Security Challenges in the IP-based Internet of Things

Heer, Tobias; García-Morchón, Óscar; Hummen, René; Keoh, Sye Loong; Kumar, Sandeep; Wehrle, Klaus

doi:10.1007/s11277-011-0385-5

Cited by 326 publications

(136 citation statements)

References 17 publications

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“…Indeed, a user or entity can prove a specific set of properties associated with a subset of identity attributes, without disclosing the content of such attributes itself. Even though some important initiatives, such as PrimeLife (http://primelife.ercim.eu/) or ABC4Trust [22] have analyzed the use of ACS-based and privacy-preserving identity management systems, the IoT paradigm demands adapted solutions to ensure a seamless development of an IP-based approach [23]. Unlike in current Internet scenarios, common IoT use cases are based on a huge amount of heterogeneous smart objects interacting, and consequently, communications protocols and implementation need to be adapted.…”

Section: Related Workmentioning

confidence: 99%

Holistic Privacy-Preserving Identity Management System for the Internet of Things

Bernabé

Hernández-Ramos

Gómez

2017

Mobile Information Systems

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Security and privacy concerns are becoming an important barrier for large scale adoption and deployment of the Internet of Things. To address this issue, the identity management system defined herein provides a novel holistic and privacy-preserving solution aiming to cope with heterogeneous scenarios that requires both traditional online access control and authentication, along with claim-based approach for M2M (machine to machine) interactions required in IoT. It combines a cryptographic approach for claim-based authentication using the Idemix anonymous credential system, together with classic IdM mechanisms by relying on the FIWARE IdM (Keyrock). This symbiosis endows the IdM system with advanced features such as privacy-preserving, minimal disclosure, zero-knowledge proofs, unlikability, confidentiality, pseudonymity, strong authentication, user consent, and offline M2M transactions. The IdM system has been specially tailored for the Internet of Things bearing in mind the management of both users' and smart objects' identity. Moreover, the IdM system has been successfully implemented, deployed, and tested in the scope of SocIoTal European research project.

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Section: Related Workmentioning

confidence: 99%

Holistic Privacy-Preserving Identity Management System for the Internet of Things

Bernabé

Hernández-Ramos

Gómez

2017

Mobile Information Systems

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“…Raymond et al [40], discusses currently used protection methods against DoS in Wireless Sensor Networks. Moreover, Garcia et al [13,14] present various DoS countermeasures such as: DTLS, IKEv2, HIP, and Diet HIP, for IP-based Internet of Things. Finally [19] proposes a DoS detection architecture for 6LoWPAN network with great potential.…”

Section: Disruption Of Service (Dos/ddos)mentioning

confidence: 99%

Secure Data Sharing and Analysis in Cloud-Based Energy Management Systems

Anthi

Javed

Rana

et al. 2017

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Abstract. Analysing data acquired from one or more buildings (through specialist sensors, energy generation capability such as PV panels or smart meters) via a cloud-based Local Energy Management System (LEMS) is increasingly gaining in popularity. In a LEMS, various smart devices within a building are monitored and/or controlled to either investigate energy usage trends within a building, or to investigate mechanisms to reduce total energy demand. However, whenever we are connecting externally monitored/controlled smart devices there are security and privacy concerns. We describe the architecture and components of a LEMS and provide a survey of security and privacy concerns associated with data acquisition and control within a LEMS. Our scenarios specifically focus on the integration of Electric Vehicles (EV) and Energy Storage Units (ESU) at the building premises, to identify how EVs/ESUs can be used to store energy and reduce the electricity costs of the building. We review security strategies and identify potential security attacks that could be carried out on such a system, while exploring vulnerable points in the system. Additionally, we will systematically categorize each vulnerability and look at potential attacks exploiting that vulnerability for LEMS. Finally, we will evaluate current counter measures used against these attacks and suggest possible mitigation strategies.

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“…A number of research projects (for example IETF SOLACE, BUTLER) have already tried to address different security aspects of IIoT and several relevant publications can also be found in the literature [14,15,16,17].…”

Section: Industrial Internet Of Thingsmentioning

confidence: 99%

Internet of Things and Industrial Applications for Precision Machining

Benardos

Vosniakos

2017

SSP

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The Internet of Things (IoT) can be regarded as an attempt to bring together the physical and the digital world by using devices for seamlessly exchanging and processing information that can be used anywhere, anytime. For industrial automation and manufacturing, the Industrial Internet of Things (IIoT) is regarded as the next step of industrial revolution that promises a step-change in productivity and operational efficiency.Precision machining is a field that has received a lot of research interest as it deals with phenomena and underlying mechanisms that are very complex and highly interacting. As the requirements and demand for products of high quality and tolerances that must be produced with shorter lead times are increasing, innovative approaches and methodologies need to be developed to compensate and IIoT offers an appropriate platform. This paper aims to present an overview of IIoT, investigate potential industrial applications for precision machining and predict future trends.

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Security Challenges in the IP-based Internet of Things

Cited by 326 publications

References 17 publications

Holistic Privacy-Preserving Identity Management System for the Internet of Things

Holistic Privacy-Preserving Identity Management System for the Internet of Things

Secure Data Sharing and Analysis in Cloud-Based Energy Management Systems

Internet of Things and Industrial Applications for Precision Machining

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