Výsledky vyhledávání - "Shubair Abdulla"

TiSEFE: Time Series Evolving Fuzzy Engine for Network Traffic Classification

Autor: Shubair Abdulla, Amaal Saleh Al Hashimy

Publikováno v: International Journal of Communication Networks and Information Security (IJCNIS). 10

Monitoring and analyzing network traffic are very crucial in discriminating the malicious attack. As the network traffic is becoming big, heterogeneous, and very fast, traffic analysis could be considered as big data analytic task. Recent research in

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::158fa1b7f82b554b0100225ba5c81a04
https://doi.org/10.17762/ijcnis.v10i1.3125

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Virtual flipped classroom: New teaching model to grant the learners knowledge and motivation

Autor: Shubair Abdulla, Sameh Said Ismail

Publikováno v: Journal of Technology and Science Education, Vol 9, Iss 2, Pp 168-183 (2019)
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)

This research introduces new pedagogical approach, the Virtual Flipped Classroom (VFC). The VFC is an integration of two concepts: Flipped Classroom and Virtual Classroom. It enables the teachers to teach and guide the students in applying the activi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e21663c1bfa2b84cc270c5affe613177
https://hdl.handle.net/2117/134428

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Intelligent Approach for Android Malware Detection

Autor: Altyeb Altaher, Shubair Abdulla

Publikováno v: KSII Transactions on Internet and Information Systems. 9:2964-2983

As the Android operating system has become a key target for malware authors, Android protection has become a thriving research area. Beside the proved importance of system permissions for malware analysis, there is a lot of overlapping in permissions

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::126d57c92235b650a4155de3bedc0317
https://doi.org/10.3837/tiis.2015.08.012

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kEFCM: kNN-Based Dynamic Evolving Fuzzy Clustering Method

Autor: Amer Al-Nassiri, Shubair Abdulla

Publikováno v: International Journal of Advanced Computer Science and Applications. 6

Despite the recent emergence of research, creating an evolving fuzzy clustering method that intelligently copes with huge amount of data streams in the present high-speed networks involves a lot of difficulties. Several efforts have been devoted to e

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::af53f24968d4a708ee13cb27f3c5bc7d
https://doi.org/10.14569/ijacsa.2015.060202

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Survey of security issues in IPv4 to IPv6 tunnel transition mechanisms

Autor: Shubair Abdulla

Publikováno v: International Journal of Security and Networks. 12:83

Two reasons why IP version 6 (IPv6) is the future of internet, the amount of potentially allocated IP version 4 (IPv4) addresses is insufficient and IPv4 does not support mobility. Several transition mechanisms were developed to facilitate secure mov

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::431f44b1ac3c29b6955bc6a8070a1f60
https://doi.org/10.1504/ijsn.2017.10004577

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An automatic, prompt, and accurate exploit-based method to generate polymorphic worm's signature

Autor: Altyeb Altaher Altyeb, Sureswaran Ramadass, Shubair Abdulla

Publikováno v: 2011 4th IEEE International Conference on Broadband Network and Multimedia Technology.

Polymorphic worms evade network security systems by varying their payload every time an infection is attempted. The payload's variation operation is performed by using built-in self content encryptor. However, all encrypted payloads share the same in

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b80066754603a56e6179abe223ff337d
https://doi.org/10.1109/icbnmt.2011.6155891

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Educational Data Mining: an Intelligent System to Predict Student Graduation AGPA

Autor: Zuhrieh Shana, Shubair Abdulla

Publikováno v: Scopus-Elsevier

Educational Data Mining (EDM) is an emerging research area, in which techniques are applied for exploring data educational systems. Since Accumulated Grade Point Average (AGPA) is crucial in students’ professional lives, having data-driven profiles

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::67526fcc57726cf40e1e00d55e4c49dd
https://doi.org/10.15866/irecos.v10i6.6488

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