A lightweight framework for secure life-logging in smart environments

Abstract

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.

Ensuring Privacy during Pervasive Logging by a Passerby

“…They pointed out that the use of smartphones for lifelogging can make data private via encryption [31]; however, their approach failed to consider the privacy of bystanders who may be in the range of the logging device. Petroulakis et al [32] considered security and privacy issues in lifelogging in the smart environment and proposed a lightweight framework, with the focus on interconnectivity of devices and sharing of preferences and habits. They studied the energy consumption using a communication model and an attacker model using an experimental test-platform for secure sharing of lifelogs under different scenarios.…”

MICKEY 2.0.85: A Secure and Lighter MICKEY 2.0 Cipher Variant with Improved Power Consumption for Smaller Devices in the IoT

“…Lightweight ciphers are considered efficient and optimal solutions for the IoT because they provide security to small devices connected to networks. In addition, symmetric cryptography was shown to help with decreasing the devices' power consumption, which allows more small devices to be connected within the networks [16].…”

“…(The operations described above and depicted in Figures 2-4 make use of these data structures.) 1,3,4,5,6,9,12,13,16,19,20,21,22,25,28,37,38,41,42,45,46…”

A Privacy-Level Model of User-Centric Cyber-Physical Systems

“…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.…”

“…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.…”