Wireless mesh network is a new emerging field with its potential applications in extremely unpredictable and dynamic environments.However,it is particularly vulnerable due to its features of open medium,dynamic changi...Wireless mesh network is a new emerging field with its potential applications in extremely unpredictable and dynamic environments.However,it is particularly vulnerable due to its features of open medium,dynamic changing topology, cooperative routing algorithms.The article surveys the state of the art in security for wireless mesh networks.Firstly,we analyze various possible threats to security in wireless mesh networks.Secondly,we introduce some representative solutions to these threats,including solutions to the problems of key management,secure network routing,and intrusion detection.We also provide a comparison and discussion of their respective merits and drawbacks,and propose some improvements for these drawbacks.Finally,we also discuss the remaining challenges in the area.展开更多
Flying Ad hoc Network(FANET)has drawn significant consideration due to its rapid advancements and extensive use in civil applications.However,the characteristics of FANET including high mobility,limited resources,and ...Flying Ad hoc Network(FANET)has drawn significant consideration due to its rapid advancements and extensive use in civil applications.However,the characteristics of FANET including high mobility,limited resources,and distributed nature,have posed a new challenge to develop a secure and ef-ficient routing scheme for FANET.To overcome these challenges,this paper proposes a novel cluster based secure routing scheme,which aims to solve the routing and data security problem of FANET.In this scheme,the optimal cluster head selection is based on residual energy,online time,reputation,blockchain transactions,mobility,and connectivity by using Improved Artificial Bee Colony Optimization(IABC).The proposed IABC utilizes two different search equations for employee bee and onlooker bee to enhance convergence rate and exploitation abilities.Further,a lightweight blockchain consensus algorithm,AI-Proof of Witness Consensus Algorithm(AI-PoWCA)is proposed,which utilizes the optimal cluster head for mining.In AI-PoWCA,the concept of the witness for block verification is also involved to make the proposed scheme resource efficient and highly resilient against 51%attack.Simulation results demonstrate that the proposed scheme outperforms its counterparts and achieves up to 90%packet delivery ratio,lowest end-to-end delay,highest throughput,resilience against security attacks,and superior in block processing time.展开更多
Nowadays,with the advancement of new technologies such as the Internet of Things,new applications and intelligent networks,the use of wireless sensor network increased considerably.They are prone to a variety of attac...Nowadays,with the advancement of new technologies such as the Internet of Things,new applications and intelligent networks,the use of wireless sensor network increased considerably.They are prone to a variety of attacks.Thus,network security is of utmost importance to researchers.In the past,methods such as cryptography,authentication and hash function were used to create security in this type of network.However,due to the limitations of this type of network,trust-based methods are used today.Finding a secure route for transferring data among available routes greatly increases security in this network.In this paper,we present aTrust-based Routing Optimization using Multi-Ant Colonies(MACRAT)scheme which is based on the improvement of the ant meta-heuristic algorithm and an improved method for trust assessment which is presented.The simulation results illustrate that MACRAT is more efficient than existing routing protocols.The results show that MACRAT improved by 10% in black hole detection compared to ESRT protocol and by 4% compared to M-CSO protocol,the packet loss rate in MACRAT improved by 30.14%compared to ESRT protocol and 6%compared to M-CSO protocol.展开更多
基金Project supported by the Shanghai Minicipal Natural Science Foundation(Grant No09ZR1414900)the National High Technology Development 863 Program of China(Grant No2006AA01Z436,No2007AA01Z452,No2009AA01Z118)
文摘Wireless mesh network is a new emerging field with its potential applications in extremely unpredictable and dynamic environments.However,it is particularly vulnerable due to its features of open medium,dynamic changing topology, cooperative routing algorithms.The article surveys the state of the art in security for wireless mesh networks.Firstly,we analyze various possible threats to security in wireless mesh networks.Secondly,we introduce some representative solutions to these threats,including solutions to the problems of key management,secure network routing,and intrusion detection.We also provide a comparison and discussion of their respective merits and drawbacks,and propose some improvements for these drawbacks.Finally,we also discuss the remaining challenges in the area.
基金This paper is supported in part by the National Natural Science Foundation of China(61701322)the Young and Middle-aged Science and Technology Innovation Talent Support Plan of Shenyang(RC190026)+1 种基金the Natural Science Foundation of Liaoning Province(2020-MS-237)the Liaoning Provincial Department of Education Science Foundation(JYT19052).
文摘Flying Ad hoc Network(FANET)has drawn significant consideration due to its rapid advancements and extensive use in civil applications.However,the characteristics of FANET including high mobility,limited resources,and distributed nature,have posed a new challenge to develop a secure and ef-ficient routing scheme for FANET.To overcome these challenges,this paper proposes a novel cluster based secure routing scheme,which aims to solve the routing and data security problem of FANET.In this scheme,the optimal cluster head selection is based on residual energy,online time,reputation,blockchain transactions,mobility,and connectivity by using Improved Artificial Bee Colony Optimization(IABC).The proposed IABC utilizes two different search equations for employee bee and onlooker bee to enhance convergence rate and exploitation abilities.Further,a lightweight blockchain consensus algorithm,AI-Proof of Witness Consensus Algorithm(AI-PoWCA)is proposed,which utilizes the optimal cluster head for mining.In AI-PoWCA,the concept of the witness for block verification is also involved to make the proposed scheme resource efficient and highly resilient against 51%attack.Simulation results demonstrate that the proposed scheme outperforms its counterparts and achieves up to 90%packet delivery ratio,lowest end-to-end delay,highest throughput,resilience against security attacks,and superior in block processing time.
文摘Nowadays,with the advancement of new technologies such as the Internet of Things,new applications and intelligent networks,the use of wireless sensor network increased considerably.They are prone to a variety of attacks.Thus,network security is of utmost importance to researchers.In the past,methods such as cryptography,authentication and hash function were used to create security in this type of network.However,due to the limitations of this type of network,trust-based methods are used today.Finding a secure route for transferring data among available routes greatly increases security in this network.In this paper,we present aTrust-based Routing Optimization using Multi-Ant Colonies(MACRAT)scheme which is based on the improvement of the ant meta-heuristic algorithm and an improved method for trust assessment which is presented.The simulation results illustrate that MACRAT is more efficient than existing routing protocols.The results show that MACRAT improved by 10% in black hole detection compared to ESRT protocol and by 4% compared to M-CSO protocol,the packet loss rate in MACRAT improved by 30.14%compared to ESRT protocol and 6%compared to M-CSO protocol.
