Contributions à la sécurité des réseaux informatiques à l'aide des IDS comportementaux, les politiques de pare-feu ainsi que les algorithmes de stockage et d'équilibrage de charge

الموضوعات

علوم بحتة وطبيعية

روابط وملفات

التعريف والنوع

رقم الوثيقة

0325288a-6e70-41f6-8f9f-04d91483257a

رقم العقد

0

نوع الوسائط

Crawler

نوع المحتوى

الرسائل العلمية

صيغة المصدر

رسائل دكتوراة

نوع الملف

pdf text

أسماء الملفات

858626_1.pdf

بيانات النشر

ألقاب المؤلفين

[{"name_ar":" Ali Kartit","title_ar":"اشراف","title_en":"Supervision"},{"name_ar":" Mohamed El Marraki ","title_ar":"اشراف","title_en":"Supervision"},{"name_ar":"Hamza Kamal Idrissi","title_ar":"اعداد","title_en":"Preparation"}]

اللغة

French

المصدر والدورية

اسم المصدر

Contributions à la sécurité des réseaux informatiques à l'aide des IDS comportementaux, les politiques de pare-feu ainsi que les algorithmes de stockage et d'équilibrage de charge

المحتوى والصفحات

عدد الصفحات

0

ترجمة الملخص

In the first part of this thesis, we explained in detail the notion of the security policy and then addressed the problems related to the deployment of these policies within a firewall. To achieve this goal, we worked on algorithms for automatic deployment of security policies and we were able to improve them. In the second research area, we are interested in one of the major issues at the moment, which is the security of the data stored in the Cloud. In fact, we presented our contribution, in the form of a Framework, based on the advantages of the two categories of symmetric and asymmetric cryptography for secure storage of data in the Cloud. In addition, we also worked on load balancing in cloud computing. Indeed, we have presented a semi-centralized and multi-cluster architecture. This proposed approach mainly ensures better overall performance with efficient load balancing and continuous service availability by securing data flows between system nodes.Finally, in the third research area, we were interested in the operation of intrusion detection systems (IDS) and more precisely in the detection of abnormality based on the K-Means and the "Simulated Annealing" algorithm. Indeed, we presented our contribution which consists of a combination of two methods of classification and optimization: K-means and Simulated Annealing. This allowed us to arrive at an optimal classification of the data which are the subject of the events to be classified in the phase of the establishment of a normal profile.

كلمات الباحثين

Clustering K-means Gradit Desct Simulation Annealing Anomaly based IDS Policy deploymt .other Scices de l'ingénieur

إشراف وإعداد

الإشراف

Ali Kartit, Mohamed El Marraki

الإعداد

Hamza Kamal Idrissi

الاقتباسات الببليوغرافية