Design of a secure and efficient authentication protocol for real-time accesses of multiple users in PIoT-oriented multi-gateway WSNs

Yang, Ting; Zhai, Feng; Xu, Hui; Li, Wei

doi:10.1016/j.egyr.2022.02.061

Cited by 12 publications

(4 citation statements)

References 31 publications

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“…As per the evaluation, the number of malicious injections over the IHFs gradually increases due to various channel attacks, as mentioned earlier. These malicious nodes are being caught in IHF traps continuously and being misled into distributed wireless honeypot engines running in each sensor node [ 61 , 62 ].…”

Section: Resultsmentioning

confidence: 99%

Interleaved Honeypot-Framing Model with Secure MAC Policies for Wireless Sensor Networks

Rajasoundaran

Maheswar

Muthuramalingam

et al. 2022

Sensors

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The Wireless Medium Access Control (WMAC) protocol functions by handling various data frames in order to forward them to neighbor sensor nodes. Under this circumstance, WMAC policies need secure data communication rules and intrusion detection procedures to safeguard the data from attackers. The existing secure Medium Access Control (MAC) policies provide expected and predictable practices against channel attackers. These security policies can be easily breached by any intelligent attacks or malicious actions. The proposed Wireless Interleaved Honeypot-Framing Model (WIHFM) newly implements distributed honeypot-based security mechanisms in each sensor node to act reactively against various attackers. The proposed WIHFM creates an optimal Wireless Sensor Network (WSN) channel model, Wireless Interleaved Honeypot Frames (WIHFs), secure hash-based random frame-interleaving principles, node-centric honeypot engines, and channel-covering techniques. Compared to various existing MAC security policies, the proposed model transforms unpredictable IHFs into legitimate frame sequences against channel attackers. Additionally, introducing WIHFs is a new-fangled approach for distributed WSNs. The successful development of the proposed WIHFM ensures resilient security standards and neighbor-based intrusion alert procedures for protecting MAC frames. Particularly, the proposed wireless honeypot methodology creates a novel idea of using honeypot frame traps against open wireless channel attacks. The development of a novel wireless honeypot traps deals with various challenges such as distributed honeypot management principles (node-centric honeypot, secretly interleaved-framing principles, and interleaving/de-interleaving procedures), dynamic network backbone management principles (On Demand Acyclic Connectivity model), and distributed attack isolation policies. This effort provides an effective wireless attack-trapping solution in dynamic WSNs. The simulation results show the advantage of the proposed WIHFM over the existing techniques such as Secure Zebra MAC (SZ-MAC), Blockchain-Assisted Secure-Routing Mechanism (BASR), and the Trust-Based Node Evaluation (TBNE) procedure. The experimental section confirms the proposed model attains a 10% to 14% superior performance compared to the existing techniques.

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Section: Resultsmentioning

confidence: 99%

Interleaved Honeypot-Framing Model with Secure MAC Policies for Wireless Sensor Networks

Rajasoundaran

Maheswar

Muthuramalingam

et al. 2022

Sensors

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“…However, the throughput achieved by this method is moderate. Yang et al [14], as so to improve the security and data collection capacity the light weight security protocols are introduced. This method produces more security and efficiency.…”

Section: Comprehensive Survey 21 Trust Oriented Wireless Sensor Networkmentioning

confidence: 99%

Multi level trust calculation with improved ant colony optimization for improving quality of service in wireless sensor network

Ahmed

Abbas

Rashid

2023

IJ-AI

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Wireless sensor network (WSN) is the most integral parts of current technology which are used for the real time applications. The major drawbacks in currect technologies are threads due to the creation of false trust values and data congestion. Maximum of the concept of WSNs primarily needs security and optimization. So, we are in the desire to develop a new model which is highly secured and localized. In this paper, we introduced a novel approach namely multi level trust calculation with improved ant colony optimization (MLT-IACO). This approach mainly sub-divided into two sections they are multi level trust calculation which is the combination three levels of trust such as direct trust, indirect trust and random repeat trust. Secondly, improved ant colony optimization technique is used to find the optimal path in the network. By transmitting the data in the optimal path, the congestion and delay of the network is reduced which leads to increase the efficiency. The outcome values are comparatively analyzed based the parameters such as packet delivery ratio, network throughput and average latency. While compared with the earlier research our MLT-IACO approach produce high packet delivery ratio and throughput as well as lower latency and routing overhead.

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“…Furthermore, this attack requires quality of service and allows consumption of several channels. Every channel has its own TKIP sequence counter, respectively, but channel 0 has the ability to hold down the most traffic [77].…”

Section: Back and Tew's Improved Attackmentioning

confidence: 99%

“…The diagram below (Figure 8) shows the view of a Black hole attack when it is found in a network. In contrast, in the Wormhole attack, the attacker tries to keep a record of a packet at a single location and tunnels it through to another location [77]. Diagrammatically, the worm hole attack can be showed as below Figure 9.…”

Section: Active Attacksmentioning

confidence: 99%

A Survey on MAC-Based Physical Layer Security over Wireless Sensor Network

et al. 2022

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Physical layer security for wireless sensor networks (WSNs) is a laborious and highly critical issue in the world. Wireless sensor networks have great importance in civil and military fields or applications. Security of data/information through wireless medium remains a challenge. The data that we transmit wirelessly has increased the speed of transmission rate. In physical layer security, the data transfer between source and destination is not confidential, and thus the user has privacy issues, which is why improving the security of wireless sensor networks is a prime concern. The loss of physical security causes a great threat to a network. We have various techniques to resolve these issues, such as interference, noise, fading in the communications, etc. In this paper we have surveyed the different parameters of a security design model to highlight the vulnerabilities. Further we have discussed the various attacks on different layers of the TCP/IP model along with their mitigation techniques. We also elaborated on the applications of WSNs in healthcare, military information integration, oil and gas. Finally, we have proposed a solution to enhance the security of WSNs by adopting the alpha method and handshake mechanism with encryption and decryption.

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Design of a secure and efficient authentication protocol for real-time accesses of multiple users in PIoT-oriented multi-gateway WSNs

Cited by 12 publications

References 31 publications

Interleaved Honeypot-Framing Model with Secure MAC Policies for Wireless Sensor Networks

Interleaved Honeypot-Framing Model with Secure MAC Policies for Wireless Sensor Networks

Multi level trust calculation with improved ant colony optimization for improving quality of service in wireless sensor network

A Survey on MAC-Based Physical Layer Security over Wireless Sensor Network

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