Abstract As a new production procedure Additive Manufacturing will present a time-effective produ... more Abstract As a new production procedure Additive Manufacturing will present a time-effective production system when adopted in distributed 3D printing mode. In this case, the distributed manufacturing leads to different challenges such as control between production sites. Based on the cloud infrastructure usage for distributed production systems, the product reliability handling is vital. Moreover, AM is used to produce safety–critical systems components and this product type defines AM as an interesting attack target. This study presents a new extension of uncertain Business Process Management System (uncertain BPMS) architecture for detecting anomaly using this extension capability. This extension has a new component as event-based anomaly detector, where intrusion detection can take place through an integration of process mining and game theory techniques. The proposed component could operate based on pre-processor, conformance checker, and anomaly detection optimizer modules. These modules can intelligently control the AM process activities between expected behavior and actual behavior using distributed event logs, a hybrid of highly accurate algorithms such as Improved Particle Swarm Optimization (IPSO), firefly, and AdaBoost algorithms inside the game theory modeling approach. In this case, the game theory technique as an optimizer provides optimal selection strategies for the proposed component to detect untrusted behaviors. The results of the new extension execution on a case study and its evaluation using Nash Equilibrium (NE) solution indicate that the proposed anomaly detector component is highly accurate in anomaly detection for AM process activities and can detect more attacks successfully through guidance of the game theory framework in the system.
International Journal of Computational Intelligence and Applications, Jun 1, 2020
Comprehensive development of computer networks causes the increment of Distributed Denial of Serv... more Comprehensive development of computer networks causes the increment of Distributed Denial of Service (DDoS) attacks. These types of attacks can easily restrict communication and computing. Among all the previous researches, the accuracy of the attack detection has not been properly addressed. In this study, deep learning technique is used in a hybrid network-based Intrusion Detection System (IDS) to detect intrusion on network. The performance of the proposed technique is evaluated on the NSL-KDD and ISCXIDS 2012 datasets. We performed traffic visual analysis using Wireshark tool and did some experimentations to prove the superiority of the proposed method. The results have shown that our proposed method achieved higher accuracy in comparison with other useful machine learning techniques.
Abstract An uncertain Business Process Management System (BPMS) capability is Business Processes ... more Abstract An uncertain Business Process Management System (BPMS) capability is Business Processes (BPs) management in the presence of uncertain factors. This ability should be defined by different uncertain computer-based components inside the classic BPMSs operations. This study proposed autonomous and combinatorial optimal process management architecture to increase the ability, flexibility, and accuracy of uncertain processes management. The autonomous architecture based on the bi-level optimization approach has been constructed inward a meta-model of multi-agent system technology, optimal Neural Network and Cellular Learning Automata in different agents. A case study of an uncertain business process evolving the closed loop supply chain was studied. The results of the simulated case and the statistical evaluation of it, have been demonstrated the robustness and accuracy of this new proposed architecture.
hoc networks are a new wireless networking pattern for mobile hosts. These networks are one of th... more hoc networks are a new wireless networking pattern for mobile hosts. These networks are one of the autonomous systems that composite of mobile nodes with wireless links between them. Each node in these networks not only as an end system also can operate instead of a router and can forward packets. Unlike traditional mobile wireless networks, ad hoc networks do not rely on any fixed infrastructure and this feature causes frequent changes of the network topology. One main challenge in design of these networks is their vulnerability to security attacks. These attacks do with an internal and external attacker. Some of times the nodes in network are an attacker. This is because of mobility of nodes and changing network topology. In this condition, the nodes are in new status and secure communication that figured in first state has been changed. On of these attacks is DDoS attacks that have an important and dangerous effect on Mobile Ad-Hoc Network and cause problems in these networks. In this paper, we study the effect of one of the important attacks that called DDoS in MANET on most vulnerability protocol that named AODV. The product of this study is performance evaluation of this protocol under DDoS attacks. This evaluation was done with OMNET++ and Mobility Framework simulators. The result shows that this type of attacks has high effect on such networks.
Comprehensive development of computer networks causes the increment of Distributed Denial of Serv... more Comprehensive development of computer networks causes the increment of Distributed Denial of Service (DDoS) attacks. These types of attacks can easily restrict communication and computing. Among al...
Abstract As a new production procedure Additive Manufacturing will present a time-effective produ... more Abstract As a new production procedure Additive Manufacturing will present a time-effective production system when adopted in distributed 3D printing mode. In this case, the distributed manufacturing leads to different challenges such as control between production sites. Based on the cloud infrastructure usage for distributed production systems, the product reliability handling is vital. Moreover, AM is used to produce safety–critical systems components and this product type defines AM as an interesting attack target. This study presents a new extension of uncertain Business Process Management System (uncertain BPMS) architecture for detecting anomaly using this extension capability. This extension has a new component as event-based anomaly detector, where intrusion detection can take place through an integration of process mining and game theory techniques. The proposed component could operate based on pre-processor, conformance checker, and anomaly detection optimizer modules. These modules can intelligently control the AM process activities between expected behavior and actual behavior using distributed event logs, a hybrid of highly accurate algorithms such as Improved Particle Swarm Optimization (IPSO), firefly, and AdaBoost algorithms inside the game theory modeling approach. In this case, the game theory technique as an optimizer provides optimal selection strategies for the proposed component to detect untrusted behaviors. The results of the new extension execution on a case study and its evaluation using Nash Equilibrium (NE) solution indicate that the proposed anomaly detector component is highly accurate in anomaly detection for AM process activities and can detect more attacks successfully through guidance of the game theory framework in the system.
International Journal of Computational Intelligence and Applications, Jun 1, 2020
Comprehensive development of computer networks causes the increment of Distributed Denial of Serv... more Comprehensive development of computer networks causes the increment of Distributed Denial of Service (DDoS) attacks. These types of attacks can easily restrict communication and computing. Among all the previous researches, the accuracy of the attack detection has not been properly addressed. In this study, deep learning technique is used in a hybrid network-based Intrusion Detection System (IDS) to detect intrusion on network. The performance of the proposed technique is evaluated on the NSL-KDD and ISCXIDS 2012 datasets. We performed traffic visual analysis using Wireshark tool and did some experimentations to prove the superiority of the proposed method. The results have shown that our proposed method achieved higher accuracy in comparison with other useful machine learning techniques.
Abstract An uncertain Business Process Management System (BPMS) capability is Business Processes ... more Abstract An uncertain Business Process Management System (BPMS) capability is Business Processes (BPs) management in the presence of uncertain factors. This ability should be defined by different uncertain computer-based components inside the classic BPMSs operations. This study proposed autonomous and combinatorial optimal process management architecture to increase the ability, flexibility, and accuracy of uncertain processes management. The autonomous architecture based on the bi-level optimization approach has been constructed inward a meta-model of multi-agent system technology, optimal Neural Network and Cellular Learning Automata in different agents. A case study of an uncertain business process evolving the closed loop supply chain was studied. The results of the simulated case and the statistical evaluation of it, have been demonstrated the robustness and accuracy of this new proposed architecture.
hoc networks are a new wireless networking pattern for mobile hosts. These networks are one of th... more hoc networks are a new wireless networking pattern for mobile hosts. These networks are one of the autonomous systems that composite of mobile nodes with wireless links between them. Each node in these networks not only as an end system also can operate instead of a router and can forward packets. Unlike traditional mobile wireless networks, ad hoc networks do not rely on any fixed infrastructure and this feature causes frequent changes of the network topology. One main challenge in design of these networks is their vulnerability to security attacks. These attacks do with an internal and external attacker. Some of times the nodes in network are an attacker. This is because of mobility of nodes and changing network topology. In this condition, the nodes are in new status and secure communication that figured in first state has been changed. On of these attacks is DDoS attacks that have an important and dangerous effect on Mobile Ad-Hoc Network and cause problems in these networks. In this paper, we study the effect of one of the important attacks that called DDoS in MANET on most vulnerability protocol that named AODV. The product of this study is performance evaluation of this protocol under DDoS attacks. This evaluation was done with OMNET++ and Mobility Framework simulators. The result shows that this type of attacks has high effect on such networks.
Comprehensive development of computer networks causes the increment of Distributed Denial of Serv... more Comprehensive development of computer networks causes the increment of Distributed Denial of Service (DDoS) attacks. These types of attacks can easily restrict communication and computing. Among al...
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