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Title: DEEP LEARNING-ASSISTED EPILEPSY DETECTION AND PREDICTION.
Creator: Saem, Raghdah Aldahr, Ilyas, Mohammad, Florida Atlantic University, Department of Computer and Electrical Engineering and Computer Science, College of Engineering and Computer Science
Abstract/Description: Epilepsy is a multifaceted neurological disorder characterized by superfluous and recurrent seizure activity. Electroencephalogram (EEG) signals are indispensable tools for epilepsy diagnosis that reflect real-time insights of brain activity. Recently, epilepsy researchers have increasingly utilized Deep Learning (DL) architectures for early and timely diagnosis. This research focuses on resolving the challenges, such as data diversity, scarcity, limited labels, and privacy, by proposing...
Show moreEpilepsy is a multifaceted neurological disorder characterized by superfluous and recurrent seizure activity. Electroencephalogram (EEG) signals are indispensable tools for epilepsy diagnosis that reflect real-time insights of brain activity. Recently, epilepsy researchers have increasingly utilized Deep Learning (DL) architectures for early and timely diagnosis. This research focuses on resolving the challenges, such as data diversity, scarcity, limited labels, and privacy, by proposing potential contributions for epilepsy detection, prediction, and forecasting tasks without impacting the accuracy of the outcome. The proposed design of diversity-enhanced data augmentation initially averts data scarcity and inter-patient variability constraints for multiclass epilepsy detection. The potential features are extracted using a graph theory-based approach by analyzing the inherently dynamic characteristics of augmented EEG data. It utilizes a novel temporal weight fluctuation method to recognize the drastic temporal fluctuations and data patterns realized in EEG signals. Designing the Siamese neural network-based few-shot learning strategy offers a robust framework for multiclass epilepsy detection.
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Date Issued: 2024
PURL: http://purl.flvc.org/fau/fd/FA00014523
Subject Headings: Deep learning (Machine learning), Epilepsy, Electroencephalography
Format: Document (PDF)

Title: HUMAN ACTIVITY RECOGNITION: INTEGRATING SENSOR FUSION AND ARTIFICIAL INTELLIGENCE.
Creator: Alanazi, Munid, Ilyas, Mohammad, Florida Atlantic University, Department of Computer and Electrical Engineering and Computer Science, College of Engineering and Computer Science
Abstract/Description: Human Activity Recognition (HAR) plays a crucial role in various applications, including healthcare, fitness tracking, security, and smart environments, by enabling the automatic classification of human actions based on sensor and visual data. This dissertation presents a comprehensive exploration of HAR utilizing machine learning, sensor-based data, and Fusion approaches. HAR involves classifying human activities over time by analyzing data from sensors such as accelerometers and gyroscopes....
Show moreHuman Activity Recognition (HAR) plays a crucial role in various applications, including healthcare, fitness tracking, security, and smart environments, by enabling the automatic classification of human actions based on sensor and visual data. This dissertation presents a comprehensive exploration of HAR utilizing machine learning, sensor-based data, and Fusion approaches. HAR involves classifying human activities over time by analyzing data from sensors such as accelerometers and gyroscopes. Recent advancements in computational technology and sensor availability have driven significant progress in this field, enabling the integration of these sensors into smartphones and other devices. The first study outlines the foundational aspects of HAR and reviews existing literature, highlighting the importance of machine learning applications in healthcare, athletics, and personal use. In the second study, the focus shifts to addressing challenges in handling large-scale, variable, and noisy sensor data for HAR systems. The research applies machine learning algorithms to the KU-HAR dataset, revealing that the LightGBM classifier outperforms others in key performance metrics such as accuracy, precision, recall, and F1 score. This study underscores the continued relevance of optimizing machine learning techniques for improved HAR systems. The study highlights the potential for future research to explore more advanced fusion techniques to fully leverage different data modalities for HAR. The third study focuses on overcoming common challenges in HAR research, such as varying smartphone models and sensor configurations, by employing data fusion techniques.
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Date Issued: 2024
PURL: http://purl.flvc.org/fau/fd/FA00014496
Subject Headings: Artificial intelligence, Human activity recognition, Detectors
Format: Document (PDF)

Title: MULTI-CLASS CLASSIFICATION TECHNIQUE TO DETECT IOT ATTACKS IN REAL TIME.
Creator: Alrefaei, Ahmed, Ilyas, Mohammad, Florida Atlantic University, Department of Computer and Electrical Engineering and Computer Science, College of Engineering and Computer Science
Abstract/Description: The Internet of Things (IoT) has undergone remarkable expansion in recent years, leading to a proliferation of devices capable of connecting to the internet, collecting data, and sharing information. However, this rapid growth has also introduced a myriad of security challenges, resulting in an uptick in cyber-attacks targeting IoT infrastructures. To mitigate these threats and ensure the integrity of data, researchers have been actively engaged in the development of robust Intrusion...
Show moreThe Internet of Things (IoT) has undergone remarkable expansion in recent years, leading to a proliferation of devices capable of connecting to the internet, collecting data, and sharing information. However, this rapid growth has also introduced a myriad of security challenges, resulting in an uptick in cyber-attacks targeting IoT infrastructures. To mitigate these threats and ensure the integrity of data, researchers have been actively engaged in the development of robust Intrusion Detection Systems (IDS) utilizing various machine learning (ML) techniques. This dissertation presents a comprehensive overview of three distinct approaches toward IoT intrusion detection, each leveraging ML methodologies to enhance security measures. The first approach focuses on a multi-class classification algorithm, integrating models such as random forest, logistic regression (LR), decision tree (DT), and Xgboost. Through meticulous evaluation utilizing evaluation metrics including F1 score, recall, and precision under the Receiver Operating Characteristics (ROC) curve, this approach demonstrates a remarkable 99 % accuracy in detecting IoT attacks. In the second approach, a deep ensemble model comprising Multilayer Perceptron (MLP), Convolutional Neural Network (CNN), and Long Short-Term Memory (LSTM) architectures is proposed for intrusion detection in IoT environments. Evaluation on the UNSW 2018 IoT Botnet dataset showcases the proficiency of this approach, achieving an accuracy of 98.4 % in identifying malicious activities. Lastly, the dissertation explores a real-time Intrusion Detection System (IDS) framework deployed within the Pyspark architecture, aimed at efficiently detecting IoT attacks while minimizing detection time.
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Date Issued: 2024
PURL: http://purl.flvc.org/fau/fd/FA00014498
Subject Headings: Internet of things, Intrusion detection systems (Computer security), Deep learning (Machine learning)
Format: Document (PDF)

Title: Adaptive hierarchical weighted fair queuing scheduling in WiMAX networks.
Creator: AL-Ghanem, Waleed Khalid, Ilyas, Mohammad, Mahgoub, Imad, Florida Atlantic University, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description: The growing demand for faster connection to the Internet service and wireless multimedia applications has motivated the development of broadband wireless access technologies in recent years. WiMAX has enabled convergence of mobile and fixed broadband networks through a common wide-area radio-access technology and flexible network architecture. Scheduling is a fundamental component in resource management in WiMAX networks and plays the main role in meeting QoS requirements such as delay,...
Show moreThe growing demand for faster connection to the Internet service and wireless multimedia applications has motivated the development of broadband wireless access technologies in recent years. WiMAX has enabled convergence of mobile and fixed broadband networks through a common wide-area radio-access technology and flexible network architecture. Scheduling is a fundamental component in resource management in WiMAX networks and plays the main role in meeting QoS requirements such as delay, throughput and packet loss for different classes of service. In this dissertation work, the performance of uplink schedulers at the fixed WiMAX MAC layer has been considered, we proposed an Adaptive Hierarchical Weighted Fair Queuing Scheduling algorithm, the new scheduling algorithm adapts to changes in traffic, at the same time; it is able to heuristically enhance the performance of WiMAX network under most circumstances. The heuristic nature of this scheduling algorithm enables the MAC layer to meet the QoS requirements of the users. The performance of this adaptive WiMAX Uplink algorithm has been evaluated by simulation using MATLAB. Results indicate that the algorithm is efficient in scheduling the Base Stations’ traffic loads, and improves QoS. The utilization of relay stations is studied and simulation results are compared with the case without using relay stations. The results show that the proposed scheduling algorithm improves Quality of Service of WiMAX system.
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Date Issued: 2014
PURL: http://purl.flvc.org/fau/fd/FA00004178, http://purl.flvc.org/fau/fd/FA00004178
Subject Headings: Computer networks -- Technological innovations, Optical fiber communication, Wireless communication systems -- Technological innovations, Wireless metropolitan area networks -- Security measures
Format: Document (PDF)

Title: Achieving Higher Receiver Satisfaction using Multicast-Favored Bandwidth Allocation Protocols.
Creator: Yousefizadeh, Hooman, Zilouchian, Ali, Ilyas, Mohammad, Florida Atlantic University, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description: In recent years, many protocols for efficient Multicasting have been proposed. However, many of the Internet Service Providers (ISPs) are reluctant to use multicastenabled routers in their networks. To provide such incentives, new protocols are needed to improve the quality of their services. The challenge is to find a compromise between allocating Bandwidth (BW) among different flows in a fair manner, and favoring multicast sessions over unicast sessions. In addition, the overall higher...
Show moreIn recent years, many protocols for efficient Multicasting have been proposed. However, many of the Internet Service Providers (ISPs) are reluctant to use multicastenabled routers in their networks. To provide such incentives, new protocols are needed to improve the quality of their services. The challenge is to find a compromise between allocating Bandwidth (BW) among different flows in a fair manner, and favoring multicast sessions over unicast sessions. In addition, the overall higher level of receiver satisfaction should be achieved. In this dissertation, we propose three new innovative protocols to favor multicast sessions over unicast sessions. Multicast Favored BW Allocation- Logarithmic (MFBA-Log) and Multicast Favored BW Allocation-Linear (MFBALin) protocols allocate BW proportional to the number of down stream receivers. The proposed Multicast Reserved BW Allocation (MRBA) protocol allocates part of the BW in the links only to multicast sessions. Simulation results show the increase in the overall level of Receiver Satisfaction in the network.
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Date Issued: 2006
PURL: http://purl.flvc.org/fau/fd/FA00012581
Subject Headings: Multicasting (Computer networks), Computer network protocols, Computer algorithms
Format: Document (PDF)

Title: Adaptive on-demand routing protocol for mobile ad hoc networks.
Creator: Omer, Ismail., Florida Atlantic University, Mahgoub, Imad, Ilyas, Mohammad, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description: Existing MANET routing protocols can be classified into three categories: On-demand, Proactive, and Proactive-On-demand hybrid protocols. This dissertation presents a novel hybrid MANET routing protocol, Adaptive On-demand MANET Routing (AOMAR) protocol. AOMAR borrowed the concepts of temporal location updates in operating systems and cache memories to reconstruct broken routes. Each route entry in a mobile host will have a reference field that is set to indicate whether the route is used...
Show moreExisting MANET routing protocols can be classified into three categories: On-demand, Proactive, and Proactive-On-demand hybrid protocols. This dissertation presents a novel hybrid MANET routing protocol, Adaptive On-demand MANET Routing (AOMAR) protocol. AOMAR borrowed the concepts of temporal location updates in operating systems and cache memories to reconstruct broken routes. Each route entry in a mobile host will have a reference field that is set to indicate whether the route is used within a certain period of time called refresh time. Using the refresh time parameter and the route reference field, AOMAR behavior can be controlled to behave as pure On-demand, Adaptive, or history related Proactive protocol. The three versions of AOMAR, On-demand, Adaptive and Proactive, have been simulated using different network sizes, loads and mobility patterns. Three performance metrics---throughput, delay and overhead---are collected. The results show that AOMAR on-demand has the same pattern of results when compared with other exiting on-demand protocols. On-demand AOMAR shows better performance when compared to Adaptive AOMAR for simulation sessions with uniform workloads. On the other hand Adaptive AOMAR outperforms On-demand AOMAR for simulation sessions with non-uniform workloads. Proactive AOMAR reconstructs recently used routes that have broken. Therefore, its routing overhead results change with the change of the network loads and mobility rates. This is not the case for traditional proactive protocols. Proactive AOMAR has lower control overhead and saves the bandwidth when compared with traditional existing proactive routing protocols. In addition to developing and simulating AOMAR, a new mobility model is proposed. Synchronized Random Direction Model of Motion with Constant Speed (SRDMCS) is a model that is suitable to emulate objects that move in random directions with a constant speed and within a certain area of movement. A new formula, Movement Related Update (MRU), is proposed and implemented. In MRU, the refresh period parameter value is linked to the network mobility level. Using MRU in the simulation gives AOMAR a third dimension such that the protocol not only adapts with how frequently the routes are used and how frequently they are broken, but also with how dynamic the network is.
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Date Issued: 2001
PURL: http://purl.flvc.org/fcla/dt/11972
Subject Headings: Mobile computing, Computer network protocols, Wireless communication systems
Format: Document (PDF)

Title: Design and implementation of a wireless ad hoc network.
Creator: Neelakanta, Mahesh., Florida Atlantic University, Hsu, Sam, Ilyas, Mohammad, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description: This thesis addresses issues faced in the practical implementation of a wireless ad hoc network (WAHN) protocol for data transmission. This study focuses on: (1) Evaluating existing hardware and software options available for the WAHN implementation. (2) Appraising the issues faced while implementing a practical wireless ad hoc protocol. (3) Applying a set of MAC protocol specifications developed for a wireless ad hoc data network to a practical test network. Specific to the above topics of...
Show moreThis thesis addresses issues faced in the practical implementation of a wireless ad hoc network (WAHN) protocol for data transmission. This study focuses on: (1) Evaluating existing hardware and software options available for the WAHN implementation. (2) Appraising the issues faced while implementing a practical wireless ad hoc protocol. (3) Applying a set of MAC protocol specifications developed for a wireless ad hoc data network to a practical test network. Specific to the above topics of interest, the following research tasks are performed: (1) An elaborate survey and relevant discussions on wireless MAC protocols. (2) A comprehensive study comparing various wireless transceivers is performed. Range, data rate, frequency, interfacing method and cost are the factors compared. (3) A simple, low-cost and low baud-rate transceiver is modified with appropriate interface circuits to support wireless communications. A more advanced transceiver is also considered and used for the software foundation of a practical implementation of the ad hoc and MAC protocols. The studies enable assessing the problems faced during the implementation and suggest solutions to resolve these problems. Further areas for study are also discussed.
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Date Issued: 1998
PURL: http://purl.flvc.org/fcla/dt/15615
Subject Headings: Wireless communication systems, Data transmission systems, Computer networks
Format: Document (PDF)

Title: Distributed management of heterogeneous networks using hypermedia data repositories.
Creator: Anderson, James M., Florida Atlantic University, Ilyas, Mohammad, Hsu, Sam, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description: Current management architectures address portions of the problem of managing high speed distributed networks; however, they do not provide a scalable end-to-end solution that can be applied to both large LAN and WAN high speed distributed networks. A new management architecture, "Web Integrated Network for Distributed Management Including Logic" (WINDMIL), is proposed to address the challenges of managing complex heterogeneous networks. The three primary components of the system are the...
Show moreCurrent management architectures address portions of the problem of managing high speed distributed networks; however, they do not provide a scalable end-to-end solution that can be applied to both large LAN and WAN high speed distributed networks. A new management architecture, "Web Integrated Network for Distributed Management Including Logic" (WINDMIL), is proposed to address the challenges of managing complex heterogeneous networks. The three primary components of the system are the Network Management Server (NMS), the Network Element Web Server (NEWS), and the Operator's Logic and Processing Platform (OLAPP). The NMS stores the management functions used by both the NEWS and the user. The NEWS is a Web server which collects and processes network element data in order to support management functions. The OLAPP executes the management functions and interfaces with the user.
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Date Issued: 1997
PURL: http://purl.flvc.org/fcla/dt/12502
Subject Headings: Computer network architectures, Internetworking (Telecommunication), Computer network protocols
Format: Document (PDF)

Title: PERFORMANCE EVALUATION OF THE EFFECTS OF MESSAGE SEGMENTATION IN TANDEM NODE COMPUTER NETWORKS.
Creator: LAMANNA, PETER JOHN., Florida Atlantic University, Ilyas, Mohammad, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description: Analytical and simulation performance evaluation results are presented on the effects of message segmentation and the validity of the Independence Assumption when applied to analytically modeling tandem node computer networks. Simulation results indicate that increasing message segmentation threshold will increase the network traffic intensity and consequently the total packet delay. Simulation and analytical results for total packet delay compared well only at low traffic intensities. At...
Show moreAnalytical and simulation performance evaluation results are presented on the effects of message segmentation and the validity of the Independence Assumption when applied to analytically modeling tandem node computer networks. Simulation results indicate that increasing message segmentation threshold will increase the network traffic intensity and consequently the total packet delay. Simulation and analytical results for total packet delay compared well only at low traffic intensities. At higher traffic intensities the discrepancy is due to the Independence Assumption since it does not account for the increasing dependency of interarrival times and service times as packets are made to wait at the nodes.
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Date Issued: 1986
PURL: http://purl.flvc.org/fcla/dt/14327
Subject Headings: Computer networks, Data transmission systems
Format: Document (PDF)

Title: Performance analysis of a very fast packet switching system for broadband ISDN.
Creator: Rao, Radha Nallur Seshagiri., Florida Atlantic University, Ilyas, Mohammad, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description: Rapid advances in technology have resulted in the evolution of Integrated Services Digital Networks (ISDNs) to Broadband ISDNs (BISDNs). This thesis discusses and evaluates the performance of a high speed and high capacity packet switching system architecture for BISDNs. This system supports various high speed communication services like data, voice, and video services. The main performance criterion is the mean switching delay, which is defined as the packet transfer delay through the bus...
Show moreRapid advances in technology have resulted in the evolution of Integrated Services Digital Networks (ISDNs) to Broadband ISDNs (BISDNs). This thesis discusses and evaluates the performance of a high speed and high capacity packet switching system architecture for BISDNs. This system supports various high speed communication services like data, voice, and video services. The main performance criterion is the mean switching delay, which is defined as the packet transfer delay through the bus and through the loop connecting various switch modules in the system. Other performance criteria are power and system throughput. The performance parameters are evaluated separately for both data and control (signaling) packets. The effects of the number of switch modules in the system, the data packet length, and the ratio of arrival rate of data to control packets are examined. It is observed that the switching delay and throughput increase with an increase in the traffic intensity for any number of switching modules and the ratio of arrival rate of data to control packets. The delay for data packets is found to be higher for lower values of this ratio and vice versa. The power is found to be maximum for about 70% load. The switching delay in this simulation model is found to be less than one millisecond for data packets.
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Date Issued: 1990
PURL: http://purl.flvc.org/fcla/dt/14603
Subject Headings: Packet switching (Data transmission), Integrated services digital networks, Broadband communication systems
Format: Document (PDF)

Title: A feedback-based multimedia synchronization technique for distributed systems.
Creator: Ehley, Lynnae Anne., Florida Atlantic University, Ilyas, Mohammad, Furht, Borko, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description: Multimedia applications incorporate the use of more than one type of media, i.e., voice, video, data, text and image. With the advances in high-speed communication, the ability to transmit multimedia is becoming widely available. One of the means of transport for multimedia in distributed networks is Broadband Integrated Services Digital Network (B-ISDN). B-ISDN supports the transport of large volumes of data with a low error rate. It also handles the burstiness of multimedia traffic by...
Show moreMultimedia applications incorporate the use of more than one type of media, i.e., voice, video, data, text and image. With the advances in high-speed communication, the ability to transmit multimedia is becoming widely available. One of the means of transport for multimedia in distributed networks is Broadband Integrated Services Digital Network (B-ISDN). B-ISDN supports the transport of large volumes of data with a low error rate. It also handles the burstiness of multimedia traffic by providing dynamic bandwidth allocation. When multimedia is requested for transport in a distributed network, different Quality of Service (QOS) may be required for each type of media. For example, video can withstand more errors than voice. In order to provide, the most efficient form of transfer, different QOS media are sent using different channels. By using different channels for transport, jitter can impose skews on the temporal relations between the media. Jitter is caused by errors and buffering delays. Since B-ISDN uses Asynchronous Transfer Mode (ATM) as its transfer mode, the jitter that is incurred can be assumed to be bounded if traffic management principles such as admission control and resource reservation are employed. Another network that can assume bounded buffering is the 16 Mbps token-ring LAN when the LAN Server (LS) Ultimedia(TM) software is applied over the OS/2 LAN Server(TM) (using OS/2(TM)). LS Ultimedia(TM) reserves critical resources such as disk, server processor, and network resources for multimedia use. In addition, it also enforces admission control(1). Since jitter is bounded on the networks chosen, buffers can be used to realign the temporal relations in the media. This dissertation presents a solution to this problem by proposing a Feedback-based Multimedia Synchronization Technique (FMST) to correct and compensate for the jitter that is incurred when media are received over high speed communication channels and played back in real time. FMST has been implemented at the session layer for the playback of the streams. A personal computer was used to perform their synchronized playback from a 16 Mbps token-ring and from a simulated B-ISDN network.
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Date Issued: 1994
PURL: http://purl.flvc.org/fcla/dt/12382
Subject Headings: Multimedia systems, Broadband communication systems, Data transmission systems, Integrated services digital networks, Electronic data processing--Distributed processing
Format: Document (PDF)

Computer network protocols (9)	+ -
Integrated services digital networks (9)	+ -
Computer networks (8)	+ -
Local area networks (Computer networks) (7)	+ -
Packet switching (Data transmission) (6)	+ -

Asynchronous transfer mode (5)	+ -
Data transmission systems (5)	+ -
Wireless communication systems (5)	+ -
Computer network architectures (4)	+ -
Mobile computing (4)	+ -
Broadband communication systems (3)	+ -
Computer networks--Management (3)	+ -
Telecommunication--Traffic (3)	+ -
Bluetooth technology (2)	+ -
Broadband communications systems (2)	+ -
Computer architecture (2)	+ -
Deep learning (Machine learning) (2)	+ -
IBM Token-Ring Network (Local area network system) (2)	+ -
Internet of things (2)	+ -
Internetworking (Telecommunication) (2)	+ -
Intrusion detection systems (Computer security) (2)	+ -
Metropolitan area networks (Computer networks) (2)	+ -
Acknowledgements (1)	+ -
Artificial intelligence (1)	+ -
Artificial satellites in telecommunication (1)	+ -
Cellular telephone systems (1)	+ -
Code division multiple access (1)	+ -
Computer algorithms (1)	+ -
Computer interfaces (1)	+ -
Computer networks -- Technological innovations (1)	+ -

Florida Atlantic University (51)	+ -
Ilyas, Mohammad (51)	+ -
College of Engineering and Computer Science (36)	+ -
Department of Computer and Electrical Engineering and Computer Science (36)	+ -
Hsu, Sam (3)	+ -

Mahgoub, Imad (2)	+ -
Syed, Majid Ali (2)	+ -
AL-Ghanem, Waleed Khalid (1)	+ -
Ahson, Syed Alamdar. (1)	+ -
AlFadhel, Fahad A. (1)	+ -
Alanazi, Munid (1)	+ -
Alotaibi, Yazeed (1)	+ -
Alrefaei, Ahmed (1)	+ -
Anderson, James M. (1)	+ -
BALACHANDRAN, CHITRA. (1)	+ -
Bansal, Atul. (1)	+ -
Bemmel, Vincent Egbert. (1)	+ -
Bogotch, Ira (1)	+ -
Bothra, Piyush. (1)	+ -
Chauhan, Sanjeev Birbal. (1)	+ -
Choi, Kwok K. (1)	+ -
Chokshi, Patheek G. (1)	+ -
College of Education (1)	+ -
DA RE, MARIA. (1)	+ -
Department of Educational Leadership and Research Methodology (1)	+ -
Ehley, Lynnae Anne. (1)	+ -
Eskamaei, Mehdi. (1)	+ -
Frost, Sandra Lynn. (1)	+ -
Furht, Borko (1)	+ -
HUYNH, LAP THIET. (1)	+ -

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