20 research outputs found

    Interpose PUF can be PAC Learned

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    In this work, we prove that Interpose PUF is learnable in the PAC model. First, we show that Interpose PUF can be approximated by a Linear Threshold Function~(LTF), assuming the interpose bit to be random. We translate the randomness in the interpose bit to classification noise of the hypothesis. Using classification noise model, we prove that the resultant LTF can be learned with number of labelled examples~(challenge response pairs) polynomial in the number of stages and PAC model parameters

    PAC Learnability of iPUF Variants

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    Interpose PUF~(iPUF) is a strong PUF construction that was shown to be vulnerable against empirical machine learning as well as PAC learning attacks. In this work, we extend the PAC Learning results of Interpose PUF to prove that the variants of iPUF are also learnable in the PAC model under the Linear Threshold Function representation class

    PUF-COTE: A PUF Construction with Challenge Obfuscation and Throughput Enhancement

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    Physically Unclonable Functions~(PUFs) have been a potent choice for enabling low-cost, secure communication. However, the state-of-the-art strong PUFs generate single-bit response. So, we propose PUF-COTE: a high throughput architecture based on linear feedback shift register and a strong PUF as the ``base\u27\u27-PUF. At the same time, we obfuscate the challenges to the ``base\u27\u27-PUF of the final construction. We experimentally evaluate the quality of the construction by implementing it on Artix 7 FPGAs. We evaluate the statistical quality of the responses~(using NIST SP800-92 test suit and standard PUF metrics: uniformity, uniqueness, reliability, strict avalanche criterion, ML-based modelling), which is a crucial factor for cryptographic applications

    Systematically Quantifying Cryptanalytic Non-Linearities in Strong PUFs

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    Physically Unclonable Functions~(PUFs) with large challenge space~(also called Strong PUFs) are promoted for usage in authentications and various other cryptographic and security applications. In order to qualify for these cryptographic applications, the Boolean functions realized by PUFs need to possess a high non-linearity~(NL). However, with a large challenge space~(usually ≥64\geq 64 bits), measuring NL by classical techniques like Walsh transformation is computationally infeasible. In this paper, we propose the usage of a heuristic-based measure called non-homomorphicity test which estimates the NL of Boolean functions with high accuracy in spite of not needing access to the entire challenge-response set. We also combine our analysis with a technique used in linear cryptanalysis, called Piling-up lemma, to measure the NL of popular PUF compositions. As a demonstration to justify the soundness of the metric, we perform extensive experimentation by first estimating the NL of constituent Arbiter/Bistable Ring PUFs using the non-homomorphicity test, and then applying them to quantify the same for their XOR compositions namely XOR Arbiter PUFs and XOR Bistable Ring PUF. Our findings show that the metric explains the impact of various parameter choices of these PUF compositions on the NL obtained and thus promises to be used as an important objective criterion for future efforts to evaluate PUF designs. While the framework is not representative of the machine learning robustness of PUFs, it can be a useful complementary tool to analyze the cryptanalytic strengths of PUF primitives

    A successful pregnancy occurred after isolating the offending antibody(s) and choosing appropriate sperm donor of similar phenotype

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    Sensitization against Rh(D )is the most common cause of haemolytic disease of fetus and newborn (HDFN). Now a days, a widespread use of antenatal and postnatal Rh immunoglobulin has resulted in marked decrease in prevalence of Rh(D) alloimmunization. Fetal loss due to other red cell antigens gain importance as there are no prophylactic immunoglobulin are available. Here, we present a case of primary infertility associated with non Rh(D) alloimmunization which was detected in a 30 year old housewife during her ongoing infertility treatment. The antibody identification workup showed patient is having multiple alloantibodies , probable anti-c, and anti-Fya. The extended phenotype shows that the husband is mismatched with the wife's phenotype in “c” and Fya. Also the probable antibody in the mother's serum are anti-c and anti-Fya which are noted to cause HDFN as per literature

    Isolation of Pure Compound R/J/3 from Pluchea Indica (L.) Less. and its Anti-Amoebic Activities Against Entamoeba HGistolytica

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    The plant Pluchea indica is known for its anti-inflammatory, anti-ulcer, anti-pyretic, hypoglycemic, diuretic and antimicrobial activities besides many other pharmacological activities. We have isolated and purified seven compounds from the methanolic root extract of this plant by column chromatography. The compounds were identified by spectroscopic analyses. The anti-amoebic activities of the pure compound R/J/3 was investigated against the HM1 strain of Entamoeba histolytica. The compound, R/J/3 showed the most pronounced anti-proliferative activity at a dose of 50 mg/ml. It also showed a marked activity on cell lysis of trophozoites, 4 h after administration. The cell lytic activity was compared with metronidazole (5 mg/ml) as positive control
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