The Experts below are selected from a list of 127914 Experts worldwide ranked by ideXlab platform
David Blaauw - One of the best experts on this subject based on the ideXlab platform.
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A true random number generator using time-dependent dielectric breakdown
2011 Symposium on VLSI Circuits - Digest of Technical Papers, 2011Co-Authors: Nathaniel Pinckney, Scott Hanson, Dennis Sylvester, David BlaauwAbstract:A true random number generator (tRNG) is proposed that, for the first time, uses the random Physical Process of time to oxide breakdown under voltage stress. Time to breakdown is repeatedly measured with a counter and serialized into a bitstream. The 1200 μm2 tRNG, called OxiGen, was fabricated in 65 nm CMOS, passes all 15 NIST randomness tests without post-Processing and in a 3 month run generated sufficient bits for worst-case expected internet use while being
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A true random number generator using time-dependent dielectric breakdown
2011Co-Authors: Nathaniel Pinckney, Scott Hanson, Dennis Sylvester, David BlaauwAbstract:A true random number generator (tRNG) is proposed that, for the first time, uses the random Physical Process of time to oxide breakdown under voltage stress. Time to breakdown is repeatedly measured with a counter and serialized into a bitstream. The 1200 µm2 tRNG, called OxiGen, was fabricated in 65 nm CMOS, passes all 15 NIST randomness tests without post-Processing and in a 3 month run generated sufficient bits for worst-case expected internet use while being < 10% exhausted.
Michael A Temple - One of the best experts on this subject based on the ideXlab platform.
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Enhancing Critical Infrastructure and Key Resources (CIKR) Level-0 Physical Process Security Using Field Device Distinct Native Attribute Features
IEEE Transactions on Information Forensics and Security, 2018Co-Authors: Juan Lopez, Nathan C Liefer, Colin R Busho, Michael A TempleAbstract:The need for improved critical infrastructure and key resource security is unquestioned and there has been minimal emphasis on level-0 (PHY Process) improvements. Wired signal distinct native attribute finger-printing is investigated here as a non-intrusive PHY-based security augmentation to support an envisioned layered security strategy. Results are based on experimental response collections from highway addressable remote transducer differential pressure transmitter devices from three manufacturers (Yokogawa, Honeywell, and Endress+Hauser) in an automated Process control system. Device discrimination is assessed using time domain (TD) and slope-based FSK (SB-FSK) fingerprints input to multiple discriminant analysis, maximum likelihood and random forest (RndF) classifiers. For 12 different classes (two devices per manufacturer at two distinct set points), both classifiers performed reliably and achieved an arbitrary performance benchmark of average cross-class percent correct of %C > 90%. The least challenging cross-manufacturer results included near-perfect %C ≈ 100%, while the more challenging like-model (serial number) discrimination results included 90%
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enhancing critical infrastructure and key resources cikr level 0 Physical Process security using field device distinct native attribute features
IEEE Transactions on Information Forensics and Security, 2017Co-Authors: Juan Lopez, Nathan C Liefer, Colin R Busho, Michael A TempleAbstract:The need for improved critical infrastructure and key resource security is unquestioned and there has been minimal emphasis on level-0 (PHY Process) improvements. Wired signal distinct native attribute finger-printing is investigated here as a non-intrusive PHY-based security augmentation to support an envisioned layered security strategy. Results are based on experimental response collections from highway addressable remote transducer differential pressure transmitter devices from three manufacturers (Yokogawa, Honeywell, and Endress+Hauser) in an automated Process control system. Device discrimination is assessed using time domain (TD) and slope-based FSK (SB-FSK) fingerprints input to multiple discriminant analysis, maximum likelihood and random forest (RndF) classifiers. For 12 different classes (two devices per manufacturer at two distinct set points), both classifiers performed reliably and achieved an arbitrary performance benchmark of average cross-class percent correct of %C > 90%. The least challenging cross-manufacturer results included near-perfect %C ≈ 100%, while the more challenging like-model (serial number) discrimination results included 90% <; %C <; 100%, with TD fingerprinting marginally outperforming SB-FSK fingerprinting; SB-FSK benefits from having less stringent response alignment and registration requirements. The RndF classifier was most beneficial and enabled reliable selection of dimensionally reduced fingerprint subsets that minimize data storage and computational requirements. The RndF selected feature sets contained 15% of the full-dimensional feature sets and only suffered a worst case %C Δ = 3% to %C Δ = 4% performance degradation.
Hemanshu Roy Pota - One of the best experts on this subject based on the ideXlab platform.
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Taxonomy of attacks for agent-based smart grids
IEEE Transactions on Parallel and Distributed Systems, 2014Co-Authors: Jiankun Hu, Hemanshu Roy Pota, Song GuoAbstract:Being the most important critical infrastructure in Cyber-Physical Systems (CPSs), a smart grid exhibits the complicated nature of large scale, distributed and dynamic environment. Taxonomy of attacks is an effective tool in systematically classifying attacks and it has been placed as a top research topic in CPS by an NSF (National Science Foundation) Workshop. Most existing taxonomy of attacks in CPS are inadequate in addressing the tight coupling of cyber-Physical Process or/and lack systematical construction. This paper attempts to introduce taxonomy of attacks of agent-based smart grids as an effective tool to provide a structured framework. The proposed idea of introducing the structure of space-time and information flow direction, security feature, and cyber-Physical causality is innovative and it can establish a taxonomy design mechanism that can systematically construct the taxonomy of cyber attacks which could have potential impact on the normal operation of the agent based smart grids. Based on the cyber-Physical relationship revealed in the taxonomy, a concrete Physical Process based cyber attack detection scheme has been proposed. A numerical illustrative example has been provided to valid the proposed Physical Process based cyber detection scheme.
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Taxonomy of Attacks for Agent-Based Smart Grids
IEEE Transactions on Parallel and Distributed Systems, 2014Co-Authors: Jiankun Hu, Hemanshu Roy PotaAbstract:Being the most important critical infrastructure in Cyber-Physical Systems (CPSs), a smart grid exhibits the complicated nature of large scale, distributed, and dynamic environment. Taxonomy of attacks is an effective tool in systematically classifying attacks and it has been placed as a top research topic in CPS by a National Science Foundation (NSG) Workshop. Most existing taxonomy of attacks in CPS are inadequate in addressing the tight coupling of cyber-Physical Process or/and lack systematical construction. This paper attempts to introduce taxonomy of attacks of agent-based smart grids as an effective tool to provide a structured framework. The proposed idea of introducing the structure of space-time and information flow direction, security feature, and cyber-Physical causality is innovative, and it can establish a taxonomy design mechanism that can systematically construct the taxonomy of cyber attacks, which could have a potential impact on the normal operation of the agent-based smart grids. Based on the cyber-Physical relationship revealed in the taxonomy, a concrete Physical Process based cyber attack detection scheme has been proposed. A numerical illustrative example has been provided to validate the proposed Physical Process based cyber detection scheme.
Jiankun Hu - One of the best experts on this subject based on the ideXlab platform.
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Taxonomy of attacks for agent-based smart grids
IEEE Transactions on Parallel and Distributed Systems, 2014Co-Authors: Jiankun Hu, Hemanshu Roy Pota, Song GuoAbstract:Being the most important critical infrastructure in Cyber-Physical Systems (CPSs), a smart grid exhibits the complicated nature of large scale, distributed and dynamic environment. Taxonomy of attacks is an effective tool in systematically classifying attacks and it has been placed as a top research topic in CPS by an NSF (National Science Foundation) Workshop. Most existing taxonomy of attacks in CPS are inadequate in addressing the tight coupling of cyber-Physical Process or/and lack systematical construction. This paper attempts to introduce taxonomy of attacks of agent-based smart grids as an effective tool to provide a structured framework. The proposed idea of introducing the structure of space-time and information flow direction, security feature, and cyber-Physical causality is innovative and it can establish a taxonomy design mechanism that can systematically construct the taxonomy of cyber attacks which could have potential impact on the normal operation of the agent based smart grids. Based on the cyber-Physical relationship revealed in the taxonomy, a concrete Physical Process based cyber attack detection scheme has been proposed. A numerical illustrative example has been provided to valid the proposed Physical Process based cyber detection scheme.
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Taxonomy of Attacks for Agent-Based Smart Grids
IEEE Transactions on Parallel and Distributed Systems, 2014Co-Authors: Jiankun Hu, Hemanshu Roy PotaAbstract:Being the most important critical infrastructure in Cyber-Physical Systems (CPSs), a smart grid exhibits the complicated nature of large scale, distributed, and dynamic environment. Taxonomy of attacks is an effective tool in systematically classifying attacks and it has been placed as a top research topic in CPS by a National Science Foundation (NSG) Workshop. Most existing taxonomy of attacks in CPS are inadequate in addressing the tight coupling of cyber-Physical Process or/and lack systematical construction. This paper attempts to introduce taxonomy of attacks of agent-based smart grids as an effective tool to provide a structured framework. The proposed idea of introducing the structure of space-time and information flow direction, security feature, and cyber-Physical causality is innovative, and it can establish a taxonomy design mechanism that can systematically construct the taxonomy of cyber attacks, which could have a potential impact on the normal operation of the agent-based smart grids. Based on the cyber-Physical relationship revealed in the taxonomy, a concrete Physical Process based cyber attack detection scheme has been proposed. A numerical illustrative example has been provided to validate the proposed Physical Process based cyber detection scheme.
Nathaniel Pinckney - One of the best experts on this subject based on the ideXlab platform.
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A true random number generator using time-dependent dielectric breakdown
2011 Symposium on VLSI Circuits - Digest of Technical Papers, 2011Co-Authors: Nathaniel Pinckney, Scott Hanson, Dennis Sylvester, David BlaauwAbstract:A true random number generator (tRNG) is proposed that, for the first time, uses the random Physical Process of time to oxide breakdown under voltage stress. Time to breakdown is repeatedly measured with a counter and serialized into a bitstream. The 1200 μm2 tRNG, called OxiGen, was fabricated in 65 nm CMOS, passes all 15 NIST randomness tests without post-Processing and in a 3 month run generated sufficient bits for worst-case expected internet use while being
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A true random number generator using time-dependent dielectric breakdown
2011Co-Authors: Nathaniel Pinckney, Scott Hanson, Dennis Sylvester, David BlaauwAbstract:A true random number generator (tRNG) is proposed that, for the first time, uses the random Physical Process of time to oxide breakdown under voltage stress. Time to breakdown is repeatedly measured with a counter and serialized into a bitstream. The 1200 µm2 tRNG, called OxiGen, was fabricated in 65 nm CMOS, passes all 15 NIST randomness tests without post-Processing and in a 3 month run generated sufficient bits for worst-case expected internet use while being < 10% exhausted.
