INTELLIGENCE CLUSTERS HEAD SELECTION AND RELIABILITY ROUTING USING TRIPARTITE MACHINE FRAMEWORK WITH ADAPTIVE CONTEXTUAL ROUTING PROTOCOL IN WBSN Journal of Engineering Science and Technology, 2025
Wireless Body Sensor Networks: A Review of Energy-Saving Techniques and Security Challenges Jebur, Tuqa Kareem, Lourdes, Peñalver, Lloret, Jaime, Hoomod, Haider K. Proceedings of International Conference on Applied Innovation in IT, 2025 There are many technologies used in monitoring patients and providing healthcare to them. One of the most important systems that have been used is wireless body sensor networks. These networks collect a set of physiological data related to the body and then process it. However, this type of network faces many problems, one of which is the small size of this type of network, which leads to energy consumption. Therefore, this type of problem leads to short battery life of the sensor node. Therefore, this type of paper has been studied for the purpose of analysing or providing current improvements in energy efficiency. Energy is also consumed when security is provided in because this type of processor requires consuming a large amount of energy. Therefore, this paper was presented, which covered research from 2019 to 2024. This research focused on providing key solutions to solve the energy problem, as well as the energy-saving protocols used, the hybrid methods that were used, and the machine learning processes that were used to improve energy methodologies and also provide security. For the network, the results revealed during this type of studies that the network lifetime was improved by 60 to 70% using hybrid algorithms, while routing algorithms based on energy consumption processes that are based on groups have a consumption rate of 30 to 50% compared to standard methods. In addition, there are security features that play a fundamental role in this type of network, such as the use of encryption and simple authentication procedures, which played an important role in achieving a balance between energy consumption and data protection. These references or the results obtained and the comparison of research among them are considered a reference for practitioners who seek to improve security and energy consumption in wireless sensor networks.
IMPROVE SECURITY FOR MOBILE AD HOCK NETWORK USING MODIFIED WHALE ALGORITHM AND DEEP LEARNING TECHNOLOGY Journal of Engineering Science and Technology, 2024
Proposed Hybrid Secured Method to Protect Against DDOS in n Vehicular Adhoc Network (VANET) Tuka Kareem Jebur International Journal of Interactive Mobile Technologies, 2023 Security and safety are critical concerns in Vehicular Adhoc Networks. vulnerable to Distributed Denial of Service (DDoS) attacks, which occur when multiple vehicles carry out various tasks. This cause disrupts the normal functioning of legitimate routes. In this work, the Hybrid PSO-BAT Optimization Algorithm (HBPSO) Algorithm based on modified chaos -cellular neural network (Chaos - CNN) approaches has been proposed to overcome DDoS attacks. The suggest approaches consists of three-part which are hybrid optimization search algorithm to enhance the route from source to destination, chaos theory module is used to detect the abnormal nodes, then on Modified Chaotic CNN (MCCN) employed to prevent a malicious node from sending data to the destination by determining node that consumer more resource, packets lose or the victim could reset the path between the attacker and itself. CICIDS dataset has been used to test and evaluate the performance of the proposed approach based on the criteria of accuracy, packet loss, and jitter. The Chaos - CNN approached results to outperform similar models of the related work and the approach protects the VANETs with high accuracy of 0.8736, specificity of 0.9959, TPR of 0.9561, and FPR of 0.78, Detection rate 0.9561.
An IDS based on modified chaos Elman’s neural network approaches for securing mobile ad hoc networks against DDoS attack Tuka Kareem Jebuer Journal of Discrete Mathematical Sciences and Cryptography, 2022 A mobile ad hoc network (MANETs) is a collection of moving nodes that combine into a network with no predefined infrastructure. There are many types of attacks that could target MANETS, one among them is Distributed Denial of service attacks (DDoS). DDoS is defined as attacking routing functions and taking down the entire operation of the mobile ad hoc network. The two primary victims of DDoS attacks are the functions of routing and battery capacity. The DDoS attack can cause routing table overflow which in turn can potentially cause the infected node floods. The routing overflow is followed by creating a fake route packet to consume the available resources of the participating active nodes. This cause disrupts the normal functioning of legitimate routes. In recent years, different approaches are implemented to improve the security level of MANET. In this work, the Cuckoo Search Algorithm-based Modified Elman’s Neural Network (CSA - MENN) approaches have been proposed to overcome DDoS attacks. The CSA - MENN approaches consists of three-part which are Cuckoo search algorithm clustering area to enhance the route from source to destination, chaos theory module is used to detect the abnormal nodes, then the Modified Elman Neural Network (MENN) is employed to prevent a malicious node from sending data to the destination by determining node that consumed more resources. Packets could be lost or the victim could reset the path between the attacker and itself. CICIDS dataset has been used to test and evaluate the performance of the proposed approach based on the criteria of accuracy, packet loss, and jitter. The data set, CICIDS 2017, used in this article divides the data into 7 groups: 5 for training, 1 for validation, and 1 for generalization. In summary, approximately 71.4 percent of data is used for training and 28.6 percent for validation and generalization.
FINDING OPTIMAL and RELIABLE PATH in MOBILE SINK WIRELESS SENSOR NETWORK by APPLYING GENATIC OPTMIZATION CELLULER NEURAL NETWORK(GO-CNN) Journal of Engineering Science and Technology, 2021
Implantation modified deep echo state neural networks and improve harmony clustering algorithm for optimal and energy efficient path in mobile sink Tuka Kareem Jebur Periodicals of Engineering and Natural Sciences, 2021 Wireless network sensors based on the mobile sink are regarded to be a common network and used in various fields in the last few years, they are thought to be easy to use, but contain the problem of energy loss and are affected by an energy hole problem, as it depends on batteries. This paper proposes a solution to this problem by using an innovative objective function for a consistent distributing of cluster heads, the enhanced harmony search based routing protocols based on energy equilibrated node clustering protocol. In order to route the data packet among the sink and cluster heads, an enhanced modified deep echo state neural network is suggested. The efficiency of a projected integrated clustering and routing protocol has been investigated at 500 nodes, and the 96 per cent success data for the proposed algorithm is given using the average energy consumption, send and receive packaged and optimum numbers of CH.
Applying self-organizing map and modified radial based neural network for clustering and routing optimal path in wireless network Haider K Hoomod, Tuka Kareem Jebur Journal of Physics Conference Series, 2018 Several methods have been developed for routing problem in MANETs wireless network, because it considered very important problem in this network ,we suggested proposed method based on modified radial basis function networks RBFN and Kmean++ algorithm. The modification in RBFN for routing operation in order to find the optimal path between source and destination in MANETs clusters. Modified Radial Based Neural Network is very simple, adaptable and efficient method to increase the life time of nodes, packet delivery ratio and the throughput of the network will increase and connection become more useful because the optimal path has the best parameters from other paths including the best bitrate and best life link with minimum delays. The results show how the proposed routing algorithm produces higher speed comparing with Dijkstra algorithm and finds the optimal path in addition to shortest path. Proposed routing algorithm depends on the group of factors and parameters to select the path between two points in the wireless network.
RECENT SCHOLAR PUBLICATIONS
INTELLIGENCE CLUSTERS HEAD SELECTION AND RELIABILITY ROUTING USING TRIPARTITE MACHINE FRAMEWORK WITH ADAPTIVE CONTEXTUAL ROUTING PROTOCOL IN WBSN TK JEBUR, P LOURDES, J LLORET, HK HOOMOD Journal of Engineering Science and Technology 20 (6), 1673-1694 , 2025 2025
Wireless Body Sensor Networks: A Review of Energy-Saving Techniques and Security Challenges TK Jebur, P Lourdes, J Lloret, HK Hoomod Proceedings of International Conference on Applied Innovation in IT 13 (2 … , 2025 2025 Citations: 1
Fuzzy logic Based Seagull Optimization Algorithm for Efficiency and Security in Wireless Sensor Networks T jebuer Journal of Electronics, Computer Networking and Applied Mathematics (JECNAM … , 2024 2024
Integrating Sandpiper Optimization Algorithm and Secure Aware Routing Protocol for Efficient Cluster Head Selection in Wireless Sensor Networks TK Jebur International Conference on Computing and Communication Networks, 109-120 , 2023 2023
Greening the Internet of Things: A Comprehensive Review of Sustainable IoT Solutions from An Educational Perspective T jebuer Indonesian Journal of Educational Research and Technology , 2023 2023 Citations: 31
Securing Wireless Sensor Networks, Types of Attacks, and Detection/Prevention Techniques, An Educational Perspective" T jebuer ASEAN Journal of Science and Engineering Education , 2023 2023 Citations: 15
An IDS based on modified chaos Elman’s neural network approaches for securing mobile ad hoc networks against DDoS attack TK Jebuer Journal of Discrete Mathematical Sciences and Cryptography 25 (8), 2759-2764 , 2022 2022 Citations: 4
FINDING OPTIMAL AND RELIABLE PATH IN MOBILE SINK WIRELESS SENSOR NETWORK BY APPLYING GENATIC OPTMIZATION CELLULER NEURAL NETWORK(GO-CNN) T jebuer Journal of Engineering Science and Technology , 2021 2021 Citations: 2
HPSGNN: A Hybrid of Particle Swarm and Genetic Neural Network System to Defense Against Blackhole Attack Targeting MANETs T jebuer Proceedings of the 1st International Conference on Computing and Emerging … , 2021 2021
Implantation modified deep echo state neural networks and improve harmony clustering algorithm for optimal and energy efficient path in mobile sink T jebuer Periodicals of Engineering and Natural Sciences 9 (1), 48 , 2021 2021 Citations: 1
Review: application and challenge IN Internet of Things IOT T jebuer International Journal of Psychosocial Rehabilitation 24 (7), 4300-4303 , 2020 2020
Applying Modified Genetic Radial Basis Function Neural Network (MGRBFNN) to Predicting exchange rate future movements (An Empirical Study on a sample of currencies traded in … TKJ Abdulkadhim M. Queen1 Kafaa Ali Alborgeef*2 Journal of Xi'an University of Architecture & Technology 6121 (XII) , 2020 2020
Using Zone-Sampling Based Trace Back Algorithm and Modified Echo State Networks to Detect and Prevent Denial-of-Service Attacks in MANETs T jebuer FILOMAT JOURNAL 33 (2406-0933) , 2019 2019
Applying self-organizing map and modified radial based neural network for clustering and routing optimal path in wireless network HK Hoomod, TK Jebur Journal of Physics: Conference Series 1003 (1), 012040 , 2018 2018 Citations: 12
Modified radial based neural network for clustering and routing optimal path in wireless network HK Hoomod, TK Jebur Ibn AL-Haitham Journal For Pure and Applied Sciences 30 (2), 233-244 , 2017 2017 Citations: 3
Fast Mobile Wireless Network Routing based on the Clustering and Chaos-CNN حيدر كاظم حمود, تقى كريم جبر مجلة كلية التربية 18 (1), 63-80 , 2017 2017
MOST CITED SCHOLAR PUBLICATIONS
Greening the Internet of Things: A Comprehensive Review of Sustainable IoT Solutions from An Educational Perspective T jebuer Indonesian Journal of Educational Research and Technology , 2023 2023 Citations: 31
Securing Wireless Sensor Networks, Types of Attacks, and Detection/Prevention Techniques, An Educational Perspective" T jebuer ASEAN Journal of Science and Engineering Education , 2023 2023 Citations: 15
Applying self-organizing map and modified radial based neural network for clustering and routing optimal path in wireless network HK Hoomod, TK Jebur Journal of Physics: Conference Series 1003 (1), 012040 , 2018 2018 Citations: 12
An IDS based on modified chaos Elman’s neural network approaches for securing mobile ad hoc networks against DDoS attack TK Jebuer Journal of Discrete Mathematical Sciences and Cryptography 25 (8), 2759-2764 , 2022 2022 Citations: 4
Modified radial based neural network for clustering and routing optimal path in wireless network HK Hoomod, TK Jebur Ibn AL-Haitham Journal For Pure and Applied Sciences 30 (2), 233-244 , 2017 2017 Citations: 3
FINDING OPTIMAL AND RELIABLE PATH IN MOBILE SINK WIRELESS SENSOR NETWORK BY APPLYING GENATIC OPTMIZATION CELLULER NEURAL NETWORK(GO-CNN) T jebuer Journal of Engineering Science and Technology , 2021 2021 Citations: 2
Wireless Body Sensor Networks: A Review of Energy-Saving Techniques and Security Challenges TK Jebur, P Lourdes, J Lloret, HK Hoomod Proceedings of International Conference on Applied Innovation in IT 13 (2 … , 2025 2025 Citations: 1
Implantation modified deep echo state neural networks and improve harmony clustering algorithm for optimal and energy efficient path in mobile sink T jebuer Periodicals of Engineering and Natural Sciences 9 (1), 48 , 2021 2021 Citations: 1
INTELLIGENCE CLUSTERS HEAD SELECTION AND RELIABILITY ROUTING USING TRIPARTITE MACHINE FRAMEWORK WITH ADAPTIVE CONTEXTUAL ROUTING PROTOCOL IN WBSN TK JEBUR, P LOURDES, J LLORET, HK HOOMOD Journal of Engineering Science and Technology 20 (6), 1673-1694 , 2025 2025
Fuzzy logic Based Seagull Optimization Algorithm for Efficiency and Security in Wireless Sensor Networks T jebuer Journal of Electronics, Computer Networking and Applied Mathematics (JECNAM … , 2024 2024
Integrating Sandpiper Optimization Algorithm and Secure Aware Routing Protocol for Efficient Cluster Head Selection in Wireless Sensor Networks TK Jebur International Conference on Computing and Communication Networks, 109-120 , 2023 2023
HPSGNN: A Hybrid of Particle Swarm and Genetic Neural Network System to Defense Against Blackhole Attack Targeting MANETs T jebuer Proceedings of the 1st International Conference on Computing and Emerging … , 2021 2021
Review: application and challenge IN Internet of Things IOT T jebuer International Journal of Psychosocial Rehabilitation 24 (7), 4300-4303 , 2020 2020
Applying Modified Genetic Radial Basis Function Neural Network (MGRBFNN) to Predicting exchange rate future movements (An Empirical Study on a sample of currencies traded in … TKJ Abdulkadhim M. Queen1 Kafaa Ali Alborgeef*2 Journal of Xi'an University of Architecture & Technology 6121 (XII) , 2020 2020
Using Zone-Sampling Based Trace Back Algorithm and Modified Echo State Networks to Detect and Prevent Denial-of-Service Attacks in MANETs T jebuer FILOMAT JOURNAL 33 (2406-0933) , 2019 2019
Fast Mobile Wireless Network Routing based on the Clustering and Chaos-CNN حيدر كاظم حمود, تقى كريم جبر مجلة كلية التربية 18 (1), 63-80 , 2017 2017
Publications
Applying self-organizing map and modified radial based neural network for clustering and routing optimal path in wireless network
HK Hoomod, TK Jebur
Journal of Physics: Conference Series 1003 (1), 012040
8 2018
FINDING OPTIMAL AND RELIABLE PATH IN MOBILE SINK WIRELESS SENSOR NETWORK BY APPLYING GENATIC OPTMIZATION CELLULER NEURAL NETWORK(GO-CNN)
T jebuer
Journal of Engineering Science and Technology
2021
HPSGNN: A Hybrid of Particle Swarm and Genetic Neural Network System to Defense Against Blackhole Attack Targeting MANETs
T jebuer
Proceedings of the 1st International Conference on Computing and Emerging …
2021
Implantation modified deep echo state neural networks and improve harmony clustering algorithm for optimal and energy efficient path in mobile sink
T jebuer
Periodicals of Engineering and Natural Sciences 9 (1), 48
2021
Review: application and challenge IN Internet of Things IOT
T jebuer
International Journal of Psychosocial Rehabilitation 24 (7), 4300-4303
2020
Applying Modified Genetic Radial Basis Function Neural Network (MGRBFNN) to Predicting exchange rate future movements (An Empirical Study on a sample of currencies traded in …
TKJ Abdulkadhim M. Queen1 Kafaa Ali Alborgeef*2
Journal of Xi'an University of Architecture & Technology 6121 (XII)
2020
Using Zone-Sampling Based Trace Back Algorithm and Modified Echo State Networks to Detect and Prevent Denial-of-Service Attacks in MANETs
T jebuer
FILOMAT JOURNAL 33 (2406-0933)
2019
Modified Radi
