Performance Comparison of Reputation Assessment Techniques Based on Self-Organizing Maps in Wireless Sensor Networks
المؤلفون المشاركون
Sicari, Sabrina
Rizzardi, Alessandra
Grieco, Luigi Alfredo
Coen-Porisini, Alberto
المصدر
Wireless Communications and Mobile Computing
العدد
المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-15، 15ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2017-11-28
دولة النشر
مصر
عدد الصفحات
15
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الملخص EN
Many solutions based on machine learning techniques have been proposed in literature aimed at detecting and promptly counteracting various kinds of malicious attack (data violation, clone, sybil, neglect, greed, and DoS attacks), which frequently affect Wireless Sensor Networks (WSNs).
Besides recognizing the corrupted or violated information, also the attackers should be identified, in order to activate the proper countermeasures for preserving network’s resources and to mitigate their malicious effects.
To this end, techniques adopting Self-Organizing Maps (SOM) for intrusion detection in WSN were revealed to represent a valuable and effective solution to the problem.
In this paper, the mechanism, namely, Good Network (GoNe), which is based on SOM and is able to assess the reliability of the sensor nodes, is compared with another relevant and similar work existing in literature.
Extensive performance simulations, in terms of nodes’ classification, attacks’ identification, data accuracy, energy consumption, and signalling overhead, have been carried out in order to demonstrate the better feasibility and efficiency of the proposed solution in WSN field.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Sicari, Sabrina& Rizzardi, Alessandra& Grieco, Luigi Alfredo& Coen-Porisini, Alberto. 2017. Performance Comparison of Reputation Assessment Techniques Based on Self-Organizing Maps in Wireless Sensor Networks. Wireless Communications and Mobile Computing،Vol. 2017, no. 2017, pp.1-15.
https://search.emarefa.net/detail/BIM-1206194
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Sicari, Sabrina…[et al.]. Performance Comparison of Reputation Assessment Techniques Based on Self-Organizing Maps in Wireless Sensor Networks. Wireless Communications and Mobile Computing No. 2017 (2017), pp.1-15.
https://search.emarefa.net/detail/BIM-1206194
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Sicari, Sabrina& Rizzardi, Alessandra& Grieco, Luigi Alfredo& Coen-Porisini, Alberto. Performance Comparison of Reputation Assessment Techniques Based on Self-Organizing Maps in Wireless Sensor Networks. Wireless Communications and Mobile Computing. 2017. Vol. 2017, no. 2017, pp.1-15.
https://search.emarefa.net/detail/BIM-1206194
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1206194
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر