The Experts below are selected from a list of 324 Experts worldwide ranked by ideXlab platform
Michael J. Mendenhall - One of the best experts on this subject based on the ideXlab platform.
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RF-DNA Fingerprinting for airport WiMax communications security
Proceedings - 2010 4th International Conference on Network and System Security, NSS 2010, 2010Co-Authors: McKay D. Williams, Sheldon A. Munns, Michael A. Temple, Michael J. MendenhallAbstract:Wireless communication security is addressed using device-specific RF-DNA fingerprints in a localized regional air monitor. The targeted application includes IEEE 802.16 WiMax-based airport communications such as being proposed by the Euro control and FAA organizations-concept validation is currently underway using the Aeronautical Mobile Airport Communications System (AeroMACS) network. Security enhancement via RF-DNA Fingerprinting is motivated by earlier RF-DNA work using GMSK-based intra-cellular GSM signals and OFDM-based 802.11a peer-to-peer WiFi signals. The commonality that WiMax shares with these two existing communication systems, i.e., the cellular control structure of GSM and the multi-carrier OFDM modulation of 802.11a, suggests that RF-DNA Fingerprinting may be effective for WiMax device discrimination. This is important given that WiMax shares some common features that may prove detrimental, to include bit-level authentication, privacy, and security mechanisms. It is reasonable to assume that these bit-level mechanisms will come under attack as ``hackers'' apply lessons learned from their previous successes. The contributions of this paper include: 1) the introduction of a Spectral Domain (SD) RF-DNA Fingerprinting technique to augment previous Time Domain (TD) and Wavelet Domain (WD) techniques, and 2) a first look at AeroMACS physical waveform features and the potential applicability of RF-DNA Fingerprinting using operationally collected signals.
Björn Rotter - One of the best experts on this subject based on the ideXlab platform.
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DNA Fingerprinting in botany: past, present, future
Investigative Genetics, 2014Co-Authors: Hilde Nybom, Kurt Weising, Björn RotterAbstract:Almost three decades ago Alec Jeffreys published his seminal Nature papers on the use of minisatellite probes for DNA Fingerprinting of humans (Jeffreys and colleagues Nature 1985, 314:67–73 and Nature 1985, 316:76–79). The new technology was soon adopted for many other organisms including plants, and when Hilde Nybom, Kurt Weising and Alec Jeffreys first met at the very First International Conference on DNA Fingerprinting in Berne, Switzerland, in 1990, everybody was enthusiastic about the novel method that allowed us for the first time to discriminate between humans, animals, plants and fungi on the individual level using DNA markers. A newsletter coined “Fingerprint News” was launched, T-shirts were sold, and the proceedings of the Berne conference filled a first book on “DNA Fingerprinting: approaches and applications”. Four more conferences were about to follow, one on each continent, and Alec Jeffreys of course was invited to all of them. Since these early days, methodologies have undergone a rapid evolution and diversification. A multitude of techniques have been developed, optimized, and eventually abandoned when novel and more efficient and/or more reliable methods appeared. Despite some overlap between the lifetimes of the different technologies, three phases can be defined that coincide with major technological advances. Whereas the first phase of DNA Fingerprinting (“the past”) was dominated by restriction fragment analysis in conjunction with Southern blot hybridization, the advent of the PCR in the late 1980s gave way to the development of PCR-based single- or multi-locus profiling techniques in the second phase. Given that many routine applications of plant DNA Fingerprinting still rely on PCR-based markers, we here refer to these methods as “DNA Fingerprinting in the present”, and include numerous examples in the present review. The beginning of the third phase actually dates back to 2005, when several novel, highly parallel DNA sequencing strategies were developed that increased the throughput over current Sanger sequencing technology 1000-fold and more. High-speed DNA sequencing was soon also exploited for DNA Fingerprinting in plants, either in terms of facilitated marker development, or directly in the sense of “genotyping-by-sequencing”. Whereas these novel approaches are applied at an ever increasing rate also in non-model species, they are still far from routine, and we therefore treat them here as “DNA Fingerprinting in the future”.
Michael A. Temple - One of the best experts on this subject based on the ideXlab platform.
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Gabor-based RF-DNA Fingerprinting for classifying 802.16e WiMAX mobile subscribers
2012 International Conference on Computing, Networking and Communications, ICNC'12, 2012Co-Authors: Donald R. Reising, Michael A. Temple, Mark E. OxleyAbstract:Previous work has demonstrated the viability of using RF-DNA Fingerprinting to provide serial number discrimination of IEEE 802.11a WiFi devices as a means to augment conventional bit-level security. This was done using RF-DNA extracted from signal regions containing standard pre-defined responses (preamble, midamble, etc.). Using these responses, proof-of-concept demonstrations with RF-DNA Fingerprinting have shown some effectiveness for providing serial number discrimination. The discrimination challenge increases considerably when pre-defined signal responses are not present. This challenge is addressed here using experimentally collected IEEE 802.16e WiMAX signals from Alvarion BreezeMAX Mobile Subscriber (MS) devices. Relative to previous Time Domain (TD) and Spectral Domain (SD) fingerprint features, joint time-frequency Gabor (GT) and Gabor-Wigner (GWT) Transform features are considered here as a means to extract greater device discriminating information. For comparison, RF-DNA is extracted from TD, SD, GT, and GWT responses and MDA/ML feature extraction and classification performed. Preliminary assessment shows that Gabor-based RF-DNA Fingerprinting is much more effective than either TD or SD methods. GT RF-DNA Fingerprinting achieves individual WiMAX MS device classification of 98.5% or better for SNR ≥ −3 dB.
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Physical layer identification of embedded devices using RF-DNA Fingerprinting
Proceedings - IEEE Military Communications Conference MILCOM, 2010Co-Authors: William E. Cobb, Eric W. Garcia, Rusty O. Baldwin, Michael A. Temple, Yong C. KimAbstract:RF distinct native attribute (RF-DNA) Fingerprinting is introduced as a means to uniquely identify embedded processors and other integrated circuit devices by passively monitoring and exploiting unintentional RF emissions. Device discrimination is accomplished using RF-DNA fingerprints comprised of higher-order statistical features based on instantaneous amplitude and frequency responses as a device executes a sequence of operations. The resultant fingerprints are input to a Multiple Discriminant Analysis/Maximum Likelihood (MDA/ML) processor for subsequent device discrimination. Using devices from a given manufacturer and experimentally collected side channel signals, 90–100% identification accuracy is achieved for SNR ≥ 12 dB for devices with identical part numbers from the same production lot. Depending on the level of required classification accuracy, RF-DNA Fingerprinting is well-suited for realistic environments and practical operating distances. Applications of device RF-DNA fingerprints include supplementary physical layer authentication of secure tokens (e.g. smart cards), detection of counterfeit electronic devices or unauthorized modification, and forensic attribution of a device's unique identity in criminal or other investigations.
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RF-DNA Fingerprinting for airport WiMax communications security
Proceedings - 2010 4th International Conference on Network and System Security, NSS 2010, 2010Co-Authors: McKay D. Williams, Sheldon A. Munns, Michael A. Temple, Michael J. MendenhallAbstract:Wireless communication security is addressed using device-specific RF-DNA fingerprints in a localized regional air monitor. The targeted application includes IEEE 802.16 WiMax-based airport communications such as being proposed by the Euro control and FAA organizations-concept validation is currently underway using the Aeronautical Mobile Airport Communications System (AeroMACS) network. Security enhancement via RF-DNA Fingerprinting is motivated by earlier RF-DNA work using GMSK-based intra-cellular GSM signals and OFDM-based 802.11a peer-to-peer WiFi signals. The commonality that WiMax shares with these two existing communication systems, i.e., the cellular control structure of GSM and the multi-carrier OFDM modulation of 802.11a, suggests that RF-DNA Fingerprinting may be effective for WiMax device discrimination. This is important given that WiMax shares some common features that may prove detrimental, to include bit-level authentication, privacy, and security mechanisms. It is reasonable to assume that these bit-level mechanisms will come under attack as ``hackers'' apply lessons learned from their previous successes. The contributions of this paper include: 1) the introduction of a Spectral Domain (SD) RF-DNA Fingerprinting technique to augment previous Time Domain (TD) and Wavelet Domain (WD) techniques, and 2) a first look at AeroMACS physical waveform features and the potential applicability of RF-DNA Fingerprinting using operationally collected signals.
McKay D. Williams - One of the best experts on this subject based on the ideXlab platform.
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RF-DNA Fingerprinting for airport WiMax communications security
Proceedings - 2010 4th International Conference on Network and System Security, NSS 2010, 2010Co-Authors: McKay D. Williams, Sheldon A. Munns, Michael A. Temple, Michael J. MendenhallAbstract:Wireless communication security is addressed using device-specific RF-DNA fingerprints in a localized regional air monitor. The targeted application includes IEEE 802.16 WiMax-based airport communications such as being proposed by the Euro control and FAA organizations-concept validation is currently underway using the Aeronautical Mobile Airport Communications System (AeroMACS) network. Security enhancement via RF-DNA Fingerprinting is motivated by earlier RF-DNA work using GMSK-based intra-cellular GSM signals and OFDM-based 802.11a peer-to-peer WiFi signals. The commonality that WiMax shares with these two existing communication systems, i.e., the cellular control structure of GSM and the multi-carrier OFDM modulation of 802.11a, suggests that RF-DNA Fingerprinting may be effective for WiMax device discrimination. This is important given that WiMax shares some common features that may prove detrimental, to include bit-level authentication, privacy, and security mechanisms. It is reasonable to assume that these bit-level mechanisms will come under attack as ``hackers'' apply lessons learned from their previous successes. The contributions of this paper include: 1) the introduction of a Spectral Domain (SD) RF-DNA Fingerprinting technique to augment previous Time Domain (TD) and Wavelet Domain (WD) techniques, and 2) a first look at AeroMACS physical waveform features and the potential applicability of RF-DNA Fingerprinting using operationally collected signals.
Lutz Roewer - One of the best experts on this subject based on the ideXlab platform.
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DNA Fingerprinting in forensics past present future
Investigative Genetics, 2013Co-Authors: Lutz RoewerAbstract:DNA Fingerprinting, one of the great discoveries of the late 20th century, has revolutionized forensic investigations. This review briefly recapitulates 30 years of progress in forensic DNA analysis which helps to convict criminals, exonerate the wrongly accused, and identify victims of crime, disasters, and war. Current standard methods based on short tandem repeats (STRs) as well as lineage markers (Y chromosome, mitochondrial DNA) are covered and applications are illustrated by casework examples. Benefits and risks of expanding forensic DNA databases are discussed and we ask what the future holds for forensic DNA Fingerprinting.