A dynamic key distribution in wireless sensor networks with reduced communication overhead

Kuchipudi, Ramu; Qyser, Ahmed Abdul Moiz; Balaram, V. V. S. S. S.

doi:10.1109/iceeot.2016.7755389

Cited by 5 publications

(4 citation statements)

References 11 publications

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“…Some mechanisms, for example, the master key pre-distribution 9 define a master key which is used (combined with some previously exchanged nonce values) by nodes to re-create the symmetric key. Some schemes 18 use different paradigms to distribute the keys, such as the use of mobile-agents capable of moving inside and distribute the cluster key dynamically and with reduced energy consumption. Alternative schemes use the key-matrix based dynamic key generation, 19 the identity-based encryption 20 and the threshold cryptography 21 to manage and distribute keys while reducing the energy consumption.…”

Section: Introductionmentioning

confidence: 99%

Development of an extended topology-based lightweight cryptographic scheme for IEEE 802.15.4 wireless sensor networks

Tiberti

Caruso

Pomante

et al. 2020

International Journal of Distributed Sensor Networks

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Among the classes of wireless personal area networks, a wireless sensor network typically refers to a versatile and densely distributed sensing platform that enables the support of a wide variety of application domains. Among the various technical challenges addressed by more than one decade of research in wireless sensor networks, security across wireless links is by far one of the most critical ones and relates to the need of guaranteeing reliability and trustiness of the collected data. This article deals with the cryptographic aspects involved in securing wireless sensor networks, in terms of confidentiality and authentication. In particular, moving from some results previously achieved in our research activity, this article extends a cryptography scheme in order to better comply with the security requirements that arise from real-world wireless sensor network installations. The proposed scheme, called topology-authenticated key scheme 2, takes advantage of hybrid cryptography to provide security in the presence of resource-constrained sensor nodes using topology-authenticated keys to provide increased robustness to the scheme itself. The proposed extensions provide full practical support to star-topology wireless sensor networks and the article presents also some experimental results obtained by implementing the scheme on two different wireless sensor network platforms available for protocol stacks compliant with the IEEE 802.15.4 standard.

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Section: Introductionmentioning

confidence: 99%

Development of an extended topology-based lightweight cryptographic scheme for IEEE 802.15.4 wireless sensor networks

Tiberti

Caruso

Pomante

et al. 2020

International Journal of Distributed Sensor Networks

View full text Add to dashboard Cite

show abstract

“…When an off-duty node is replaced with a new node, the new node identity enters in the network, but node topology remains unchanged and the authentication mechanism does not need any updating. Other examples of network-based key predistribution schemes may be found in [1,2,8,14,15].…”

Section: Introductionmentioning

confidence: 99%

An Authenticated Key Scheme over Elliptic Curves for Topological Networks

Aragona¹,

Civino²,

Gavioli³

et al. 2020

Preprint

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Nodes of sensor networks may be resource-constrained devices, often having a limited lifetime, making sensor networks remarkably dynamic environments. Managing a cryptographic protocol on such setups may require a disproportionate effort when it comes to update the secret parameters of new nodes that enter the network in place of dismantled sensors. For this reason, the designers of schemes for sensor network are always concerned with the need of scalable and adaptable solutions. In this work, we present a novel elliptic-curve based solution, derived from the previously released cryptographic protocol TAKS, which addresses this issue. We give a formal description of the scheme, built on a two-dimensional vector space over a prime field and over elliptic curves, where node topology is more relevant than node identity, allowing a dynamic handling of the network and reducing the cost of network updates. We compare our solution with classical Diffie-Hellman-like protocols and we also study some security concerns and their relation to the related discrete logarithm problem over elliptic curves.

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“…The sensing capabilities of IoT sensor nodes include providing measurements such as temperature, pressure, motion, etc. For this purpose, each sensor node in a WSN consists of a sensing, data processing, and memory unit [15]. Each sensor node is additionally equipped with a short-range radio communication unit [15].…”

Section: An Introduction To Wireless Sensor Networkmentioning

confidence: 99%

“…For this purpose, each sensor node in a WSN consists of a sensing, data processing, and memory unit [15]. Each sensor node is additionally equipped with a short-range radio communication unit [15]. Sensor nodes sense data from the ambient environment and send it to an edge node, often referred to as a sink node.…”

Section: An Introduction To Wireless Sensor Networkmentioning

confidence: 99%

Cluster-Based Information-Centric Wireless Sensor Networks Management for Enhanced User Security Satisfaction in the Internet of Things

Gharib¹

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Many Internet of Things applications, such as smart cities and intelligent transportation, require accessible data to users (i.e., data consumers). To address users' timely data access needs, Information-Centric Wireless Sensor Networks (ICWSNs) were proposed that allow users to access data directly from cache nodes. Particularly, ICWSNs are clustered, and Cluster Heads (CHs) are selected to collect data from basic sensing nodes and act as cache nodes. Nevertheless, clustering and ensuring data security in ICWSNs is challenging. This is because sensor nodes are often resource-constrained, heterogeneous (i.e., perform different sensing tasks), and/or mobile.Driven by users' security and timely data access needs, in this thesis, cluster-based ICWSNs' management for enhanced user security satisfaction is investigated. First, a security-aware CHs selection algorithm is proposed to optimize network coverage that is subject to security and energy constraints. Then, cluster-based ICWSNs with heterogeneous communities are modeled analytically and compared to conventional cluster-based ICWSNs with heterogeneous sensor nodes. To overcome the identified energy-latency and security trade-off, a Security Level Aware algorithm for Clusterbased ICWSNs with Heterogeneous communities (SLAC-H) is proposed. In SLAC-H, community leaders collect and forward application-domain-specific data to CHs. Next, Node Embedding with Security Resource Allocation (NESRA) clustering algorithm for mobile ICWSNs is proposed. To improve user security satisfaction, NESRA allocates security resources to sensor nodes based on their location, mobility, and energy resources. Still, when security is set as a priority, many times, more energy is spent on security than is actually required. Therefore, along with the mobility-aware NESRA, User-aware clustering with Security Resource Allocation (USRA) algorithm is proposed. In USRA, a sink node determines which security resource each sensor node will be using for the next round to avoid over-utilization of network resources while satisfying user security needs. A summary of the proposed algorithms and some highlights for future work conclude this thesis. List of Publications List of References viii List of Tables 4.1 Security levels mapping based on the security mechanism used [65]. .

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A dynamic key distribution in wireless sensor networks with reduced communication overhead

Cited by 5 publications

References 11 publications

Development of an extended topology-based lightweight cryptographic scheme for IEEE 802.15.4 wireless sensor networks

Development of an extended topology-based lightweight cryptographic scheme for IEEE 802.15.4 wireless sensor networks

An Authenticated Key Scheme over Elliptic Curves for Topological Networks

Cluster-Based Information-Centric Wireless Sensor Networks Management for Enhanced User Security Satisfaction in the Internet of Things

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