1,721,218 research outputs found
Wireless Network Intrinsic Secrecy
No full textWireless secrecy is essential for communication confidentiality, health privacy, public safety, information superiority, and economic advantage in the modern information society. Contemporary security systems are based on cryptographic primitives and can be complemented by techniques that exploit the intrinsic properties of a wireless environment. This paper develops a foun- dation for design and analysis of wireless networks with secrecy provided by intrinsic properties such as node spatial distribution, wireless propagation medium, and aggregate network interference. We further propose strategies that mitigate eavesdropping capabilities, and we quantify their benefits in terms of network secrecy metrics. This research provides insights into the essence of wireless network intrinsic secrecy and offers a new perspective on the role of network interference in communication confidentiality
Interference engineering for network secrecy in Nakagami fading channels
No full textThe demand of communication confidentiality in wireless network is rapidly increasing. The level of confidentiality can be enhanced by physical layer techniques exploiting intrinsic properties of a wireless network. We develop a framework for design and analysis of wireless network with secrecy that accounts for node distribution, propagation medium, and intentional interference. The framework enables the quantification of how intentional interference generated via legitimate network resources engineering mitigates the capability of the eavesdropping network. This research provides insight on the opportunistic use of legitimate network resources for enhancing network secrecy. © 2013 IEEE
Cognitive network secrecy with interference engineering
No full textAchieving secrecy in cognitive wireless networks is challenging due to the broadcast nature of the propagation medium. This article introduces the concept of cognitive network secrecy for coexisting primary and secondary networks sharing the same radio resources. We present a framework for the design and analysis of cognitive networks with secrecy that accounts for their intrinsic properties such as node spatial distribution, wireless propagation medium, and aggregate network interference. While interference is usually considered deleterious for communications, we envision that mutual interference between primary and secondary networks can be beneficial for cognitive network secrecy. To this end, we put forth interference engineering strategies and quantify their benefits for cognitive network secrecy. Our analysis reveals the innate connection between cognitive network secrecy and intrinsic properties of the networks, opening the way to a new paradigm of cognitive network secrecy with interference engineering
Distributed secrecy in multilevel wireless networks
No full textSecrecy is a key enabler for various wireless applications in which distributed confidential information is communicated in a multilevel network from sources to destinations. Network secrecy can be accomplished by exploiting the intrinsic properties of multilevel wireless networks (MWNs). This paper introduces the concept of distributed network secrecy (DNS) and develops a framework for design and analysis of confidential MWNs. Our framework accounts for node distribution, network configuration, propagation medium, and communication protocol. This research offers the foundation of DNS and quantifies the impact of network configuration on DNS for self-organizing MWNs
Quantum Discrimination of Noisy Photon-Added Coherent States
Full text linkQuantum state discrimination (QSD) is a key enabler in quantum sensing and networking, for which we envision the utility of non-coherent quantum states such as photon-added coherent states (PACSs). This paper addresses the problem of discriminating between two noisy PACSs. First, we provide representation of PACSs affected by thermal noise during state preparation in terms of Fock basis and quasi-probability distributions. Then, we demonstrate that the use of PACSs instead of coherent states can significantly reduce the error probability in QSD. Finally, we quantify the effects of phase diffusion and pho- ton loss on QSD performance. The findings of this paper reveal the utility of PACSs in several applications involving QSD
Stop-and-Go Receivers for Non-Coherent Impulse Communications
No full textNovel non-coherent impulse communications receivers are proposed to alleviate excessive noise collection in clustered multipath channels. To this aim, a stop-and-go strategy based on energy detection in the autocorrelation receiver or in the energy detection receiver is employed. This strategy enables the selective collection of useful signal portions only, allowing the integration interval to be kept large without noise penalty. To implement this strategy, a blind method is employed, using model order selection based on information theoretic criteria, which optimizes the performance of the proposed receiver and does not require the estimation of channel parameters. The bit error probability of the proposed stop-and-go receivers is evaluated, and our results highlight the considerable performance gain at the expense of a small increase in complexity
Distributed network secrecy
No full textAbstract—Secrecy is essential for a variety of emerging wireless applications where distributed confidential information is com-municated in a multilevel network from sources to destinations. Network secrecy can be accomplished by exploiting the intrinsic properties of multilevel wireless networks (MWNs). This paper introduces the concept of distributed network secrecy (DNS) and develops a framework for the design and analysis of secure, reliable, and efficient MWNs. Our framework accounts for node spatial distribution, multilevel cluster formation, propagation medium, communication protocol, and energy consumption. This research provides a foundation for DNS and offers a new per-spective on the relationship between DNS and network lifetime. Index Terms—Distributed network secrecy, self-organizing wireless networks, stochastic geometry, energy consumption, fading channels, performance evaluation. I
Multi-Tier Network Secrecy in the Ether
No full textCommunications in the ether are highly susceptible to eavesdropping due to the broadcast nature of the wireless medium. To improve communication confidentiality in wireless environments, research efforts have been made to complement cryptography with physical layer security. A recent view of the role of interference, especially in multi-tier wireless networks, suggested that interference engineering can increase the level of communication confidentiality. The design of interference engineering strategies (IESs) requires a thorough characterization of concurrent effects of wireless emissions on legitimate and eavesdropping receivers. This article advocates IESs for achieving a new level of communication confidentiality in multi-tier wireless networks (namely multi-tier network secrecy) with different degrees of coordination among the tiers. Insights on how IES benefits wireless network secrecy are provided, guiding the design of such strategies for a new level of communication confidentiality
Experimental characterization of diversity navigation
No full textWireless networks with navigation capability enable mobile devices to both communicate and determine their positions. Diversity navigation employing multiple sensing technologies can overcome the limitation of individual technologies, especially when operating in harsh environments such as indoors. To characterize the diversity of navigation systems in real environments, we performed an extensive measurement campaign, where data from heterogenous sensors were collected simultaneously. The performance of Bayesian navigation algorithms, relying on the particle filter implementation, is evaluated based on measured data from ultrawideband, ZigBee, and inertial sensors. This enables us to quantify the benefits of data fusion as well as the effect of statistical mobility models for real-time diversity navigation. © 2013 IEEE
Blind Selection of Representative Observations for Sensor Radar Networks
Full text linkSensor radar networks enable important new applications based on accurate localization. They rely on the quality of range measurements, which serve as observations for inferring a target location. In harsh propagation environments (e.g., indoors), such observations can be nonrepresentative of the target due to noise, multipath, clutter, and non-line-of-sight conditions leading to target misdetection, false-alarm events, and inaccurate localization. These conditions can be mitigated by selecting and processing a subset of representative observations. We introduce blind techniques for the selection of representative observations gathered by sensor radars operating in harsh environments. A methodology for the design and analysis of sensor radar networks is developed, taking into account the aforementioned impairments and observation selection. Results are obtained for noncoherent ultra-wideband sensor radars in a typical indoor environment (with obstructions, multipath, and clutter) to enable a clear understanding of how observation selection improves the localization accuracy
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