Secure and Reliable WSN for Internet of Things: Challenges and Enabling Technologies

Lata, Sonam; Mehfuz, Shabana; Urooj, Shabana

doi:10.1109/access.2021.3131367

Cited by 40 publications

(24 citation statements)

References 119 publications

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“…In passive attacks, the attackers frequently Figure 1.1: A sample taxonomy for WSNs applications [8] disguise themselves and break the communication link to collect data. Passive attacks include eavesdropping, node malfunction, node tampering/destruction, node interruption, and traffic analysis [4].…”

Section: Passive Attacks In Wsnsmentioning

confidence: 99%

“…A wireless sensor node is a compact device that includes sensing and computing components, as well as a wireless transmitter and a small battery [4]. Therefore, the majority of WSN devices have specific limitations, such as an environment without a centralized administration and limited computation capacity and power, which result in threats that expose WSNs to potentially hazardous attacks.…”

Section: Introduction 11 An Overview Of Security Issues In Wsnsmentioning

confidence: 99%

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Active Eavesdroppers Detection System in Multi-hop Wireless Sensor Networks

Abedini

Al‐Anbagi

2022

2022 IEEE Symposium on Computers and Communications (ISCC)

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Masih Abedini, candidate for the degree of Master of Applied Science in Electronic Systems Engineering, has presented a thesis titled, Active eavesdroppers detection system in multi-hop wireless sensor networks, in an oral examination held on July 25, 2022. The following committee members have found the thesis acceptable in form and content, and that the candidate demonstrated satisfactory knowledge of the subject material.

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Section: Passive Attacks In Wsnsmentioning

confidence: 99%

Section: Introduction 11 An Overview Of Security Issues In Wsnsmentioning

confidence: 99%

Active Eavesdroppers Detection System in Multi-hop Wireless Sensor Networks

Abedini

Al‐Anbagi

2022

2022 IEEE Symposium on Computers and Communications (ISCC)

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“…However authenticity of Boolean expression is not verified, that makes it susceptible to active attacks. In [16] mentioned that both industrial and commercial IoT devices are used as illustrations for analysing the security of hardware, applications, and communications, as well as identifying backdoors. On a smart home system and a smart metre, a detailed security analysis procedure will be demonstrated, demonstrating that security vulnerabilities are a common issue for most devices.…”

Section: Related Workmentioning

confidence: 99%

Honeynet Implementation in Cyber Security Attack Prevention with Data Monitoring System Using AI Technique and IoT 4G Networks

Kour¹,

Goswami²,

Sharma³

et al. 2022

Int. j. commun. netw. inf. secur.

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Cyber Physical Systems (CPS) comprises of the ubiquitous object concept those are connected with Internet to provide ability of data transmission and sensing over network. The smart appliances transmits the data through CPS devices with the implementation of Internet of Things (IoT) exhibits improved performance characteristics with significant advantages such as time savings, reduced cost, higher human comfort and efficient electricity utilization. In the minimal complexity sensor nodes cyber physical system is adopted for the heterogeneous environment for the wireless network connection between clients or hosts. However, the conventional security scheme uses the mechanisms for desktop devices with efficient utilization of resources in the minimal storage space environment, minimal power processing and limited energy backup. This paper proposed a Secure Honeynet key authentication (SHKA) model for security attack prevention through effective data monitoring with IoT 4G communication. The proposed SHKA model uses the lightweight key agreement scheme for authentication to provide security threats and confidentiality issues in CPS applications. With the implementation of SHKA HoneyNet model the data in IoT are monitored for security mechanism in IoT environment. The middleware module in SHKA scheme uses the Raspberry platform to establish internetworking between CPS device to achieve dynamic and scalability. The secure IoT infrastructure comprises of flexible evaluation of user-centric environment evaluation for the effectiveness. The developed SHKA model perform mutual authentication between CPS devices for minimal computation overhead and efficiency. The wireless channel uses the dynamic session key for the secure communication for cyber-attacks security with lightweight security in CPS system. The SHKA model demonstrate the effectiveness based on consideration of three constraints such as low power processing, reduced storage and minimal backup energy. Experimental analysis stated that proposed SHKA scheme provides lightweight end-to-end key establishment in every session. The CPS devices generates the session key of 128 bit long. The minimum key size is implemented to provide effective security in IoT 4G communication with minimal execution time. The simulation results demonstrated that SHKA model exhibits effective cyber-attacks for the constraint devices to improve performance of IoT network.

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“…Wireless Sensor Networks (WSN) are often presented in the literature as a solution for large-scale autonomous monitoring systems [ 1 , 2 ]. They are typically composed of multiple sensor nodes (SN) scattered in a area of interest and a base station (BS).…”

Section: Introductionmentioning

confidence: 99%

Implementation of a WSN for Environmental Monitoring: From the Base Station to the Small Sensor Node

Oliveira

Reis²,

Caldeirinha³

2022

Sensors

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In this paper, the implementation of a Wireless Sensor Network (WSN) for environmental monitoring (EM) is presented. It includes the design, implementation and experimental characterization of a multi-sector base station (BS) antenna composed of several microstrip Quasi-Yagi elements and the implementation and experimental characterization of a reduced form factor antenna for the sensor nodes (SN). Subsequently, it reports the implementation of a WSN based on Lopy4 transceivers, using the developed BS and SN antennas. Finally, experimental results obtained on the field to evaluate the performance of the network in terms of maximum coverage distance and coverage area are presented. According to the field tests, the connectivity between the sensor nodes and the developed WSN base station is confirmed at distances above 3.5 km and for all the antenna sectors of the multi-sector BS attaining a 360∘ of field of view.

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Secure and Reliable WSN for Internet of Things: Challenges and Enabling Technologies

Cited by 40 publications

References 119 publications

Active Eavesdroppers Detection System in Multi-hop Wireless Sensor Networks

Active Eavesdroppers Detection System in Multi-hop Wireless Sensor Networks

Honeynet Implementation in Cyber Security Attack Prevention with Data Monitoring System Using AI Technique and IoT 4G Networks

Implementation of a WSN for Environmental Monitoring: From the Base Station to the Small Sensor Node

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