Browsing University of Bridgeport by Author "Abdulhammed, Razan"

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Access Analysis of GEO, MEO, & LEO Satellite Systems

An, Gukyoung; Pasnoori, Neha; Abdulhammed, Razan (2018-03-23)

The goal of this study is to calculate access duration and intervals for three different kinds of satellite schemes to support a WSN (wireless sensor network). The first scenario involves only LEO-level satellites. The ...
Detecting Malicious Behavior for the Sensors and Actuators Embedded in Medical Devices: A Hardware Approach

Abdulhammed, Razan; Faezipour, Miad; Elleithy, Khaled M. (2017-03-24)

The goal of this study is to investigate a behavior-rule based technique for detecting the malicious behavior of the sensors and actuators embedded in medical devices such as Vital Sign Monitor (VSM), Patient Analgesic ...
A Dynamic Clustering Algorithm for Object Tracking and Localization in WSN

Musafer, Hassan; Abdulhammed, Razan; Abdelfattah, Eman; Elleithy, Khaled M. (International Society for Computers and Their Applications, Inc., 2014-10-13)

A Wireless Sensor Network (WSN) is an assemblage of cooperative sensor nodes acting together into an environment to monitor an event of interest. However, one of the most limiting factors is the energy constrain for each ...
Features Dimensionality Reduction Approaches for Machine Learning Based Network Intrusion Detection

Abdulhammed, Razan; Musafer, Hassan; Alessa, Ali; Faezipour, Miad; Abuzneid, Abdelshakour A. (MDPI, 2019-03-14)

The security of networked systems has become a critical universal issue that influences individuals, enterprises and governments. The rate of attacks against networked systems has increased dramatically, and the tactics ...
Intrusion Detection: Embedded Software Machine Learning and Hardware Rules Based Co-Designs

Abdulhammed, Razan (2019-06-01)

Security of innovative technologies in future generation networks such as (Cyber Physical Systems (CPS) and Wi-Fi has become a critical universal issue for individuals, economy, enterprises, organizations and governments. ...
Machine Learning Approaches for Flow-Based Intrusion Detection Systems

Abdulhammed, Razan; Musafer, Hassan; Alessa, Ali; Faezipour, Miad; Abuzneid, Abdelshakour A. (2018-03-23)

In cybersecurity, machine/deep learning approaches can predict and detect threats before they result in major security incidents. The design and performance of an effective machine learning (ML) based Intrusion Detection ...
Machine Learning Based Feature Reduction for Network Intrusion Detection

Abuzneid, Abdelshakour A.; Faezipour, Miad; Abdulhammed, Razan; Abu Mallouh, Arafat; Musafer, Hassan (2019-03-29)

The security of networked systems has become a critical universal issue. The rate of attacks against networked systems has increased dramatically, and the tactics used by the attackers are continuing to evolve. Intrusion ...
Network intrusion detection using hardware techniques: A review

Abdulhammed, Razan; Faezipour, Miad; Elleithy, Khaled M. (IEEE, 2016-04)

The increasing amount of network throughput and security threat makes intrusion detection a major research problem. In the literature, intrusion detection has been approached by either a hardware or software technique. ...
Network Intrusion Detection Using Hardware Techniques: A Review

Abdulhammed, Razan; Faezipour, Miad; Elleithy, Khaled M. (2016-04-01)

The increasing amount of network throughput and security threat makes intrusion detection a major research problem. In the literature, intrusion detection has been approached by either a hardware or software technique. ...
Towards Efficient Features Dimensionality Reduction for Network Intrusion Detection on Highly Imbalanced Traffic

Abdulhammed, Razan; Musafer, Hassan; Faezipour, Miad; Abuzneid, Abdelshakour A. (2019-03-29)

The performance of an IDS is significantly improved when the features are more discriminative and representative. This research effort is able to reduce the CICIDS2017 dataset’s feature dimensions from 81 to 10, while ...

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Browsing University of Bridgeport by Author "Abdulhammed, Razan"

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