Secure random number generation in wireless sensor networks

Re, Giuseppe Lo; Milazzo, Fabrizio; Ortolani, Marco

doi:10.1002/cpe.3311

Cited by 8 publications

(3 citation statements)

References 26 publications

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“…Secrecy of values gained in this way can be compromised if an adversary captures the measurements of the external source as well. An example countermeasure for that problem, which uses distributed leader election for selecting a random source of data, was proposed in [25]. As for the internal hardware sources of randomness, the promising approach of using physically unclonable functions is also considered, for example, [26,27].…”

Section: Introductionmentioning

confidence: 99%

Deniable Key Establishment Resistance against eKCI Attacks

Krzywiecki

Wlisłocki

2017

Security and Communication Networks

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In extended Key Compromise Impersonation (eKCI) attack against authenticated key establishment (AKE) protocols the adversary impersonates one party, having the long term key and the ephemeral key of the other peer party. Such an attack can be mounted against variety of AKE protocols, including 3-pass HMQV. An intuitive countermeasure, based on BLS (Boneh-Lynn-Shacham) signatures, for strengthening HMQV was proposed in literature. The original HMQV protocol fulfills the deniability property: a party can deny its participation in the protocol execution, as the peer party can create a fake protocol transcript indistinguishable from the real one. Unfortunately, the modified BLS based version of HMQV is not deniable. In this paper we propose a method for converting HMQV (and similar AKE protocols) into a protocol resistant to eKCI attacks but without losing the original deniability property. For that purpose, instead of the undeniable BLS, we use a modification of Schnorr authentication protocol, which is deniable and immune to ephemeral key leakages.

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Section: Introductionmentioning

confidence: 99%

Deniable Key Establishment Resistance against eKCI Attacks

Krzywiecki

Wlisłocki

2017

Security and Communication Networks

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“…The third paper, Secure Random Number Generation in Wireless Sensor Networks , by Giuseppe Lo Re, Fabrizio Milazzo, and Marco Ortolani , proposes a security framework for the generation of true random numbers, which are among the critical building blocks for many security models such as those deployed on WSNs. The authors recognize the capability of sensor nodes for reliably providing measurements of environmental and physical quantities with natural randomness, which makes them natural candidates as true random number generators.…”

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confidence: 99%

Special issue on trust and security in wireless sensor networks

Orgun

Elçi

Pieprzyk

et al. 2015

Concurrency and Computation

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This special issue of Concurrency and Computation: Practice and Experience focuses on Trust and Security in Wireless Sensor Networks. Many applications of wireless sensor networks (WSNs), such as surveillance of cyber-physical systems infrastructure, habitat monitoring, health care, personal area and body area networking, and traffic control, require secure communications and quality of service. In practice, wireless sensor networks are prone to different types of malicious attacks, such as denial of service, routing protocol attacks as well as replay attacks, traffic analysis, and physical attacks on nodes. Traditional cryptographic schemes may not be sufficient to prevent such emerging attacks encountered in WSNs. Therefore, in a certain sense, trust is a prerequisite for secure communications between sensor nodes in a WSN. It is necessary to use the notion of trust and trust management schemes to build secure and dependable WSN applications to complement other legacy security solutions. Moreover, traditional trust management schemes developed for wired and wireless networks may not be suitable for networks with small sensor nodes due to the limited bandwidth available and the strict node constraints in terms of power and memory, and also the highly distributed, dynamic, and uncertain environments in which they must operate. Therefore, it is important to design, develop, and deploy trust management schemes and security solutions that take into account the intrinsic features of WSNs right off the start.Submissions to this special issue were open to original, high-quality contributions on trust and security in WSNs that were not published or currently under review by any other archival journals or peer-reviewed conferences with formal proceedings. The authors of the relevant papers presented at The 4th International Conference on Security of Information and Networks (SIN 2011) were especially invited to revise and extend their papers for the special issue. The SIN conference series was inaugurated in 2007; the fourth instance of the conference, SIN 2011, was held in Sydney, Australia, in November 2011, organized jointly by Macquarie University, Süleyman Demirel University, Southern Federal University, and Technical University of Darmstadt. SIN 2011 provided an international focus on aspects of security of information and networks and it was therefore closely aligned with the main theme of the special issue. Invited SIN 2011 authors responded to the call for papers and submitted the revised and substantially extended versions of their papers; several other authors from diverse parts of the world have also responded to the call with high-quality submissions. Each submission was sent to two to three reviewers who were experts in different aspects of trust and security in WSNs. After several rounds of stringent reviewing, six high-quality papers were accepted for publication in this special issue. The selected papers address the design and provision of secure services for WSNs including counteracting distributed den...

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“…The third paper, Secure Random Number Generation in Wireless Sensor Networks, by Giuseppe Lo Re, Fabrizio Milazzo, and Marco Ortolani [3], proposes a security framework for the generation of true random numbers, which are among the critical building blocks for many security models such as those deployed on WSNs. The authors recognize the capability of sensor nodes for reliably providing measurements of environmental and physical quantities with natural randomness, which makes them natural candidates as true random number generators.…”

mentioning

confidence: 99%

Protecting source–location privacy based on multirings in wireless sensor networks

Yao

Kang

Deng

et al. 2013

Concurrency and Computation

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Summary Wireless sensor networks (WSNs) are expected to be widely deployed to collect data in military and civilian applications. Because of the open nature of WSNs, it is easy for an adversary to eavesdrop sensor communication and to trace packets, causing privacy concern for the sensor devices. The privacy issue, especially location privacy, can be critical for monitoring applications in WSNs. A unique case of location privacy is that of the sources, which are vulnerable of being captured and target attacks. In this paper, we propose a scheme to protect the source–location privacy based on a novel use of multiring topology. To achieve a uniformly distributed traffic pattern throughout the network, the source node selects two random rings each from its external rings and internal rings and a set of two random angles with a sum of 180 degrees for each packet. The packet is sent at one of the angles in each ring. Fake packets are also injected to provide path diversity and to increase attack time, which is defined as the time that the adversary takes to locate the source successfully. These techniques protect the source node from packet tracing attacks as well as traffic analysis attacks. Our analysis and simulations, performed in the NS2 simulator and MATLAB, demonstrate that our proposed scheme can provide better spatial traffic evenness and longer attack time, along with a modest increase of hop count and energy consumption.Copyright © 2013 John Wiley & Sons, Ltd.

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Secure random number generation in wireless sensor networks

Cited by 8 publications

References 26 publications

Deniable Key Establishment Resistance against eKCI Attacks

Deniable Key Establishment Resistance against eKCI Attacks

Special issue on trust and security in wireless sensor networks

Protecting source–location privacy based on multirings in wireless sensor networks

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