An Experimental Study of Distributed Denial of Service and Sink Hole Attacks on IoT based Healthcare Applications

Mohapatro, Manorama; Snigdh, Itu

doi:10.1007/s11277-021-08657-z

Cited by 12 publications

(3 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…most vulnerable to this type of attack); thereby, making the system malfunction [31]. The proposed model is a distributed system, which means that the failure of any node does not affect the system.…”

Section: Security Analysismentioning

confidence: 99%

An Anonymous IoT-Based E-Health Monitoring System Using Blockchain Technology

Samuel

Omojo²,

Mohsin

et al. 2023

IEEE Systems Journal

View full text Add to dashboard Cite

The Internet of things (IoT) has made it possible for health institutions to have remote diagnosis, reliable, preventive and real-time decision making. However, the anonymity and privacy of patients are not considered in IoT. Therefore, this paper proposes a blockchain-based anonymous system, known as GarliMediChain, for providing anonymity and privacy during COVID-19 information sharing. In GarliMediChain, garlic routing and blockchain are integrated to provide low-latency communication, privacy, anonymity, trust and security. Also, COVID-19 information is encrypted multiple times before transmitting to a series of nodes in the network. To ensure that COVID-19 information is successfully shared, a blockchainbased coalition system is proposed. The coalition system enables health institutions to share information while maximizing their payoffs. In addition, each institution uses the proposed fictitious play to study the strategies of others in order to update its belief by selecting the best responses from them. Furthermore, simulation results show that the proposed system is resistant to security-related attacks and is robust, efficient, and adaptive. From the results, the proposed proof-of-epidemiology-of-interest (PoEoI) consensus protocol has 15.93% less computational cost than 26.30% of proof-of-work (PoW) and 57.77% proof-ofauthority (PoA) consensus protocol, respectively. Nonetheless, the proposed GarliMediChain system promotes global collaborations by combining existing anonymity and trust solutions with the support of blockchain technology.

show abstract

Section: Security Analysismentioning

confidence: 99%

An Anonymous IoT-Based E-Health Monitoring System Using Blockchain Technology

Samuel

Omojo²,

Mohsin

et al. 2023

IEEE Systems Journal

View full text Add to dashboard Cite

show abstract

“…The results illustrated the ability of the attack to cause high increases in packet loss. The experimental study in [33] discussed the adverse impact of the sinkhole attack on RPL compared to other protocols such as AODV. The attack led to a degradation of QoS performance and increases in network overhead and energy consumption as indicated by the presented simulation results.…”

Section: Related Workmentioning

confidence: 99%

RPL-Based IoT Networks under Simple and Complex Routing Security Attacks: An Experimental Study

Alsukayti

Alreshoodi

2023

Applied Sciences

View full text Add to dashboard Cite

Effective security support still remains a challenge even for a standardized Internet of Things network protocol such as the IPv6 Routing Protocol for Low-Power and Lossy Networks (RPL). It provides limited protection against external security attacks but stays highly vulnerable to internal routing attacks. The inherent RPL design of RPL, particularly its topology establishment and maintenance mechanism, makes it easy to initiate such kinds of attacks which target overall network performance and topology stability. Establishing a firm and practical understanding of the impacts of these attacks on RPL networks is still critically needed for further investigation. This is more demanding when considering varying-scale RPL deployments targeted by complex attack scenarios. In this research work, an extensive experimental study of these critical RPL routing attacks considering simple-to-complex attack scenarios in varying-scale RPL network setups is presented. It provides a practical contribution toward experimentally understanding the effectiveness of internal routing attacks when targeting RPL-based IoT networks. The main objective is to provide future research works with a practical reference to the effectiveness of these security attacks and the overall performance of RPL networks under routing attacks. The results indicate the adverse impacts of routing attacks on the overall performance of RPL networks. Even in simple attack scenarios, it was found that the attacked networks experienced noticeable degradation in QoS performance and topology stability. In addition, the attacks incurred considerable increases in energy consumption and control traffic overhead. These were more evident in large-scale experimental setups and also under composite and hybrid routing attacks. QoS performance and topology stability degraded by more than 90% whereas energy consumption and network overhead increased by more than 200%.

show abstract

“…In recent years, several incidents have been reported where identity thefts of IoT devices connected to unreliable public networks have occurred, and data stored in them are seized [26]. Recent sinkholes and DDoS attacks have crippled IoT healthcare systems [27]. Securing sensitive information stored on IoT devices is challenging as the devices remain connected to the public Internet 24×7 and have limited processing and memory capacities.…”

Section: Introductionmentioning

confidence: 99%

HessianAuth: A Secure and Efficient Authentication Mechanism for Resource-Constrained IoT Networks

Dey,

Ghosh

2023

Preprint

View full text Add to dashboard Cite

The Internet of Things (IoT) constitutes an ecosystem of 6LoWPAN networked resource-constrained devices that entail lightweight security solutions. Owing to the resource limitation of these devices and the delay-sensitive nature of applications running on them, an efficient authentication mechanism is required to validate requesters’ identities with minimum resources and delay. Inthis work, we adopted the Hessian curve, a variant of the elliptic curve and unexplored in Elliptic Curve Cryptography, to propose a distributed authentication mechanism called HessianAuth. Unlike other elliptic curves, it avoids using the expensive “point inversion” curve operation. We leveraged this property to generate digital signatures for authenticating device identities for low-power devices in IoT networks. We simulate a 6LoWPAN environment on the Contiki-based Cooja simulator and empirically show that our approach outperformed three baselines: AES-CBC, the standard Weierstrass curve-based ECC, and the Edward curve-based ECC regarding CPU usage, latency, and power consumption. Finally, we conduct a theoretical security analysis to deduce the validity of mutual authentication done by HessianAuth and its robustness to various identity theft attacks.

show abstract

An Experimental Study of Distributed Denial of Service and Sink Hole Attacks on IoT based Healthcare Applications

Cited by 12 publications

References 36 publications

An Anonymous IoT-Based E-Health Monitoring System Using Blockchain Technology

An Anonymous IoT-Based E-Health Monitoring System Using Blockchain Technology

RPL-Based IoT Networks under Simple and Complex Routing Security Attacks: An Experimental Study

HessianAuth: A Secure and Efficient Authentication Mechanism for Resource-Constrained IoT Networks

Contact Info

Product

Resources

About