Security Challenges of the Internet of Things

Samaila, Musa G.; Neto, Miguel; Fernandes, Diogo A. B.; Freire, Mário M.; Inácio, Pedro R. M.

doi:10.1007/978-3-319-50758-3_3

Cited by 43 publications

(21 citation statements)

References 29 publications

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“…Detailed surveys on applications of IoT are in [18][19][20]. Studies on general threats and vulnerabilities of IoT includes [21][22][23][24]. Due to the sizable potential of Internet of Things there is need to analyze the potential security challenges such as malware.…”

Section: Introductionmentioning

confidence: 99%

Internet of Things Malware : A Survey

Karanja¹,

Masupe²,

Jeffrey³

2017

IJCSES

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Section: Introductionmentioning

confidence: 99%

Internet of Things Malware : A Survey

Karanja¹,

Masupe²,

Jeffrey³

2017

IJCSES

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“…A MDS monitors network data to match observed activities against an existing blacklist. Nevertheless, although it produces high detection rates and low false positive rates, it cannot identify any zeroday attacks or even variants of known ones [5]. Conversely, an ADS establishes a normal profile and discovers any variation from it as an attack.…”

Section: Background and Related Workmentioning

confidence: 99%

“…Cloud's vulnerabilities expose the confidentiality, integrity or/and availability of its resources. This is because that data and virtualised infrastructure of cloud systems can be breached by existing and new attacks [5]. The security challenge of a cloud computing system occurs when a cloud runs a high storage capacity and computing power that is abused by an insider or outsider hacker [6].…”

Section: Introductionmentioning

confidence: 99%

Collaborative anomaly detection framework for handling big data of cloud computing

Moustafa

Creech

Sitnikova

et al. 2017

2017 Military Communications and Information Systems Conference (MilCIS)

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Abstract-With the ubiquitous computing of providing services and applications at anywhere and anytime, cloud computing is the best option as it offers flexible and pay-per-use based services to its customers. Nevertheless, security and privacy are the main challenges to its success due to its dynamic and distributed architecture, resulting in generating big data that should be carefully analysed for detecting network's vulnerabilities. In this paper, we propose a Collaborative Anomaly Detection Framework (CADF) for detecting cyber attacks from cloud computing environments. We provide the technical functions and deployment of the framework to illustrate its methodology of implementation and installation. The framework is evaluated on the UNSW-NB15 dataset to check its credibility while deploying it in cloud computing environments. The experimental results showed that this framework can easily handle large-scale systems as its implementation requires only estimating statistical measures from network observations. Moreover, the evaluation performance of the framework outperforms three state-of-the-art techniques in terms of false positive rate and detection rate.

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“…Samaila et al [46] proposed an extensive analysis of security challenges of IoT. In this study the authors considered several issues including implementation of security in IoT, resource limitations, heterogeneity of IoT environments, applications and devices, security awareness of the users and maintenance of security after deployment.…”

Section: Related Workmentioning

confidence: 99%

Security of Internet of Things for a Reliable Internet of Services

Arış

Oktuğ

Voigt

2018

Lecture Notes in Computer Science

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Abstract. The Internet of Things (IoT) consists of resource-constrained devices (e.g., sensors and actuators) which form low power and lossy networks to connect to the Internet. With billions of devices deployed in various environments, IoT is one of the main building blocks of future Internet of Services (IoS). Limited power, processing, storage and radio dictate extremely efficient usage of these resources to achieve high reliability and availability in IoS. Denial of Service (DoS) and Distributed DoS (DDoS) attacks aim to misuse the resources and cause interruptions, delays, losses and degrade the offered services in IoT. DoS attacks are clearly threats for availability and reliability of IoT, and thus of IoS. For highly reliable and available IoS, such attacks have to be prevented, detected or mitigated autonomously. In this study, we propose a comprehensive investigation of Internet of Things security for reliable Internet of Services. We review the characteristics of IoT environments, cryptography-based security mechanisms and D/DoS attacks targeting IoT networks. In addition to these, we extensively analyze the intrusion detection and mitigation mechanisms proposed for IoT and evaluate them from various points of view. Lastly, we consider and discuss the open issues yet to be researched for more reliable and available IoT and IoS.

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Security Challenges of the Internet of Things

Cited by 43 publications

References 29 publications

Internet of Things Malware : A Survey

Internet of Things Malware : A Survey

Collaborative anomaly detection framework for handling big data of cloud computing

Security of Internet of Things for a Reliable Internet of Services

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