mobile ad-hoc networks. In Proceeding of the 2012 IEEE international conference on computational intelligence and computing research, December 2012, Coimbatore, India.
16.
Himral, L., Vig, V., & Chand, N. (2011). Preventing AODV routing protocol from black hole attack. International Journal of Engineering Science and Technology, 3(5), 3927–3932.
17.
Sivasankar, P., Chellappan, C., & Balaji, S. (2011). Performance of energy efficient routing protocol for MANET. International Journal of Computer Applications, 28, 1–6.CrossRef
18.
Mahmaud, M., et al. (2013). Secure and reliable routing protocols for heterogeneous multihop wireless networks. IEEE Transactions on Parallel and Distributed Systems, 1, 11.
19.
Goldsmith, A., & Wicker, S. (2002). Design challenges for energy constrained ad-hoc wireless networks. Wireless Communications, 9(4), 8–27.CrossRef
20.
Ray, N. K., & Turuk, A. (2010) Energy efficient technique for wireless Ad hoc network. In Proceeding of the international joint conference on information and communication technology (pp. 105–111).
21.
Johnson, D. B., & PalChaudhuri, S. (2008). Power mode scheduling for Ad Hoc networks. Proceedings of the International Conference on Network Protocols, 19(5), 192–193.
22.
Souihli, O., Frikha, M., & Mahmoud, B. H. (2009). Load-balancing in MANET shortest-path routing protocols. Ad Hoc Networks, 7(2), 431–442.CrossRef
23.
Shu, T., Krunz, M., & Liu, S. (2010). Secure data collection in wireless sensor networks using randomized dispersive routes. IEEE Transactions on Mobile Computing, 9(7), 941–954.CrossRef
24.
Sun, H., Chen, C., & Hsiao, Y. (2007). An efficient countermeasure to the selective forwarding attack in wireless sensor networks. Proceeding of the IEEE TENCON, 2007, 1–4.
25.
26.
Lou, W., & Kwon, Y. (2006). H-spread: A hybrid multipath scheme for secure and reliable data collection in wireless sensor networks. IEEE Transactiononvehicular Technology, 55(4), 1320–1330.CrossRef
27.
Liu, Y., Zhu, Y., Ni, L. M., et al. (2011). A reliability-oriented transmission service in wireless sensor networks. IEEE Transactions on Parallel and Distributed Systems, 22(12), 2100–2107.CrossRef
28.
Hu, Y., & Liu, A. (2015). An efficient heuristic subtraction deployment strategy to guarantee quality of event detection for WSNs. The Computer Journal, 58(8), 1747–1762.CrossRef
29.
Yu, Y. L., Li, K. Q., Zhou, W. L., & Li, P. (2012). Trust mechanisms in wireless sensor networks: Attack analysis and counter measures. Journal of Network and Computer Applications, 35(3), 867–880.CrossRef
30.
Punithavathani, D. S., Sujatha, K., & Jain, J. M. (2015). Surveillance of anomaly and misuse in critical networks to counter insider threats using computational intelligence. Cluster Computing, 18(1), 435–451.CrossRef
31.
Douss, A. B. C., Abassi, R., & El Fatmi, S. G. (2014) A trust management based security mechanism against collusion attacks in a MANET environment. In 2014 ninth international conference on availability, reliability and security (ARES) (pp. 325–332). New York: IEEE.
32.
Xia, H., Jia, Z., Li, X., Ju, L., & Sha, E. H.-M. (2013). Trust prediction and trust-based source routing in mobile ad hoc networks. Ad Hoc Networks, 11(7), 2096–2114.CrossRef
33.
Rump, F., Jopen, S. A., & Frank, A. (2016) Using probabilistic multipath routing to improve route stability in MANETs. In 2016 IEEE 41st conference on local computer networks (LCN) (pp. 192–195). New York: IEEE.
34.
Meghanathan, Natarajan. (2011). A location prediction based routing protocol and its extensions for multicast and multi-path routing in mobile ad hoc networks. Ad Hoc Networks, 9(7), 1104–1126.CrossRef
35.
Souihli, O., Frikha, M., & Mahmoud, B. H. (2009). Load-balancing in MANET shortest-path routing protocols. Ad Hoc Networks, 7(2), 431–442.CrossRef
36.
DasGupta, S., Saha, S., Bhowal, D., & Bhowmik, D. (2010) LBSPR: Location based shortest path routing protocol in MANET. In 2010 IEEE international conference on computational intelligence and computing research (ICCIC) (pp. 1–4). New York: IEEE.
37.
Deng, Xiaoheng, Peng, Qionglin, He, Lifang, & He, Tingting. (2016). Interference-aware QoS routing for neighbourhood area network in smart grid. IET Communications, 11(5), 756–764.CrossRef
38.
Deng, Xiaoheng, Lifang He, Xu, Li, Qiang Liu, Cai, Lin, & Chen, Zhigang. (2016). A reliable QoS-aware routing scheme for neighbor area network in smart grid. Peer-to-Peer Networking and Applications, 9(4), 616–627.CrossRef
39.
Zhan, G. X., Shi, W. S., & Deng, J. L. (2012). Design and implementation of TARF: A trust-aware routing framework for WSNs. IEEE Transactions on Dependable and Secure Computing, 9(2), 184–197.CrossRef
40.
Hsieh, M. Y., Huang, Y. M., & Chao, H. C. (2007). Adaptive security design with malicious node detection in cluster-based sensor networks. Computer Communications, 30(1), 2385–2400.CrossRef
41.
He, D., Chen, C., Chan, S., Bu, J., & Vasilakos, A. V. (2012). ReTrust: Attack-resistant and lightweight trust management for medical sensor networks. IEEE Transactions on Information Technology in Biomedicine, 16(4), 623–632.CrossRef
42.
Gómez Mármol, F., & Martínez Pérez, G. (2012). TRIP, a trust and reputation infrastructure-based proposal for vehicular ad hoc networks. Journal of Network and Computer Applications, 35(3), 934–941.CrossRef
43.
Deno, M., & Sun, T. (2008). Probabilistic trust management in pervasive computing. In Proceedings of the international conference on embedded and ubiquitous computing, 17–20 December 2008 (Vol. 2, pp. 610–615).
44.
Zia, T. (2008). Reputation-based trust management in wireless sensor networks. In Proceedings of the international conference on intelligent sensors, sensor networks and information processing, December (Vol. 15–18, pp. 163–166).
45.
Mahmaud, M., et al. (2013). Secure and reliable routing protocols for heterogeneous multihop wireless networks. IEEE Transactions on Parallel and Distributed Systems, 1, 11.
46.
Pirzada, A., Datta, A., & McDonald, C. (2004). Trust-based routing for ad-hoc wireless networks. Proceedings of the International Conference on Networks, 1, 326–330.
47.
Li, X., Lyu, M., & Liu, J. (2004) A trust model based routing protocol for secure ad-hoc networks. In Proceeding of the aerospace conference, 6–13 March 2004 (Vol. 2, pp. 1286–1295).
48.
Marchang, N., & Datta, R. (2012). Light-weight trust-based routing protocol for mobile ad-hoc networks. Information Security, 6(2), 77–83.CrossRef
49.
Aad, I., Hubaux, P. J., & Knightly, W. E. (2008). Impact of denial-of-service attacks on ad-hoc networks. IEEE-ACM Transactions on Networking, 16(4), 791–802.CrossRef
50.
Gómez Mármol, F., & Martínez Pérez, G. (2012). TRIP, a trust and reputation infrastructure-based proposal for vehicular ad hoc networks. Journal of Network and Computer Applications, 35(3), 934–941.CrossRef
51.
Wang, J., Liu, Y. H., & Jiao, Y. (2011). Building a trusted route in a mobile ad hoc network considering communication reliability and path length. Journal of Network and Computer Applications, 34(4), 1138–1149.CrossRef
52.
Jaspal, K., Kulkarni, M., & Gupta, D. (2013). Effect of black hole attack on MANET routing protocols. IJ Computer Network and Information Security, 5, 64–72.CrossRef
53.
Hong, X., Kong, J., & Gerla, M. (2006). Mobility changes anonymity: New passive threats in mobile ad hoc networks, Special issue on wireless network security. New York: Wiley Interscience Press.
54.
Divecha, B., Abraham, A., Grosan, G., & Sanyal, S. (2007). Impact of node mobility on MANET routing protocols models. Journal of Digital Information Management, 4(1), 19–23.
55.
Divecha, B., Abraham, A., Grosan, G., & Sanyal, S. (2007). Impact of node mobility on MANET routing protocols models. Journal of Digital Information Management, 4(1), 19–23.
56.
Sharma, M., Khare, S., Dixit, N., & Agrawal, S. (2012). Security in routing protocol to avoid threat of black hole attack in MANET. VSRD-IJEECE, 2(6), 385–390.
57.
Divecha, B., Abraham, A., Grosan, G., & Sanyal, S. (2007). Impact of node mobility on MANET routing protocols models. Journal of Digital Information Management, 4(1), 19–23.
58.
Jerome, H., Filali, F., & Bonnet, C. (2009). Mobility models for vehicular ad hoc networks: A survey and taxonomy. Communications Surveys and Tutorials, IEEE, 14, 19–41.
59.
Guolong, L., Noubir, G., & Rajaraman, R. (2004) Mobility models for ad hoc network simulation. In Twenty-third annual joint conference of the IEEE computer and communications societies, INFOCOM 2004, (Vol. 1). New York: IEEE.
Metadaten
Titel
Novel Trust Based Energy Aware Routing Mechanism for Mitigation of Black Hole Attacks in MANET
verfasst von
R. Tino Merlin
R. Ravi
Publikationsdatum
06.02.2019
Verlag
Springer US
Erschienen in
Wireless Personal Communications / Ausgabe 4/2019
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-019-06120-8

Weitere Artikel der Ausgabe 4/2019

Wireless Personal Communications 4/2019 Zur Ausgabe

OriginalPaper

A Lightweight Cryptography Technique with Random Pattern Generation

OriginalPaper

A Fast Parallel GPS Acquisition Algorithm Based on Hybrid GPU and Multi-core CPU

OriginalPaper

An Energy-Efficient Dynamic Resource Management Approach Based on Clustering and Meta-Heuristic Algorithms in Cloud Computing IaaS Platforms

OriginalPaper

An Improved DV-Hop Scheme Based on Path Matching and Particle Swarm Optimization Algorithm

OriginalPaper

On Optimal Power Allocation over Time-Varying Rayleigh Fading Channels for Maximum-Ratio Combining in Diversity Systems with Partial CSI

OriginalPaper

Resource Allocation for Fog Enhanced Vehicular Services