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2020 – today
- 2024
[c43]Soraya Harding
, Mo Adda:
Multi-Blockchain Model for IoT Devices Forensic Investigations on Spidernet. CSR 2024: 120-126- 2022
- [c42]Boriana Vatchova, Mo Adda, Yordanka Boneva, Alexander E. Gegov:
Fuzzy Control of Traffic Junctions in Undersaturated Urban Networks. BlackSeaCom 2022: 96-101 - 2021
- [c41]Chuck Easttom, Mo Adda:
Application of the Spectra of Graphs in Network Forensics. CCWC 2021: 846-852 - [c40]David A. Sanders, Malik Haddad, Giles Tewkesbury, Alexander E. Gegov, Mo Adda:
Are Human Drivers a Liability or an Asset? IntelliSys (1) 2021: 805-816 - [c39]Nancy Scheidt, Mo Adda, Lucas Chateau, Yasin Emir Kutlu:
Forensic Tools for IoT Device Investigations in regards to Human Trafficking. SmartIoT 2021: 1-7 - 2020
- [j10]Gulsum Akkuzu, Benjamin Aziz, Mo Adda:
Towards Consensus-Based Group Decision Making for Co-Owned Data Sharing in Online Social Networks. IEEE Access 8: 91311-91325 (2020) - [j9]Ali Malik, Benjamin Aziz, Mo Adda, Chih-Heng Ke:
Smart routing: Towards proactive fault handling of software-defined networks. Comput. Networks 170: 107104 (2020) - [c38]Muntadher Fadhil Sallal, Gareth Owenson, Mo Adda:
Evaluation of Security and Performance of Master Node Protocol in the Bitcoin Peer-to-Peer Network. IEEE ICBC 2020: 1-3 - [c37]Gulsum Akkuzu, Benjamin Aziz, Mo Adda:
Towards Secure Data Sharing Processes in Online Social Networks: Trusty. ICSOFT 2020: 418-425 - [c36]Gulsum Akkuzu, Benjamin Aziz, Mo Adda:
Application of Extended IOWA Operator for Making Group Decision on Co-owned Contents in Online Social Networks (OSNs). IEEE Conf. on Intelligent Systems 2020: 31-37 - [c35]Nancy Scheidt, Gulsum Akkuzu, Mo Adda:
Making Decision on Sharing Forensic Data with the Fuzzy Logic Approach. IEEE Conf. on Intelligent Systems 2020: 44-50 - [c34]Nancy Scheidt, Mo Adda:
Identification of IoT Devices for Forensic Investigation. IEEE Conf. on Intelligent Systems 2020: 165-170 - [c33]Muntadher Fadhil Sallal, Gareth Owenson, Mo Adda:
Security and Performance Evaluation of Master Node Protocol in the Bitcoin Peer-to-Peer Network. ISCC 2020: 1-6 - [c32]Omar Ali, Nancy Scheidt, Alexander E. Gegov, Ella Haig, Mo Adda, Benjamin Aziz:
Automated Detection of Racial Microaggressions using Machine Learning. SSCI 2020: 2477-2484
2010 – 2019
- 2019
- [c31]Gulsum Akkuzu, Benjamin Aziz, Mo Adda:
A Fuzzy Modeling Approach for Group Decision Making in Social Networks. BIS (2) 2019: 74-85 - [c30]Zirak Allaf, Mo Adda, Alexander E. Gegov:
TrapMP: Malicious Process Detection By Utilising Program Phase Detection. Cyber Security 2019: 1-8 - [c29]Gulsum Akkuzu, Benjamin Aziz, Mo Adda:
Fuzzy Logic Decision based Collaborative Privacy Management Framework for Online Social Networks. ICISSP 2019: 674-684 - [c28]Zirak Allaf, Mo Adda, Alexander E. Gegov:
Malicious Loop Detection Using Support Vector Machine. INISTA 2019: 1-6 - [c27]Karwan Qader, Mo Adda:
DOS and Brute Force Attacks Faults Detection Using an Optimised Fuzzy C-Means. INISTA 2019: 1-6 - [c26]Raheleh Jafari, Sina Razvarz, Wen Yu, Alexander E. Gegov, Morten Goodwin, Mo Adda:
Genetic Algorithm Modeling for Photocatalytic Elimination of Impurity in Wastewater. IntelliSys (1) 2019: 228-236 - [c25]Ogechukwu Okonor, Mo Adda, Alexander E. Gegov, David A. Sanders, Malik Jamal Musa Haddad, Giles Tewkesbury:
Intelligent Approach to Minimizing Power Consumption in a Cloud-Based System Collecting Sensor Data and Monitoring the Status of Powered Wheelchairs. IntelliSys (1) 2019: 694-710 - [c24]Gulsum Akkuzu, Benjamin Aziz, Mo Adda:
Advantages of Having Users' Trust and Reputation Values on Data Sharing Process in Online Social Networks. SNAMS 2019: 189-195 - [i2]Ali Malik, Benjamin Aziz, Mo Adda, Chih-Heng Ke:
Smart Routing: Towards Proactive Fault-Handling in Software-Defined Networks. CoRR abs/1904.00717 (2019) - [i1]Ali Malik, Benjamin Aziz, Ali Al-Haj, Mo Adda:
Software-defined networks: A walkthrough guide from occurrence To data plane fault tolerance. PeerJ Prepr. 7: e27624 (2019) - 2018
- [j8]Humphrey Emesowum, Athanasios Paraskelidis, Mo Adda:
Fault Tolerance and Graceful Performance Degradation in Cloud Data Center. J. Comput. 13(8): 889-896 (2018) - [c23]Humphrey Emesowum, Athanasios Paraskelidis, Mo Adda:
Achieving a Fault Tolerant and Reliable Cloud Data Center Network. SCC 2018: 201-208 - [c22]Zirak Allaf, Mo Adda, Alexander E. Gegov:
ConfMVM: A Hardware-Assisted Model to Confine Malicious VMs. UKSim 2018: 49-54 - 2017
- [j7]Ali Malik, Benjamin Aziz, Mo Adda, Chih-Heng Ke:
Optimisation Methods for Fast Restoration of Software-Defined Networks. IEEE Access 5: 16111-16123 (2017) - [j6]Humphrey Emesowum, Athanasios Paraskelidis, Mo Adda:
Fault Tolerance Improvement for Cloud Data Center. J. Commun. 12(7): 412-418 (2017) - [j5]Mo Adda, Adamantini Peratikou:
Routing and Fault Tolerance in Z-Fat Tree. IEEE Trans. Parallel Distributed Syst. 28(8): 2373-2386 (2017) - [c21]Humphrey Emesowum, Athanasios Paraskelidis, Mo Adda:
Fault tolerance capability of cloud data center. ICCP 2017: 495-502 - [c20]Muntadher Fadhil Sallal, Gareth Owenson, Mo Adda:
Proximity Awareness Approach to Enhance Propagation Delay on the Bitcoin Peer-to-Peer Network. ICDCS 2017: 2411-2416 - [c19]Ali Malik, Benjamin Aziz, Chih-Heng Ke, Han Liu, Mo Adda:
Virtual topology partitioning towards an efficient failure recovery of software defined networks. ICMLC 2017: 646-651 - [c18]Muntadher Fadhil Sallal, Gareth Owenson, Mo Adda:
Locality based approach to improve propagation delay on the Bitcoin peer-to-peer network. IM 2017: 556-559 - [c17]Jean Tajer, Mo Adda, Benjamin Aziz:
New Computing Model for Securing Mobile Agents in IP Networks. IoTBDS 2017: 232-238 - [c16]Zirak Allaf, Mo Adda, Alexander E. Gegov:
A Comparison Study on Flush+Reload and Prime+Probe Attacks on AES Using Machine Learning Approaches. UKCI 2017: 203-213 - 2016
- [c15]Muntadher Fadhil Sallal, Gareth Owenson, Mo Adda:
A Bitcoin Model for Evaluation of Clustering to Improve Propagation Delay in Bitcoin Network. CSE/EUC/DCABES 2016: 468-475 - [c14]Mohamed Bahy Bader-El-Den, Eleman Teitei, Mo Adda:
Hierarchical classification for dealing with the Class imbalance problem. IJCNN 2016: 3584-3591 - [c13]Muntadher Fadhil Sallal, Gareth Owen, Mo Adda:
Bitcoin Network Measurements for Simulation Validation and Parameterization . INC 2016: 109-114 - 2014
- [c12]Karwan Qader, Mo Adda:
Fault Classification System for Computer Networks Using Fuzzy Probabilistic Neural Network Classifier (FPNNC). EANN 2014: 217-226 - 2011
- [j4]Asad Ahmad Khan, Mo Adda, Tahir Ahmad Khan:
LRPF: an RF coverage reporting protocol for LTE systems. IEEE Wirel. Commun. 18(6): 64-72 (2011) - 2010
- [c11]Mo Adda, Adamantini Peratikou, Djazia Ghefir:
Detecting Network Faults with Filtering. Security and Management 2010: 481-486 - [c10]Frederic T. Stahl, Max Bramer, Mo Adda:
J-PMCRI: A Methodology for Inducing Pre-pruned Modular Classification Rules. IFIP AI 2010: 47-56 - [c9]Maya Dimitrova, Anna K. Lekova, Mo Adda:
Personality Filter in Mobile Networks with Communication Constraints. SYNASC 2010: 565-568
2000 – 2009
- 2009
- [j3]Asad Ahmad Khan, Mo Adda, Carl Adams:
Convergence of terrestrial and satellite mobile communication systems: an operator's perspective. Int. J. Mob. Commun. 7(3): 308-329 (2009) - [j2]Mouhammd Al-Kasassbeh, Mo Adda:
Network fault detection with Wiener filter-based agent. J. Netw. Comput. Appl. 32(4): 824-833 (2009) - [c8]Athanasios Paraskelidis, Mo Adda:
Efficiency and Benefits of Wireless Network Segregation. ICNS 2009: 235-241 - [c7]Athanasios Paraskelidis, Mo Adda:
Achieving 802.11 Wireless Networks Deployment in Noisy Environments. ICWN 2009: 495-501 - [c6]Frederic T. Stahl, Max A. Bramer, Mo Adda:
PMCRI: A Parallel Modular Classification Rule Induction Framework. MLDM 2009: 148-162 - [c5]Frederic T. Stahl, Max Bramer, Mo Adda:
Parallel Rule Induction with Information Theoretic Pre-Pruning. SGAI Conf. 2009: 151-164 - 2008
- [j1]Mouhammd Al-Kasassbeh, Mo Adda:
Analysis of mobile agents in network fault management. J. Netw. Comput. Appl. 31(4): 699-711 (2008) - [c4]Frederic T. Stahl, Max A. Bramer, Mo Adda:
P-Prism: A Computationally Efficient Approach to Scaling up Classification Rule Induction. IFIP AI 2008: 77-86 - [c3]Frederic T. Stahl, Max Bramer, Mo Adda:
Parallel Induction of Modular Classification Rules. SGAI Conf. 2008: 343-348 - 2007
- [c2]Athanasios Paraskelidis, Mo Adda:
Network Segregation for Fixed 802.11 Wireless Networks Utilizing Modulo. ICWN 2007: 451-457 - 2006
- [c1]Gareth Owen, Mo Adda:
Self-organising quorum systems for ad hoc networks. Communication, Network, and Information Security 2006: 93-98
Coauthor Index
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