Cuckoo-RPL: Cuckoo Filter based RPL for Defending AMI Network from Blackhole Attacks

Zhang, Tianchen; Zhang, Taimin; Ji, Xiaoyu; Xu, Wenyuan

doi:10.23919/chicc.2019.8866139

Cited by 13 publications

(6 citation statements)

References 14 publications

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“…Privacy Preserving: Zhang et al proposed a mechanism Cuckoo-RPL (Routing Protocol for Low-Power and Lossy Networks) to defend from Advanced metering infrastructure (AMI) network from blackhole attack. Cuckoo-RPL is also useful to defend from other attacks like version number and gray hole attack [303].…”

Section: Applications Of Pds In Smart Energymentioning

confidence: 99%

Probabilistic data structures in smart city: Survey, applications, challenges, and research directions

Kumar

Singh

2022

AIS

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With the commencement of new technologies like IoT and the Cloud, the sources of data generation have increased exponentially. The use and processing of this generated data have motivated and given birth to many other domains. The concept of a smart city has also evolved from making use of this data in decision-making in the various aspects of daily life and also improvement in the traditional systems. In smart cities, various technologies work collaboratively; they include devices used for data collection, processing, storing, retrieval, analysis, and decision making. Big data storage, retrieval, and analysis play a vital role in smart city applications. Traditional data processing approaches face many challenges when dealing with such voluminous and high-speed generated data, such as semi-structured or unstructured data, data privacy, security, real-time responses, and so on. Probabilistic Data Structures (PDS) has been evolved as a potential solution for many applications in smart cities to complete this tedious task of handling big data with real-time response. PDS has been used in many smart city domains, including healthcare, transportation, the environment, energy, and industry. The goal of this paper is to provide a comprehensive review of PDS and its applications in the domains of smart cities. The prominent domain of the smart city has been explored in detail; origin, current research status, challenges, and existing application of PDS along with research gaps and future directions. The foremost aim of this paper is to provide a detailed survey of PDS in smart cities; for readers and researchers who want to explore this field; along with the research opportunities in the domains.

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Section: Applications Of Pds In Smart Energymentioning

confidence: 99%

Probabilistic data structures in smart city: Survey, applications, challenges, and research directions

Kumar

Singh

2022

AIS

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“…Moreover, time complexity for basic stack operations, such as push and pop is O (1), as it is possible to work at only one end of this linear data structure. The cuckoo filter [58] is considered a better option than the bloom filter in three ways. It supports the dynamic deletion of items.…”

Section: Benefits Of Implementing the Morton Filtermentioning

confidence: 99%

Morton Filter-Based Security Mechanism for Healthcare System in Cloud Computing

Bhatia

Malhotra²

2021

Healthcare

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Electronic health records contain the patient’s sensitive information. If these data are acquired by a malicious user, it will not only cause the pilferage of the patient’s personal data but also affect the diagnosis and treatment. One of the most challenging tasks in cloud-based healthcare systems is to provide security and privacy to electronic health records. Various probabilistic data structures and watermarking techniques were used in the cloud-based healthcare systems to secure patient’s data. Most of the existing studies focus on cuckoo and bloom filters, without considering their throughputs. In this research, a novel cloud security mechanism is introduced, which supersedes the shortcomings of existing approaches. The proposed solution enhances security with methods such as fragile watermark, least significant bit replacement watermarking, class reliability factor, and Morton filters included in the formation of the security mechanism. A Morton filter is an approximate set membership data structure (ASMDS) that proves many improvements to other data structures, such as cuckoo, bloom, semi-sorting cuckoo, and rank and select quotient filters. The Morton filter improves security; it supports insertions, deletions, and lookups operations and improves their respective throughputs by 0.9× to 15.5×, 1.3× to 1.6×, and 1.3× to 2.5×, when compared to cuckoo filters. We used Hadoop version 0.20.3, and the platform was Red Hat Enterprise Linux 6; we executed five experiments, and the average of the results has been taken. The results of the simulation work show that our proposed security mechanism provides an effective solution for secure data storage in cloud-based healthcare systems, with a load factor of 0.9. Furthermore, to aid cloud security in healthcare systems, we presented the motivation, objectives, related works, major research gaps, and materials and methods; we, thus, presented and implemented a cloud security mechanism, in the form of an algorithm and a set of results and conclusions.

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“…Because of the difficulty in debugging and implementing IoTs in real networks, it is necessary to view simulations as a basic design tool. The primary benefit of simulation is that analysis is simplified and protocol is verified, mostly, it is evident in systems in large scales [28][29][30][31][32][33][34][35]. The performance of the suggested method is assessed in this part by the use of NS-3 as the simulation means, and the discussion on the obtained results is presented.…”

Section: Simulation Setup and Comparing Algorithmsmentioning

confidence: 99%

Multi-level trust-based intelligence schema for securing of internet of things (IoT) against security threats using cryptographic authentication

et al. 2020

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The Internet of Things (IoT) is able to provide a prediction of linked, universal, and smart nodes that have autonomous interaction when they present services. Because of wide openness, relatively high processing power, and wide distribution of IoT things, they are ideal for attacks of the gray hole. In the gray hole attack, the attacker fakes itself as the shortest path to the destination that is a thing here. This causes the routing packets don't reach the destination. The proposed method is based on the AODV routing protocol and is presented under the MTISS-IoT name which means for the reduction of gray hole attacks using check node information. In this paper, a hybrid approach is proposed based on cryptographic authentication. The proposed approach consists of four Phases, such as the verifying node trust in the IoT, testing the routes, gray hole attack discovery, and the malicious attack elimination process in MTISS-IoT. The method is evaluated here via extensive simulations carried out in the NS-3 environment. The experimental results of four scenarios demonstrated that the MTISS-IoT method can achieve a false-positive rate of 14.104 percent, a false-negative rate of 17.49 percent and a detection rate of 94.5 percent when gray hole attack was launched.

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Cuckoo-RPL: Cuckoo Filter based RPL for Defending AMI Network from Blackhole Attacks

Cited by 13 publications

References 14 publications

Probabilistic data structures in smart city: Survey, applications, challenges, and research directions

Probabilistic data structures in smart city: Survey, applications, challenges, and research directions

Morton Filter-Based Security Mechanism for Healthcare System in Cloud Computing

Multi-level trust-based intelligence schema for securing of internet of things (IoT) against security threats using cryptographic authentication

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