7,523 research outputs found
SecuCode: Intrinsic PUF Entangled Secure Wireless Code Dissemination for Computational RFID Devices
The simplicity of deployment and perpetual operation of energy harvesting
devices provides a compelling proposition for a new class of edge devices for
the Internet of Things. In particular, Computational Radio Frequency
Identification (CRFID) devices are an emerging class of battery-free,
computational, sensing enhanced devices that harvest all of their energy for
operation. Despite wireless connectivity and powering, secure wireless firmware
updates remains an open challenge for CRFID devices due to: intermittent
powering, limited computational capabilities, and the absence of a supervisory
operating system. We present, for the first time, a secure wireless code
dissemination (SecuCode) mechanism for CRFIDs by entangling a device intrinsic
hardware security primitive Static Random Access Memory Physical Unclonable
Function (SRAM PUF) to a firmware update protocol. The design of SecuCode: i)
overcomes the resource-constrained and intermittently powered nature of the
CRFID devices; ii) is fully compatible with existing communication protocols
employed by CRFID devices in particular, ISO-18000-6C protocol; and ii) is
built upon a standard and industry compliant firmware compilation and update
method realized by extending a recent framework for firmware updates provided
by Texas Instruments. We build an end-to-end SecuCode implementation and
conduct extensive experiments to demonstrate standards compliance, evaluate
performance and security.Comment: Accepted to the IEEE Transactions on Dependable and Secure Computin
Semi-Trusted Mixer Based Privacy Preserving Distributed Data Mining for Resource Constrained Devices
In this paper a homomorphic privacy preserving association rule mining
algorithm is proposed which can be deployed in resource constrained devices
(RCD). Privacy preserved exchange of counts of itemsets among distributed
mining sites is a vital part in association rule mining process. Existing
cryptography based privacy preserving solutions consume lot of computation due
to complex mathematical equations involved. Therefore less computation involved
privacy solutions are extremely necessary to deploy mining applications in RCD.
In this algorithm, a semi-trusted mixer is used to unify the counts of itemsets
encrypted by all mining sites without revealing individual values. The proposed
algorithm is built on with a well known communication efficient association
rule mining algorithm named count distribution (CD). Security proofs along with
performance analysis and comparison show the well acceptability and
effectiveness of the proposed algorithm. Efficient and straightforward privacy
model and satisfactory performance of the protocol promote itself among one of
the initiatives in deploying data mining application in RCD.Comment: IEEE Publication format, International Journal of Computer Science
and Information Security, IJCSIS, Vol. 8 No. 1, April 2010, USA. ISSN 1947
5500, http://sites.google.com/site/ijcsis
Authorization Framework for the Internet-of-Things
This paper describes a framework that allows fine-grained
and flexible access control to connected devices with very
limited processing power and memory.
We propose a set of security and performance requirements
for this setting and derive an authorization framework distributing
processing costs between constrained devices and less constrained back-end servers while keeping message exchanges
with the constrained devices at a minimum.
As a proof of concept we present performance results from
a prototype implementing the device part of the framework
The Meeting of Acquaintances: A Cost-efficient Authentication Scheme for Light-weight Objects with Transient Trust Level and Plurality Approach
Wireless sensor networks consist of a large number of distributed sensor
nodes so that potential risks are becoming more and more unpredictable. The new
entrants pose the potential risks when they move into the secure zone. To build
a door wall that provides safe and secured for the system, many recent research
works applied the initial authentication process. However, the majority of the
previous articles only focused on the Central Authority (CA) since this leads
to an increase in the computation cost and energy consumption for the specific
cases on the Internet of Things (IoT). Hence, in this article, we will lessen
the importance of these third parties through proposing an enhanced
authentication mechanism that includes key management and evaluation based on
the past interactions to assist the objects joining a secured area without any
nearby CA. We refer to a mobility dataset from CRAWDAD collected at the
University Politehnica of Bucharest and rebuild into a new random dataset
larger than the old one. The new one is an input for a simulated authenticating
algorithm to observe the communication cost and resource usage of devices. Our
proposal helps the authenticating flexible, being strict with unknown devices
into the secured zone. The threshold of maximum friends can modify based on the
optimization of the symmetric-key algorithm to diminish communication costs
(our experimental results compare to previous schemes less than 2000 bits) and
raise flexibility in resource-constrained environments.Comment: 27 page
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