1,720,964 research outputs found
SPD-driven Smart Transmission Layer Based on a Software Defined Radio Test Bed Architecture
No full textCognitive Radio as a technological breakthrough and enabler for concepts such as Opportunistic Spectrum
Access and Dynamic Spectrum Access has so far received significant attention from the research community
from a theoretical standpoint. In this work, we build upon the theoretical foundation and present an implementation
of a Software Defined Radio/Cognitive Radio platform, with the feature under particular interest being
the so-called Smart Transmission Layer. Smart Transmission Layer is a feature developed within the currently
ongoing nSHIELD project, whose goal is establishing new paradigms for Security, Privacy and Dependability
(SPD) of the future embedded systems. The role of the SPD-driven Smart Transmission Layer is providing reliable
and efficient communications in critical channel conditions by using adaptive and flexible algorithms for
dynamically configuring and adapting various transmission-related parameters. The implementation was done
on the test bed consisting of two Secure Wideband Multi-role - Single-Channel Handheld Radios (SWAVE
HH) coupled with the powerful proprietary multi-processor embedded platforms, and the corresponding auxiliaries.
Several case studies were performed, namely: remote control of the radios, analysis of the installed
waveforms, interference detection, and spectrum sensing using a quasi-real-time energy detector. A roadmap
towards the future implementation aspects using the test bed was set
A fictitious play-based game-theoretical approach to alleviating jamming attacks for Cognitive radios"
No full textOn-the-fly reconfigurability capabilities and learning
prospectives of Cognitive Radios inherently bring a set of
new security issues. One of them is intelligent radio frequency
jamming, where adversary is able to deploy advanced
jamming strategies to degrade performance of the communication
system. In this paper, we observe the jamming/antijamming
problem from a game-theoretical perspective. A
game with incomplete information on opponent’s payoff and
strategy is modelled as a Markov Decision Process (MDP).
A variant of fictitious play learning algorithm is deployed to
find optimal strategies in terms of combination of channel
hopping and power alteration anti-jamming schemes
"Spectrum Intelligence for Interference Mitigation for Cognitive Radio Terminals"
No full textCognitive Radio (CR) is defined as a radio that is aware
of its surroundings and adapts intelligently. While CR technology
is mainly cited as the enabler for solving the spectrum
scarcity problems by the means of Dynamic Spectrum Access
(DSA), perspectives and potential applications of the CR
technology far surpass the DSA alone. For example, cognitive
capabilities and on-the-fly reconfiguration abilities of
CRs constitute an important next step in the Communication
Electronic Warfare (CEW). They may enable the jamming
entities with the capabilities of devising and deploying advanced
jamming tactics. Analogously, they may also aid the
development of the advanced intelligent self-reconfigurable
systems for jamming mitigation. This work outlines the development
and implementation of the Spectrum Intelligence
algorithm for Radio Frequency (RF) interference mitigation.
The developed system is built upon the ideas of obtaining
relevant spectrum-related data by using wideband energy
detectors, performing narrowband waveform identification
and extracting the waveforms’ parameters. The recognized
relevant spectrum activities are then continuously monitored
and stored. Coupled with the self-reconfigurability of various
transmission-related parameters, the Spectrum Intelligence is
the facilitator for the advanced interference mitigation strategies.
The implementation is done on the Cognitive Radio
coaxial test bed architecture which consists of two Software
Defined Radio terminals, each interconnected with the computationally
powerful System-on-Module (SoM)
Cognitive Radio as the Facilitator for Advanced Communications Electronic Warfare Solutions
No full textThroughout the 1990s, Software Defined Radio (SDR) technology was viewed almost exclusively as a solution for interoperability problems between various military standards, waveforms and devices. In the meantime, Cognitive Radio (CR) – a novel communication paradigm which embodies SDR with intelligence and self-reconfigurability properties – has emerged. Intelligence and on-the-fly self-reconfiguration abilities of CRs constitute an important next step in the Communications Electronic Warfare, as they may enable the jamming entities with the capabilities of devising and deploying advanced jamming tactics. Similarly, they may also aid the development of the advanced intelligent self-reconfigurable systems for jamming mitigation. This work outlines the development and implementation of the Spectrum Intelligence algorithm for Radio Frequency (RF) interference mitigation. The developed system is built upon the ideas of obtaining relevant spectrum-related data by using wideband energy detectors, performing narrowband waveform identification, extracting the waveforms’ parameters and properly classifying the waveforms. All relevant spectrum activities are continuously monitored and stored. Coupled with the self-reconfigurability of various transmission-related parameters, Spectrum Intelligence is the facilitator for the advanced interference mitigation strategies. The implementation is done on the Cognitive Radio test bed architecture which consists of two military Software Defined Radio terminals, each interconnected with the computationally powerful System-on-Module. © 2015, Springer Science+Business Media New York
Distributed cognitive radio architecture with automatic frequency switching
No full textAbstract—The employment of sophisticated tools for data analysis in distributed or structurally complex systems requires the
development of specific architectures and data fusion strategies
in order to integrate heterogeneous information coming from
the environmental sensors. Recently, intelligent sensor networks
have been widely deployed for various purposes concerning
both security- and safety-oriented systems. Military and civil
applications ranging from border surveillance and public spaces
monitoring to ambient intelligence and road safety are examples
of such various applications. The architecture presented in this
article is based on the Cognitive Node (CN) - a module able
to receive data from the sensors, process it in order to find
potentially harmful or anomalous events and situations and, in
some cases, to interact with the environment itself or contact the
human operator. The cognitive model was studied and exploited,
focusing on the analysis and decision blocks which represent the
crucial phases for assessing potentially unsecure/unsafe events
and/or situations. The scalability of the model with regards
to different application domains was investigated during the
research activity. Proposed results show the capability of the
given architecture for analysis and assessment of the occurring
interactions, with the goal of maintaining proper security/safety
levels in the monitored environment
Compressed sensing based jammer detection algorithm for wide-band cognitive radio networks
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2015 3rd International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar, and Remote Sensing, CoSeRa 2015
16 November 2015, Article number 7330276, Pages 119-123
3rd International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar, and Remote Sensing, CoSeRa 2015; Pisa; Italy; 17 June 2015 through 19 June 2015; Category numberCFP1571Z-ART; Code 118216
Compressed sensing based jammer detection algorithm for wide-band cognitive radio networks (Conference Paper)
Mughal, M.O. , Dabcevic, K., Marcenaro, L., Regazzoni, C.S.
Department of Electrical, Electronic Telecommunications Engineering and Naval Architecture - DITEN, University of Genova, Italy
View references (23)
Abstract
This paper proposes a new algorithm for jammer detection in wide-band (WB) cognitive radio networks. We consider a WB which comprises of multiple fixed length narrow-band sub-bands (SB). These SBs are occupied by narrow-band signals which can be legitimate users or a jammer. To reduce the overhead of the analog-to-digital conversion (ADC), compressed sensing (CS) is performed first. CS allows us to estimate a WB spectrum with sub-Nyquist rate sampling. After that, energy detection is applied to identify the occupied sub-bands (SB). Then, for each occupied SB, some waveform parameters such as signal bandwidth and power spectral density (PSD) levels are compared with licit user database to classify the observed signal as a licit user or a jammer. In the end, performance of the proposed algorithm is shown with the help of monte carlo simulations under different empirical setup
Intelligent cognitive radio jamming - a game-theoretical approach
Full text link\u3cp\u3eCognitive radio (CR) promises to be a solution for the spectrum underutilization problems. However, security issues pertaining to cognitive radio technology are still an understudied topic. One of the prevailing such issues are intelligent radio frequency (RF) jamming attacks, where adversaries are able to exploit on-the-fly reconfigurability potentials and learning mechanisms of cognitive radios in order to devise and deploy advanced jamming tactics. In this paper, we use a game-theoretical approach to analyze jamming/anti-jamming behavior between cognitive radio systems. A non-zero-sum game with incomplete information on an opponent’s strategy and payoff is modelled as an extension of Markov decision process (MDP). Learning algorithms based on adaptive payoff play and fictitious play are considered. A combination of frequency hopping and power alteration is deployed as an anti-jamming scheme. A real-life software-defined radio (SDR) platform is used in order to perform measurements useful for quantifying the jamming impacts, as well as to infer relevant hardware-related properties. Results of these measurements are then used as parameters for the modelled jamming/anti-jamming game and are compared to the Nash equilibrium of the game. Simulation results indicate, among other, the benefit provided to the jammer when it is employed with the spectrum sensing algorithm in proactive frequency hopping and power alteration schemes.\u3c/p\u3
Security in Cognitive Radio Networks
No full textWhile bringing the potential for solving the spectrum underutilization problem using methods
such as dynamic and opportunistic spectrum access, Cognitive Radios (CRs) also bring a set of
security issues and potential breaches that have to be addressed. These issues come out mainly
from the two important capabilities implemented within CRs: their cognition ability and
reconfigurability.
This chapter will focus on identifying, presenting and classifying the main potential security
attacks and vulnerabilities, as well as proposing appropriate counter-measures and solutions for
them.
These will be supplemented by simulation results and metrics, with the intention of estimating the
efficiency of each of the observed attacks and its counter-measure. The presented simulations are
performed in the proprietary C/C++ and Matlab/Simulink simulators.
nSHIELD is a major ongoing European embedded systems security-related project, which will
be used to demonstrate the practicability of the potential implementation of the proposed
countermeasures and solutions for the discussed security problems and issues
Experimental Study of Spectrum Estimation and Reconstruction based on Compressive Sampling for Cognitive Radios"
No full textThis paper addresses the experimental study of
the wide band signal estimation and reconstruction using the
established compressive sampling (CS) methods. For this purpose,
a hardware test bed was setup inter-connecting a wide band
SDR based hand held military radio (SWAVE HH or HH),
vector signal generator, bi-directional coupler, attenuators, PC
and other auxiliaries. Real-world communication signals were
created by the signal generator and SWAVE HH was used to
scan these signals. The discrete samples from the HH were
collected on PC for reconstruction and application of CS. It was
shown that good reconstruction of the acquired wide band signal
is possible with sub-Nyquist rate sampling by means of signal
reconstruction under CS framework. In the end, mean squared
error (MSE) performance is shown to indicate better estimation
and reconstruction of the signal with higher compression rate
and higher sparsity
Evaluation of Software Defined Radio platform with respect to implementation of 802.15.4 Zigbee
No full textWith the development of powerful computational resources such as Digital Signal Processors and Field Programmable Gate Arrays, It has become possible to utilize many radio functions via software. This is the main concept of an up-and-coming technology of Software Defined Radio. In the Thesis, a number of platforms for implementation of Software Defined Radio has been evaluated. Platform that proved to be most suitable for the project was Ettus’ USRP N210. Using the platform, implementation of 802.15.4 Zigbee’s physical layer was done, where experiments whose outputs can later be used to compare performance with respect to "hardware radios" were performed.Med utvecklingen av enheter med kraftfulla beräkningsegenskaper som “Digital Signal Processors” och “Field Programmable Gate Arrays” har det blivit möjligt att implementera flera radiofunktioner i mjukvara. Det är huvudkonceptet i den uppåtgående teknologin mjukvaru definierad radio.I det här examensarbetet har ett flertal plattformar för mjukvaru definierad radioutvärderats. Plattformen som visade sig vara mest lämplig för projektet var Ettus USRP N210. En implementation av IEEE 802.15.4 Zigbees fysiska lager har realiserats till plattformen. Experiment, vars utdata senare kan användas för att jämföra prestanda mellan mjukvaru definierad radio och hårdvaru baserad radio, har även utförts.TESLA - Time-critical and Safe wireLess Automation communicationGAUSS - Guaranteed Automation communication Under Severe disturbance
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