An experimental investigation on energy consumption for secure life-logging in smart environments

Petroulakis, Nikolaos E.; Τράγος, Ηλίας; Askoxylakis, Ioannis G.

doi:10.1109/camad.2012.6335353

Cited by 4 publications

(5 citation statements)

References 6 publications

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“…Por ejemplo el chip de radio modelo CC2420 fabricado por la empresa Texas Instruments, y que son empleadas por las motas TelosB, pueden llegar hasta 250 m [28][29] mientras que las de XBee-PRO S1 hasta 1.6 km [30] y las XBee-PRO ZB (S2) a hasta 3.2 km [31]. Este aspecto es importante dado que se consideran las distancias existentes entre cada uno de los nodos, como se evidencia en la Figura 6.…”

Section: Baterías Panel Solar Cableadounclassified

Diseño de una red de sensores inalámbricos para la monitorización de inundaciones repentinas en la ciudad de Barranquilla, Colombia

Cama-Pinto

Acosta-Coll

Piñeres-Espitia

et al. 2016

Ingeniare. Rev. chil. ing.

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Section: Baterías Panel Solar Cableadounclassified

Diseño de una red de sensores inalámbricos para la monitorización de inundaciones repentinas en la ciudad de Barranquilla, Colombia

Cama-Pinto

Acosta-Coll

Piñeres-Espitia

et al. 2016

Ingeniare. Rev. chil. ing.

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“…The polymeter stores electric current and these values are used as the main measurements for this investigation. The power consumption is measured in watts (1) and in watt-hour (2).…”

Section: Performance Evaluationmentioning

confidence: 99%

“…The term smart object refers to small ubiquitous devices, such as sensors, actuators, RFID tags, smart phones and embed-✩ This submission is an extended version of our conference papers "Lifelogging in Smart Environments: Challenges and Security Threats" which appeared in the IEEE ICC-WS Conwire 2012 [1] and "An Experimental Investigation on Energy Consumption for Secure Life-logging in Smart Environments" which appeared in the 17th IEEE Camad 2012 [2] and has been invited for the ISTR journal publication. ded systems or any other type of objects that are equipped with "intelligence".…”

Section: Introductionmentioning

confidence: 99%

A lightweight framework for secure life-logging in smart environments

Petroulakis

Τράγος

Fragkiadakis

et al. 2013

Information Security Technical Report

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This is the accepted version of the paper.This version of the publication may differ from the final published version. Permanent repository link AbstractAs the world becomes an interconnected network where objects and humans interact with each other, new challenges and threats appear in the ecosystem. In this interconnected world, smart objects have an important role in giving users the chance for life-logging in smart environments. However, smart devices have several limitations with regards to memory, resources and computation power, hindering the opportunity to apply well-established security algorithms and techniques for secure life-logging on the Internet of Things (IoT) domain. The need for secure and trustworthy life-logging in smart environments is vital, thus, a lightweight approach has to be considered to overcome the constraints of smart objects. The purpose of this paper is to present in details the current topics of life-logging in smart environments, while describing interconnection issues, security threats and suggesting a lightweight framework for ensuring security, privacy and trustworthy life-logging. In order to investigate the efficiency of the lightweight framework and the impact of the security attacks on energy consumption, an experimental test-bed was developed including two interconnected users and one smart attacker, who attempts to intercept transmitted messages or interfere with the communication link. Several mitigation factors, such as power control, channel assignment and AES-128 encryption were applied for secure life-logging. Finally, research into the degradation of the consumed energy regarding the described intrusions is presented.

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“…In this paper, we extend our previous work in [9][10][11] by investigating attacks, challenges and methods to preserve privacy in user-centric thin clients such as CPSs. We analyze the most severe privacy challenges occurred from passive attacks, such as eavesdropping and tra c analysis, and from active attacks, such as impersonation and jamming.…”

Section: Introductionmentioning

confidence: 99%

“…To investigate the energy consumption of the di↵erent levels of privacy model, we extend our previously developed test-bed setup [10,11]. The experimental test-bed consists of three Digi XBee Pro 802.15.4 devices which correspond to CPS A, CPS B and CPS C. All devices are connected through their serial cable with Matlab.…”

Section: Test-bed Setupmentioning

confidence: 99%