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$k^{\prime}$ -Lucas Sequence for Elliptic Curve Cryptography

$k^{\prime}$ -Lucas Sequence for Elliptic Curve Cryptography

Advances in Computer Science, Electrical, Electronics, and Communication Technologies (CE2CT), International Conference on

作者： Abhinav Surjeet Singh Chauhan Gonder Prachi Garg Sudhanshu Shekhar Dubey Department of Mathematics Chandigarh University Gharuan Punjab India

ISBN: (数字)9798331518578

ISBN: (纸本)9798331518585

The $\boldsymbol{k}^{\prime}$ -Lucas sequence is a significant generalization of the classical Lucas sequence, exhibiting various intriguing properties and applications across mathematics and cryptography. The study of $\boldsymbol{k}^{\prime}$ -Lucas-like sequences on elliptic curves has gained attention recently, which offer unique structural advantages for cryptographic systems. An extension of the $\boldsymbol{k}^{\prime}$ -Lucas sequence defined on elliptic curves (EC) is presented in this study, highlighting its recursive nature and algebraic characteristics. Additionally, we suggest an encryption scheme that makes use of this sequence, leveraging the complexities inherent in “Elliptic Curve Discrete Logarithm Problem (ECDLP)” [1]. Our findings indicate that this approach enhances security and opens new avenues for robust cryptographic protocols.

关键词： Computer science Electric potential Elliptic curves Elliptic curve cryptography Mathematics Communications technology Encryption Complexity theory Cryptographic protocols adaptive coding

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Xgboost Based Regression Forecast for ACM on Q/V-band Satellite Links

Xgboost Based Regression Forecast for ACM on Q/V-band Satell...

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European Conference on Antennas and Propagation, EuCAP

作者： Mirela Fetescu Johannes Ebert Karin Plimon Martin Winter Michael Schmidt Franz Teschl Antonio Martellucci Graz University of Technology Graz Austria JOANNEUM RESEARCH - DIGITAL Graz Austria ESA-ESTEC Noordwijk The Netherlands

ISBN: (数字)9788831299107

ISBN: (纸本)9798350366327

This paper presents a comparison between classical adaptive coding and modulation (ACM) with fixed modulation and coding (ModCod) margins and two machine learning (ML)-based approaches: univariate and multivariate forecasting models. Both ML approaches are based on variants of Extreme Gradient Boosting (XGBoost) to predict signal-tonoise ratio (SNR) time series, aiding ACM switching decisions. The evaluation of the ACM algorithms is conducted using two years of Q/V-band channel data recorded at the ground station in Graz, Austria, using the Alphasat TDP5 Aldo Paraboni Q/Vband payload. The results demonstrate that the multivariate forecasting model outperforms both the classical ACM algorithm and the univariate forecasting model in terms of spectral efficiency. Additionally, the multivariate model eliminates the need for direct SNR estimation by using easily measurable parameters from the modem.

关键词： Adaptation models Spectral efficiency Computational modeling Modulation Predictive models Modems Forecasting Signal to noise ratio Payloads adaptive coding

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Throughput of SatCom and Earth Observation Fade-Mitigated Links in X and Ka Bands Simulated from Synthetic Attenuation Time Series

Throughput of SatCom and Earth Observation Fade-Mitigated Li...

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European Conference on Antennas and Propagation, EuCAP

作者： Laurent Quibus Mohamad Younes Éric Plouhinec CReC Saint-Cyr Saint-Cyr Coëtquidan Military Academy Guer France University of Rennes IETR - UMR CNRS 6164 Rennes France INSA Rennes IETR - UMR CNRS 6164 Rennes France

ISBN: (数字)9788831299107

ISBN: (纸本)9798350366327

Thanks to the larger bandwidths, satellite systems at higher frequencies are expected to provide higher data throughputs for communications and Earth observation alike. These higher frequencies are however also linked to stronger propagation impairments of the carrier which must be accounted for in the system design. This paper presents a numerical study of military satellite link budgets when moving from X to Ka band. A first approach based on the distributions of the attenuation helps to select the appropriate modulation and coding. A second approach uses recent developments in attenuation synthetic time series to explore two strategies of fade mitigation: adaptive coding for the communication via a geostationary satellite, and site diversity for the download of data from low Earth orbit.

关键词： Earth Time series analysis Low earth orbit satellites Stochastic processes Attenuation Throughput Military satellites Ka-band System analysis and design adaptive coding

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adaptive Combined Channel-Network coding for Cooperative Relay Aided Cognitive Radio Networks

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INFORMATION 2021年第8期12卷 320页

作者： AbuZeid, Mohamed S. Fahmy, Yasmine A. El-Soudani, Magdy S. Cairo Univ Fac Engn Elect & Elect Commun Engn Dept Giza 12613 Egypt

Cognitive radio (CR) is one of the emerging technologies for 4G/5G applications. Cooperative relay communications and network coding are some techniques that helped in enhancing the CR applications. This paper considers a primary broadcasting system for multimedia video streaming applications that broadcasts data to the primary users and to an aiding cooperative relay CR secondary system. The cooperative overlay secondary system can use many error control coding techniques for point-to-point data retransmissions such as channel coding, network coding, and combined coding techniques to enhance the system performance under variable channel conditions. This work proposes a novel adaptive combined channel network coding (AC2NC) technique for data retransmissions. The new AC2NC first analyses the channel feedback information and then selects the best retransmission coding technique based on the targeted bandwidth or transmission time optimization. This is instead of using a single static channel or network coding technique with dynamic channel conditions. The proposed AC2NC improves the system throughput, decreases the retransmission time, and avails more spectrum access opportunities for the secondary system's own data transmissions. The AC2NC relative bandwidth and time saving opportunities for CR users can exceed 90% under certain channel conditions versus some static coding techniques.

关键词： adaptive coding AC2NC cognitive radio network coding channel coding

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Hardware implementation of a new adaptive 1D wavelet coding algorithm

Hardware implementation of a new adaptive 1D wavelet coding ...

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International Conference on Electrical, Electronic and Computer Engineering (ICEEC)

作者： N.A.E. Ghamry S.E.-D. Habib H.A. Elsimary Electronics Research Institute Giza Egypt Electronics and Communication Department Cairo University Egypt

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Transform coding using adaptive bases and quantization

Transform coding using adaptive bases and quantization

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IEEE International Conference on Image Processing

作者： V.K. Goyal J. Zhuang M. Vetterli C. Chan Department of Electrical Engineering and Computer Science University of California Berkeley USA

This paper considers the problem of universal transform coding based on estimating the Karhunen-Loeve transform from quantized data. The use of quantized data in the estimation allows the encoder and decoder to maintain the same state without any side information. A theorem is presented that proves, under certain conditions, that consistent estimation of all the required moments is possible from uniformly scalar quantized data regardless of the quantization coarseness. This consistent estimation requires the solution of nonlinear equations. Very simple approximations that avoid these nonlinear equations are used to develop a practical adaptive coding technique. Promising experimental results obtained with this method are presented.

关键词： Transform coding Quantization Decoding Nonlinear equations Statistics Costs Computer science State estimation adaptive coding Huffman coding

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CELP speech coding based on an adaptive pulse position codebook

CELP speech coding based on an adaptive pulse position codeb...

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： T. Amada K. Miseki M. Akamine Kansai Research Laboratories Toshiba Corporation Kobe Japan

CELP coders using pulse codebooks for excitations such as ACELP have the advantages of low complexity and high speech quality. At low bit rates, however, the decrease of pulse position candidates and the number of pulses degrades reconstructed speech quality. This paper describes a method for adaptively allocating of pulse position candidates. In the proposed method, N efficient candidates of pulse positions are selected out of all possible positions in a subframe. The amplitude envelope of an adaptive code vector is used for selecting N efficient candidates. The larger the amplitude is, the more pulse positions are assigned. Using an adaptive code vector for the adaptation, the proposed method requires no additional bits for the adaptation. Experimental results show that the proposed method increases WSNRseg by 0.3 dB and MOS by 0.15.

关键词： Speech coding adaptive coding Vectors Shape Bit rate Degradation Speech analysis Speech synthesis Laboratories Signal analysis

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Efficient coding of LPC parameters using adaptive prefiltering and MSVQ with partially adaptive codebook

Efficient coding of LPC parameters using adaptive prefilteri...

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Y. Tanaka T. Taniguchi Fujitsu Laboratories Limited Kawasaki Japan

The authors propose an efficient vector quantization scheme and a novel linear predictive coding (LPC) analysis scheme, both of which exploit interframe correlation in the successive spectrum envelope of speech signals. The first quantization scheme proposed is a multistage vector quantization of line spectrum pair (LSP) parameters with a partially adaptive codebook (MSVQ-AC). The second algorithm is an LPC analysis scheme, with closed-loop adaptive prefiltering (LPC-PF), which realized temporary higher-order analysis than the standard LPC with a few additional transmission bits. A combined system of the LPC-PF and two-split, two-stage VQ with the adaptive codebook can quantize tenth-order LSP parameters at around 23 bits/frame, realizing sufficient quality and reasonable complexity.< >

关键词： Linear predictive coding adaptive coding Vector quantization Encoding Delay Speech analysis Bit rate Speech coding Discrete cosine transforms Laboratories

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adaptive discrete cosine transform coding with vector quantization for color images

Adaptive discrete cosine transform coding with vector quanti...

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： K. Aizawa H. Harashima H. Miyakawa Department of Electrical Engineering University of Tokyo Tokyo Japan

A new vector quantization scheme in discrete cosine transform domain, named DCT-VQ and its application to color image coding are described. In this scheme, DCT-domain is partitioned into vectors which are normalized and vector-quantized using universal vector quantizers designed with multidimensional Laplacian distribution. adaptive coding scheme is also introduced to obtain better reconstruction of images. The color image coder employs the above scheme and encodes separately three components converted from R,G,B signals. The simulations have shown that adaptive DCT-VQ exhibits better performance than a conventional adaptive cosine transform coding with scalar quantization. The decomposition of DCT-block into vectors results in much less complex coder than a vector quantizer in original space domain.

关键词： Discrete cosine transforms Image coding Vector quantization Color Multidimensional systems Laplace equations adaptive coding Image reconstruction Image converters Transform coding

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adaptive Erasure Correction coding for Energy Efficient Dependable Storage Systems

Adaptive Erasure Correction Coding for Energy Efficient Depe...

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IEEE Symposium on Reliable Distributed Systems Workshops (SRDSW)

作者： Kousuke Ota Viet Ta Hong Haruhiko Kaneko Graduate School of Information Science and Engineering Tokyo Institute of Technology Tokyo Japan

Erasure correction coding is an effective technique to improve the dependability of distributed storage systems and disk arrays, in which codeword symbols are distributed over multiple storage elements (SEs), e.g., storage nodes and disk drives. One of the major drawbacks of such storage systems is increased data update cost, that is, data update in one SE induces simultaneous multiple update accesses to a specified set of SEs to keep consistency of codewords. The SEs sometimes have high access cost due to, for example, large delay caused by access collision with other workloads, temporary network cutoff, and malicious attack, and high energy consumption caused by resume operations from power suspension mode. This paper proposes an adaptive coding and data allocation method which can reduce the number of update accesses to SEs having high access cost. The proposed method is based on adaptive allocation of codeword symbols of Reed-Solomon code with conditional overwrites of check symbols, and also on background relocation of codeword symbols. Preliminary simulation results show that the proposed method provides sufficiently low data loss probability with reduced energy consumption compared to RAID-1 and -6.

关键词： Encoding Arrays Resource management adaptive arrays Energy consumption adaptive coding Barium

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