Adaptively Supervised and Intrusion-Aware Data Aggregation for Wireless Sensor Clusters in Critical Infrastructures

Otoum, Safa; Kantarcı, Burak; Mouftah, Hussein T.

doi:10.1109/icc.2018.8422401

Cited by 68 publications

(41 citation statements)

References 17 publications

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“…Another important challenge is privacy issues that can have a fatal impact on the user. Some interesting approaches to solving such issues are adopting deep learning and machine learning techniques [39,40]. Such techniques can be used to secure user data and detect intruders that violate the user's privacy.…”

Section: Open Issues and Challengesmentioning

confidence: 99%

ZONE-Based Multi-Access Edge Computing Scheme for User Device Mobility Management

2019

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Recently, new mobile applications and services have appeared thanks to the rapid development of mobile devices and mobile network technology. Cloud computing has played an important role over the past decades, providing powerful computing capabilities and high-capacity storage space to efficiently deliver these mobile services to mobile users. Nevertheless, existing cloud computing delegates computing to a cloud server located at a relatively long distance, resulting in significant delays due to additional time to return processing results from a cloud server. These unnecessary delays are inconvenient for mobile users because they are not suitable for applications that require a real-time service environment. To cope with these problems, a new computing concept called Multi-Access Edge Computing (MEC) has emerged. Instead of sending all requests to the central cloud to handle mobile users' requests, the MEC brings computing power and storage resources to the edge of the mobile network. It enables the mobile user device to run the real-time applications that are sensitive to latency to meet the strict requirements. However, there is a lack of research on the efficient utilization of computing resources and mobility support when mobile users move in the MEC environment. In this paper, we propose the MEC-based mobility management scheme that arranges MEC server (MECS) as the concept of Zone so that mobile users can continue to receive content and use server resources efficiently even when they move. The results show that the proposed scheme reduce the average service delay compared to the existing MEC scheme. In addition, the proposed scheme outperforms the existing MEC scheme because mobile users can continuously receive services, even when they move frequently.

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Section: Open Issues and Challengesmentioning

confidence: 99%

ZONE-Based Multi-Access Edge Computing Scheme for User Device Mobility Management

2019

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“…In [22,23], Otoum et al gave a black-hole detection scheme which help in monitoring the different aspect of systems such as pressure and temperature. Very recently, Otoum et al [24] introduced an adaptively supervised and intrusion-aware data aggregation for wireless sensor clusters in critical infrastructures. This proposed scheme used an adaptive strategy to dynamically detect known and unknown intrusions, thus solving the intrusion problem.…”

Section: Related Workmentioning

confidence: 99%

A More Efficient Conditional Private Preservation Scheme in Vehicular Ad Hoc Networks

Wang

Tang

2018

Applied Sciences

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It is a challenging issue to provide a secure and conditional anonymous authentication scheme in vehicle ad hoc networks (VANETs) with low storage space and computational cost. In 2008, Lu et al. proposed a conditional privacy preservation scheme called efficiency conditional privacy preservation (ECPP) protocol. The ECPP protocol provides conditional privacy preservation to vehicles in VANETs. That is, on one hand vehicles can achieve anonymous authentication in the network, on the other hand, allow to be traced and revoked if necessary. However, ECPP scheme suffers from high computational cost and large storage. In this scheme, an improved protocol based on the concept of ECPP protocol has been proposed to achieve more efficiency conditional privacy preservation (MECPP) scheme in VANETs. Comparing with ECCP, the computational cost of the proposed scheme has been decreased by about 54 % while the communication overhead has been reduced by about 10 % . At the same time, a lot of storage space has been saved.

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“…There are many research articles [4][5][6][7][8][9] focusing on solving the security issues in IoT, such as intrusion detection in sensor networks and trust models in networks. Even machine learning has been applied to help defeat security threats [10]. In addition, the human factor is also an important subject which attracts the attention of researchers [11].…”

Section: Relative Workmentioning

confidence: 99%

“…In this section, we select some typical protocols [10][11][12]15,16,18,19] to compare with ours. Table 3 shows the comparison results intuitively, where " √ " means that the corresponding attribute is satisfied and "×" means that the corresponding attribute is not satisfied.…”

Section: Security Comparisonmentioning

confidence: 99%

Lightweight NFC Protocol for Privacy Protection in Mobile IoT

et al. 2018

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The Internet of Things (IoT) aims to achieve the interconnection of all devices in our lives. Due to the complex network environment, the IoT with mobile devices often faces many security problems, such as privacy leakages and identity forgery attacks. As a developing technology in mobile IoT, near field communication (NFC) is widely used in electronic payments and identity authentications. The current NFC studies mainly focus on payment technology, but there are a few studies on privacy protection and the lightweight requirements in the mobile IoT authentication protocol. We focus on the lightweight privacy protection authentication technology in mobile IoT. In the paper, we summarize the clustering model in mobile IoT networks and propose a lightweight authentication protocol. A security analysis shows that the protocol can resist many security threats, such as privacy leakages, identity forgeries, and replay attacks. The simulation also shows that the protocol is lightweight, with the utilization of look-up-tables (LUTs) and registers in our protocol being less than 0.5%. Our work can provide a secure and lightweight mobile authentication serve in the NFC-based mobile IoT network such as smart home and office attendance.

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Adaptively Supervised and Intrusion-Aware Data Aggregation for Wireless Sensor Clusters in Critical Infrastructures

Cited by 68 publications

References 17 publications

ZONE-Based Multi-Access Edge Computing Scheme for User Device Mobility Management

ZONE-Based Multi-Access Edge Computing Scheme for User Device Mobility Management

A More Efficient Conditional Private Preservation Scheme in Vehicular Ad Hoc Networks

Lightweight NFC Protocol for Privacy Protection in Mobile IoT

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