A proposed security scheme against Denial of Service attacks in cluster‐based wireless sensor networks

Han, Guangjie; Shen, Wen; Duong, Trung Q.; Guizani, Mohsen; Hara, Takahiro

doi:10.1002/sec.373

Cited by 16 publications

(11 citation statements)

References 20 publications

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“…Due to the current development of artificial intelligence technology [12,31,38,39], the development of edge networks and edge computing is in the ascendant [48,50]. Secure data collection is an important guarantee for the applications development [27,34,37,51,52]. Therefore, how to ensure the safety of data collection is an important research issue and there have been quite a lot of researchers focusing on it [53][54][55].…”

Section: Related Workmentioning

confidence: 99%

“…These sensing devices are relatively simple and do not have the ability to communicate directly with the Internet [4,9,24]. They are often selforganized into networks [25][26][27]. Sensing devices on the roadside act as gateway to collect the data of the entire network [4], and then send the collected data to the passing mobile vehicles [28][29][30].…”

Section: Introductionmentioning

confidence: 99%

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An active and verifiable trust evaluation approach for edge computing

Wang

Zhang

et al. 2020

J Cloud Comp

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Billions of Internet of Thing (IoT) devices are deployed in edge network. They are used to monitor specific event, process and to collect huge data to control center with smart decision based on the collected data. However, some malicious IoT devices may interrupt and interfere with normal nodes in data collection, causing damage to edge network. Due to the open character of the edge network, how to identify the credibility of these nodes, thereby identifying malicious IoT devices, and ensure reliable data collection in the edge network is a great challenge. In this paper, an Active and Verifiable Trust Evaluation (AVTE) approach is proposed to identify the credibility of IoT devices, so to ensure reliable data collection for Edge Computing with low cost. The main innovations of the AVTE approach compared with the existing work are as follows: (1) In AVTE approach, the trust of the device is obtained by an actively initiated trusted detection routing method. It is fast, accurate and targeted. (2) The acquisition of trust in the AVTE approach is based on a verifiable method and it ensures that the trust degree has higher reliability. (3) The trust acquisition method proposed in this paper is low-cost. An encoding returned verification method is applied to obtain verification messages at a very low cost. This paper proposes an encoding returned verification method, which can obtain verification messages at a very low cost. In addition, the strategy of this paper adopts initiation and verification of adaptive active trust detection according to the different energy consumption of IoT devices, so as to reliably obtain the trust of device under the premise of ensuring network lifetime. Theoretical analysis shows that AVTE approach can improve the data collection rate by 0.5 ~ 23.16% while ensuring long network lifetime compared with the existing scheme.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An active and verifiable trust evaluation approach for edge computing

Wang

Zhang

et al. 2020

J Cloud Comp

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“…Some common models of attack are Ping of Death, Syn Flood, Land Attack, and Teardrop [17]. There are various types of methods proposed by various researchers to anticipate security problems in cloud computing, especially in DDOS [21,22].…”

Section: Ip Spoofingmentioning

confidence: 99%

DoS Attack Prevention Using Rule-Based Sniffing Technique and Firewall in Cloud Computing

Fidele

Hartanto

2019

E3S Web Conf.

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Nowadays, we are entering an era where the internet has become a necessary infrastructure and support that can be applied as a means of regular communication and data service. In these services, cloud-based on servers has an essential role as it can serve numerous types of devices that are interconnected with several protocols. Unfortunately, internet cloud servers become the main target of attacks such as Denial of Service (DoS), Distributed Denial of Service (DDoS). These attacks have illegal access that could interfere in service functions. Sniffing techniques are typically practiced by hackers and crackers to tap data that passes through the internet network. In this paper, sniffing technique aims to identify packets that are moving across the network. This technique will distinguish packet on the routers or bridges through a sniffer tool known as snort connected to a database containing the attack pattern. If the sniffing system encounters strange patterns and recognizes them as attacks, it will notify to the firewall to separate the attacker's original Internet Protocol (IP) address. Then, communication from the attacker's host to the target will be discontinued. Consequently, the identified attack activity will stop working, and the service will proceed to run.

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“…In an external attack, the attacker node is not an authorized participant of the sensor network. Adversaries can severely limit the usefulness of a WSN through denial-of-service (DoS) attacks [16,17]. An attacker may simply disrupt the network operation by broadcasting a high-energy signal.…”

Section: Related Workmentioning

confidence: 99%

A Hybrid Secure Scheme for Wireless Sensor Networks against Timing Attacks Using Continuous-Time Markov Chain and Queueing Model

Meng

Sha

et al. 2016

Sensors

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Wireless sensor networks (WSNs) have recently gained popularity for a wide spectrum of applications. Monitoring tasks can be performed in various environments. This may be beneficial in many scenarios, but it certainly exhibits new challenges in terms of security due to increased data transmission over the wireless channel with potentially unknown threats. Among possible security issues are timing attacks, which are not prevented by traditional cryptographic security. Moreover, the limited energy and memory resources prohibit the use of complex security mechanisms in such systems. Therefore, balancing between security and the associated energy consumption becomes a crucial challenge. This paper proposes a secure scheme for WSNs while maintaining the requirement of the security-performance tradeoff. In order to proceed to a quantitative treatment of this problem, a hybrid continuous-time Markov chain (CTMC) and queueing model are put forward, and the tradeoff analysis of the security and performance attributes is carried out. By extending and transforming this model, the mean time to security attributes failure is evaluated. Through tradeoff analysis, we show that our scheme can enhance the security of WSNs, and the optimal rekeying rate of the performance and security tradeoff can be obtained.

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A proposed security scheme against Denial of Service attacks in cluster‐based wireless sensor networks

Cited by 16 publications

References 20 publications

An active and verifiable trust evaluation approach for edge computing

An active and verifiable trust evaluation approach for edge computing

DoS Attack Prevention Using Rule-Based Sniffing Technique and Firewall in Cloud Computing

A Hybrid Secure Scheme for Wireless Sensor Networks against Timing Attacks Using Continuous-Time Markov Chain and Queueing Model

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