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Enhancend Secure Data Aggregation In Mobile Wireless Sensor Networks (MWSNs)

تحسين التجميع الآمن للبيانات في شبكات الحساسات اللاسلكية المتنقلة

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 Publication date 2018
and research's language is العربية
 Created by Shamra Editor




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Mobile Wireless Sensor Network (MWSN) is an emerging technology for attraction of researchers with its research advantage and various application domains. Due to limited resources of sensor nodes such as transmission power, communication capability and size of memory, data aggregation algorithms are the most practical technique that reduces large amount of transmission in this network. Security is an important criterion to be considered because, wireless sensor nodes are deployed in a remote or hostile environment area that is prone to attacks easily. Therefore, security are essential issue for MWSN to protect information against attacks. In this research, we offered an algorithm of secure data aggregation in MWSN based on pair-wise keys technology and hash function. We studied important parameters such as execution time, end-to-end delay and number of storied keys. Results showed that


Artificial intelligence review:
Research summary
تتناول هذه الدراسة تحسين التجميع الآمن للبيانات في شبكات الحساسات اللاسلكية المتنقلة (MWSNs). تعتبر هذه الشبكات تقنية حديثة تجذب الباحثين بسبب مزاياها وتطبيقاتها المتعددة. تهدف الدراسة إلى تقديم خوارزمية جديدة تعتمد على تقنية المفاتيح الثنائية وتابع البعثرة لتحسين أمان البيانات وتقليل التأخير الزمني. تم تقييم أداء الخوارزمية المقترحة من خلال دراسة عدة بارامترات مثل زمن التنفيذ، التأخير نهاية إلى نهاية، وعدد المفاتيح المخزنة. أظهرت النتائج أن الخوارزمية المقترحة توفر أداءً جيداً من حيث الأمان والتأخير الزمني، مما يجعلها مناسبة لتطبيقات الزمن الحقيقي. تعتمد الخوارزمية على توزيع المفاتيح بشكل مسبق على العقد قبل نشرها، مما يقلل من استهلاك الطاقة ويضمن أمان البيانات حتى في حالة السيطرة على بعض العقد. تم استخدام برنامج المحاكاة NS-2 لتقييم أداء الخوارزمية، حيث أظهرت النتائج فعالية الخوارزمية في تحقيق متطلبات الأمان الأساسية وتقليل التأخير الزمني.
Critical review
تعد هذه الدراسة خطوة مهمة نحو تحسين أمان شبكات الحساسات اللاسلكية المتنقلة، إلا أن هناك بعض النقاط التي يمكن تحسينها. أولاً، الدراسة تعتمد بشكل كبير على نموذج محدد للشبكة، مما قد يحد من تطبيق الخوارزمية في بيئات أخرى. ثانياً، لم يتم تناول تأثير استهلاك الطاقة بشكل مفصل، وهو عامل حيوي في شبكات الحساسات. ثالثاً، يمكن تحسين الدراسة من خلال مقارنة الخوارزمية المقترحة مع خوارزميات أخرى موجودة في الأدبيات لتقديم صورة أوضح عن مدى تفوقها. وأخيراً، يمكن توسيع نطاق الدراسة لتشمل تطبيقات أخرى غير تلك المذكورة في البحث لتقييم فعالية الخوارزمية في سيناريوهات مختلفة.
Questions related to the research
  1. ما هي التقنية الأساسية التي تعتمد عليها الخوارزمية المقترحة في البحث؟

    تعتمد الخوارزمية المقترحة على تقنية المفاتيح الثنائية وتابع البعثرة لتحسين أمان البيانات وتقليل التأخير الزمني.

  2. ما هي البارامترات التي تم تقييمها في الدراسة لتحديد أداء الخوارزمية؟

    تم تقييم أداء الخوارزمية من خلال دراسة زمن التنفيذ، التأخير نهاية إلى نهاية، وعدد المفاتيح المخزنة.

  3. ما هو البرنامج المستخدم لمحاكاة أداء الخوارزمية المقترحة؟

    تم استخدام برنامج المحاكاة NS-2 لتقييم أداء الخوارزمية المقترحة.

  4. ما هي التوصيات التي قدمتها الدراسة لتحسين الخوارزمية المقترحة؟

    أوصت الدراسة بدراسة إمكانية تطبيق الخوارزمية على نماذج حركة أخرى، واستخدام خوارزمية توزيع المفاتيح العشوائية كخطوة بديلة عن المفاتيح الثنائية.


References used
J. REZAZADEH, M. MORADI, and A. SAMAD ISMAIL. Mobile Wireless Sensor Networks Overview. In International Journal of Computer Communications and Networks (IJCCN), Volume 2, NO 1, February 2012,pp. 17-21
M. ARSHAD, N.M. SAAD, N. KAMEL and N. ARMI. Routing Strategies in Hierarchical Cluster Based Mobile Wireless Sensor Networks. In IEEE INECCE, Pahang, Malaysia ,June 2011,pp. 65-69
L. ZHU . Secure and Privacy-Preserving Data Communication in Internet of ThingsSpringerBriefs in Signal Processing, 2017,pp. 3-12
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