Browsing Faculty Contributions by Author "Chkirbene Z."
Now showing items 1-13 of 13
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A Combined Decision for Secure Cloud Computing Based on Machine Learning and Past Information
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)Cloud computing has been presented as one of the most efficient techniques for hosting and delivering services over the internet. However, even with its wide areas of application, cloud security is still a major concern ... -
A Weighted Machine Learning-Based Attacks Classification to Alleviating Class Imbalance
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)The Industrial Internet of Things (IIoT) has become very popular in recent years. However, IIoT is still an attractive and vulnerable target for attackers to exploit and experiment with different types of attacks. To ... -
Deep Reinforcement Learning for Network Selection over Heterogeneous Health Systems
( IEEE Computer Society , 2022 , Article)Smart health systems improve our quality oflife by integrating diverse information and technologies into health and medical practices. Such technologies can significantly improve the existing health services. However, ... -
EEG-based Analysis Study for Patients Receiving Intravenous Antibiotic Medication
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)In this paper, we conduct a biological data collection and analysis study for patients undergoing routine planned intravenous antibiotic treatment. The acquired data (i.e., Electroencephalogram (EEG), temperature and blood ... -
Efficient techniques for energy saving in data center networks
( Elsevier B.V. , 2018 , Article)Data centers are constructed with a huge number of network devices to support the expanding cloud based services. These devices are used to achieve the highest performance in case of full utilization of the network. However, ... -
Energy-efficient networks selection based deep reinforcement learning for heterogeneous health systems
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference Paper)Smart health systems improve the existing health services by integrating information and technology into health and medical practices. However, smart healthcare systems are facing major challenges including limited network ... -
Exploiting Traffic Correlation Towards Energy Saving in Data Centers
( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)Many proposed data center architectures are constructed with a huge number of network devices in order to support the increasing cloud based services. These devices are used to achieve the highest performance in case of ... -
Iterative per Group Feature Selection for Intrusion Detection
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)Network security is an critical subject in any distributed network. Recently, machine learning has proven their efficiency for intrusion detection. By using a comprehensive dataset with multiple attack types, a well-trained ... -
Machine Learning Based Cloud Computing Anomalies Detection
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)Recently, machine learning algorithms have been proposed to design new security systems for anomalies detection as they exhibit fast processing with real-time predictions. However, one of the major challenges in machine ... -
Optimization on ports activation towards energy efficient data center networks
( Springer Verlag , 2018 , Conference Paper)Nowadays, Internet of thing including network support (i.e. checking social media, sending emails, video conferencing) requires smart and efficient data centers to support these services. Hence, data centers become more ... -
Smart Edge Healthcare Data Sharing System
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)Smart health systems improve the efficiency of healthcare infrastructures and biomedical systems by integrating information and technology into health and medical practices. However, reliability, scalabilty and latency are ... -
TIDCS: A Dynamic Intrusion Detection and Classification System Based Feature Selection
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)Machine learning techniques are becoming mainstream in intrusion detection systems as they allow real-time response and have the ability to learn and adapt. By using a comprehensive dataset with multiple attack types, a ... -
Weighted Trustworthiness for ML Based Attacks Classification
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)Recently, machine learning techniques are gaining a lot of interest in security applications as they exhibit fast processing with real-time predictions. One of the significant challenges in the implementation of these ...