IoT Security Evolution: Challenges and Countermeasures Review

Abuagoub, Ali Mohamed Abdelrahman

doi:10.17762/ijcnis.v11i3.4272

Cited by 6 publications

(5 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Authentication has achieved a great consideration within IoT security [7]. Authentication is important to check the validity of devices before sharing information with each other [8].…”

Section: Resource-constrained Devicesmentioning

confidence: 99%

Design of Lightweight Authentication Protocol for Fog enabled Internet of Things- A Centralized Authentication Framework

Verma¹,

Bhardwaj²

2022

Int. j. commun. netw. inf. secur.

View full text Add to dashboard Cite

Internet is a large network of networks that spans the entire globe. Internet is playing indispensable role in our daily lives. The physical things are connected to internet with the help of digital identity. With recent advancement of information and communication technologies IoT became vital part of human life. However, IoT is not having standardized architecture. Nowadays IoT is integrated with fog computing which extends platform of cloud computing by providing computing resources on edges of computer network. Fog computing is motivated by IOT and It is decentralized solution for IoT. In addition, Fog computing has supported features like geographic distribution, low latency, location awareness, operate on premise, installed on heterogeneous hardware. IoT with cloud computing does not have such features. Therefore, in this paper, at first we discuss about the distributed fog computing architecture. Subsequently, we address the problem of authentication and design a new authentication framework for fog enabled IOT environment. It is stated that the proposed authentication framework will be useful in many IoT applications such as healthcare system, transportation system, smart cities, home energy management etc.

show abstract

“…Authentication has achieved a great consideration within IoT security [7]. Authentication is important to check the validity of devices before sharing information with each other [8].…”

Section: Resource-constrained Devicesmentioning

confidence: 99%

Design of Lightweight Authentication Protocol for Fog enabled Internet of Things- A Centralized Authentication Framework

Verma¹,

Bhardwaj²

2022

Int. j. commun. netw. inf. secur.

View full text Add to dashboard Cite

show abstract

“…After that, these models can independently recognize patterns and abnormalities suggestive of C&C threats in real-time, adding another layer of security for IoT networks (Atzori et al, 2010). IoT devices' often restricted computational resources, such as little memory and processing power, are one of their distinguishing characteristics (Abuagoub, 2022). Implementing effective security measures is made more difficult by these resource constraints.…”

Section: Introductionmentioning

confidence: 99%

Using Supervised Learning to Detect Command and Control Attacks in IoT

AlShaikh,

Alsemaih,

Alamri

et al. 2023

International Journal of Cloud Applications and Computing

View full text Add to dashboard Cite

The rapid proliferation of internet of things (IoT) devices has ushered in a new era of technological development. However, this growth has also exposed these devices to various cybersecurity risks, including command and control (C&C) attacks. C&C attacks involve unauthorized entities taking control of IoT devices to carry out malicious activities. Traditional cybersecurity measures often fall short in addressing these evolving threats. To enhance IoT security and counter C&C threats, this study explores the potential of supervised learning, a subfield of machine learning. Supervised learning, a method that utilizes past data to train machine learning models capable of independently identifying patterns indicative of C&C threats in real time, offers additional protection to IoT networks. This article delves into the advantages and drawbacks of this approach, considering factors such as the need for well-defined labeled datasets, resource constraints of IoT devices, and ethical considerations surrounding data security.

show abstract

“…To deal with false-position security threats, digital signature and plausibility checks are used in a vehicle-to-vehicle secure position-based routing protocol [21], [22]. Hash message authentication code (HMAC) is integrated with the optimized link state routing (OLSR) to generate the secure OLSR (SOLSR) routing protocol [23], [24]. The protocol detects the snooping security threats through the use of symmetric and public cryptographic key.…”

Section: Introductionmentioning

confidence: 99%

Secure Location-Aided Routing Protocols With Wi-Fi Direct For Vehicular Ad Hoc Networks

Saleh

Dong

Aljaafreh

et al. 2022

Int. j. commun. netw. inf. secur.

View full text Add to dashboard Cite

Secure routing protocols are proposed for the vehicular ad hoc networks. The protocolsintegrate the security authentication process with the Location-Aided Routing (LAR) protocol to supportWi-Fi Direct communications between the vehicles. The methods are robust against various security threats.The security authentication process adopts a modified Diffie-Hellman key agreement protocol. The Diffie-Hellman protocol is used with a short authentication string (SAS)-based key agreement over Wi-Fi Directout-of-band communication channels. It protects the communication from any man-in-the-middle securitythreats. In particular, the security process is integrated into two LAR routing schemes, i.e., the request-zoneLAR scheme and the distance-based LAR scheme.We conduct extensive simulations with different networkparameters such as the vehicular node density, the number of the malicious nodes, and the speed of thenodes. Simulation results show that the proposed routing protocols provide superior performance in securedata delivery and average total packet delay. Also, the secure distance-based LAR protocol outperforms thesecure request-zone LAR protocol.

show abstract

IoT Security Evolution: Challenges and Countermeasures Review

Cited by 6 publications

References 0 publications

Design of Lightweight Authentication Protocol for Fog enabled Internet of Things- A Centralized Authentication Framework

Design of Lightweight Authentication Protocol for Fog enabled Internet of Things- A Centralized Authentication Framework

Using Supervised Learning to Detect Command and Control Attacks in IoT

Secure Location-Aided Routing Protocols With Wi-Fi Direct For Vehicular Ad Hoc Networks

Contact Info

Product

Resources

About