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Establishment and Application of Cryptographic Library Model

Journal of Computer and Communications 2015年第5期3卷 21-32页

作者： Tie-Ming Liu Lie-Hui Jiang Jing Jing Yuan-Yuan Zhang The State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

When doing reverse analysis of program’s binary codes, it is often to encounter the function of cryptographic library. In order to reduce workload, a cryptographic library model has been designed by analysts. Models use formalized approach to describe the frame of cryptology and the structure of cryptographic function, complete the mapping from cryptographic function property to its architecture, and accomplish the result presentation of data analysis and mapping at last. The model can solve two problems: the first one is to know the hierarchy of the cryptographic function in the library well;the second one is to know some kinds of information, such as related cryptology algorithm and protocol, etc. These function implements can display the result graphically. The model can find relevant knowledge for the analysts automatically and rapidly, which is helpful to the learning of the overall abstract structure of cryptology.

关键词： Cryptographic Library Model Cryptographic Library Architecture Cryptographic Algorithm Encryption and Decryption keys Encryption and Decryption Data Information Recovery

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The Design and Research for Network Address Space Randomization in OpenFlow Network

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Journal of Computer and Communications 2015年第5期3卷 203-211页

作者： Ziyu Zhao Yuanbo Guo Wei Liu State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

By allocating IP address and changing IP address in source and destination hosts, network address space randomization is committed to construct a dynamic and heterogeneous network to decrease the attacking possibility and predictability. The research mainly deploys the features of OpenFlow network including data plane and control plane decoupling, centralized control of the network and dynamic updating of forwarding rules, combines the advantages of the network address space randomization technology with the features of the OpenFlow network, and designs a novel resolution towards IP conversion in Floodlight controller. The research can help improve the unpredictability and decrease the possibility of worm attacking and IP sniffing by IP allocation.

关键词： IP Conversion OpenFlow Moving Target Defense Floodlight Hitlist Worms

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Search for anisotropic gravitational-wave backgrounds using data from advanced LIGO and advanced Virgo’s first three observing runs

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Physical Review D 2021年第2期104卷 022005-022005页

作者： R. Abbott T. D. Abbott S. Abraham F. Acernese K. Ackley A. Adams C. Adams R. X. Adhikari V. B. Adya C. Affeldt D. Agarwal M. Agathos K. Agatsuma N. Aggarwal O. D. Aguiar L. Aiello A. Ain P. Ajith T. Akutsu K. M. Aleman G. Allen A. Allocca P. A. Altin A. Amato S. Anand A. Ananyeva S. B. Anderson W. G. Anderson M. Ando S. V. Angelova S. Ansoldi J. M. Antelis S. Antier S. Appert Koya Arai Koji Arai Y. Arai S. Araki A. Araya M. C. Araya J. S. Areeda M. Arène N. Aritomi N. Arnaud S. M. Aronson H. Asada Y. Asali G. Ashton Y. Aso S. M. Aston P. Astone F. Aubin P. Aufmuth K. AultONeal C. Austin S. Babak F. Badaracco M. K. M. Bader S. Bae Y. Bae A. M. Baer S. Bagnasco Y. Bai L. Baiotti J. Baird R. Bajpai M. Ball G. Ballardin S. W. Ballmer M. Bals A. Balsamo G. Baltus S. Banagiri D. Bankar R. S. Bankar J. C. Barayoga C. Barbieri B. C. Barish D. Barker P. Barneo F. Barone B. Barr L. Barsotti M. Barsuglia D. Barta J. Bartlett M. A. Barton I. Bartos R. Bassiri A. Basti M. Bawaj J. C. Bayley A. C. Baylor M. Bazzan B. Bécsy V. M. Bedakihale M. Bejger I. Belahcene V. Benedetto D. Beniwal M. G. Benjamin T. F. Bennett J. D. Bentley M. BenYaala F. Bergamin B. K. Berger S. Bernuzzi D. Bersanetti A. Bertolini J. Betzwieser R. Bhandare A. V. Bhandari D. Bhattacharjee S. Bhaumik J. Bidler I. A. Bilenko G. Billingsley R. Birney O. Birnholtz S. Biscans M. Bischi S. Biscoveanu A. Bisht B. Biswas M. Bitossi M.-A. Bizouard J. K. Blackburn J. Blackman C. D. Blair D. G. Blair R. M. Blair F. Bobba N. Bode M. Boer G. Bogaert M. Boldrini F. Bondu E. Bonilla R. Bonnand P. Booker B. A. Boom R. Bork V. Boschi N. Bose S. Bose V. Bossilkov V. Boudart Y. Bouffanais A. Bozzi C. Bradaschia P. R. Brady A. Bramley A. Branch M. Branchesi J. E. Brau M. Breschi T. Briant J. H. Briggs A. Brillet M. Brinkmann P. Brockill A. F. Brooks J. Brooks D. D. Brown S. Brunett G. Bruno R. Bruntz J. Bryant A. Buikema T. Bulik H. J. Bulten A. Buonanno R. Buscicchio D. Buskulic R. L. Byer L. Cadonati M. Caesar G. Cagnoli C. Cahillane H. W. Cain, III J. Calderón Bustillo J. LIGO Laboratory California Institute of Technology Pasadena California 91125 USA Louisiana State University Baton Rouge Louisiana 70803 USA Inter-University Centre for Astronomy and Astrophysics Pune 411007 India Dipartimento di Farmacia Università di Salerno I-84084 Fisciano Salerno Italy INFN Sezione di Napoli Complesso Universitario di Monte S.Angelo I-80126 Napoli Italy OzGrav School of Physics & Astronomy Monash University Clayton 3800 Victoria Australia Christopher Newport University Newport News Virginia 23606 USA LIGO Livingston Observatory Livingston Louisiana 70754 USA OzGrav Australian National University Canberra Australian Capital Territory 0200 Australia Max Planck Institute for Gravitational Physics (Albert Einstein Institute) D-30167 Hannover Germany Leibniz Universität Hannover D-30167 Hannover Germany University of Cambridge Cambridge CB2 1TN United Kingdom Theoretisch-Physikalisches Institut Friedrich-Schiller-Universität Jena D-07743 Jena Germany University of Birmingham Birmingham B15 2TT United Kingdom Center for Interdisciplinary Exploration & Research in Astrophysics (CIERA) Northwestern University Evanston Illinois 60208 USA Instituto Nacional de Pesquisas Espaciais 12227-010 São José dos Campos São Paulo Brazil Gravity Exploration Institute Cardiff University Cardiff CF24 3AA United Kingdom Gran Sasso Science Institute (GSSI) I-67100 L’Aquila Italy INFN Laboratori Nazionali del Gran Sasso I-67100 Assergi Italy INFN Sezione di Pisa I-56127 Pisa Italy Università di Pisa I-56127 Pisa Italy International Centre for Theoretical Sciences Tata Institute of Fundamental Research Bengaluru 560089 India Gravitational Wave Science Project National Astronomical Observatory of Japan (NAOJ) Mitaka City Tokyo 181-8588 Japan Advanced Technology Center National Astronomical Observatory of Japan (NAOJ) Mitaka City Tokyo 181-8588 Japan California State University Fullerton Fullerton California 92831 USA NCSA University of Illinois

We report results from searches for anisotropic stochastic gravitational-wave backgrounds using data from the first three observing runs of the advanced LIGO and advanced Virgo detectors. For the first time, we include Virgo data in our analysis and run our search with a new efficient pipeline called pystoch on data folded over one sidereal day. We use gravitational-wave radiometry (broadband and narrow band) to produce sky maps of stochastic gravitational-wave backgrounds and to search for gravitational waves from point sources. A spherical harmonic decomposition method is employed to look for gravitational-wave emission from spatially-extended sources. Neither technique found evidence of gravitational-wave signals. Hence we derive 95% confidence-level upper limit sky maps on the gravitational-wave energy flux from broadband point sources, ranging from Fα,Θ<(0.013–7.6)×10−8 erg cm−2 s−1 Hz−1, and on the (normalized) gravitational-wave energy density spectrum from extended sources, ranging from Ωα,Θ<(0.57–9.3)×10−9 sr−1, depending on direction (Θ) and spectral index (α). These limits improve upon previous limits by factors of 2.9–3.5. We also set 95% confidence level upper limits on the frequency-dependent strain amplitudes of quasimonochromatic gravitational waves coming from three interesting targets, Scorpius X-1, SN 1987A and the Galactic Center, with best upper limits range from h0<(1.7–2.1)×10−25, a factor of ≥2.0 improvement compared to previous stochastic radiometer searches.

关键词： Experimental studies of gravity General relativity Gravitational waves

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Carrier-depletion mach-zehnder silicon optical modulator for bpsk and multi-level applications

Carrier-depletion mach-zehnder silicon optical modulator for...

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Asia Communications and Photonics Conference, ACPC 2015

作者： Ding, Jianfeng Yang, Lin Zhang, Lei State Key Laboratory on Integrated Optoelectronics Institute of Semiconductors P. O. Box 912 Beijing100083 China State Key Laboratory of Mathematical Engineering and Advanced Computing Wuxi214125 China

ISBN: (纸本)9781943580064

关键词： Light modulators

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Active defense strategy selection based on static Bayesian game 3

Active defense strategy selection based on static Bayesian g...

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3rd International Conference on Cyberspace Technology, CCT 2015

作者： Zhang, Hengwei Wang, Jindong Yu, Dingkun Han, Jihong Li, Tao Zhengzhou Institute of Information Science and Technology Zhengzhou 450001 China State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou 450001 China

ISBN: (纸本)9781785610899

Nowadays, the network defense based on incomplete information game model ignored the type of the defender, used simple cost quantitative method, and chosen defense strategies improperly. Aiming at the problem, this paper proposed an active defense strategy selection based on static Bayesian game theory, constructed static Bayesian game model. The model considered the types of the attacker and the defender, and improved the classical strategies taxonomy and cost quantitative method with considering the strike back act of the defender and the success attack rate. Then, this paper calculated and comprehensively analyzed the Bayesian equilibrium of the game. Taking mixed strategies Bayesian equilibrium of attacker as the defender's prediction of attacker's action, this paper calculated the defense effectiveness of defense strategies and performed a defense strategies selection algorithm. At last, an example was provided to analyze and demonstrate the effectiveness of the model and algorithm.

关键词： Network security

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Research on service trust evaluation approach under cloud computing environment 3

Research on service trust evaluation approach under cloud co...

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3rd International Conference on Cyberspace Technology, CCT 2015

作者： Yu, Zhi-Yong Zhang, Heng-Wei Niu, Kan Wang, Jin-Dong Zhengzhou Institute of Information Science and Technology Zhengzhou450001 China State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou450001 China

ISBN: (纸本)9781785610899

In cloud computing, the resources of service are widely distributed, complex and fickle. The trust relationship between service entities is hard to establish and maintain with high uncertainty. The characteristics of randomness and fuzziness of services could not be responded by traditional trust evaluation approach comprehensively, a service trust evaluation method based on weighted multi-attribute cloud was proposed. Time decay factor was introduced to reflect the timeliness of trust-and multi-attribute trust cloud was used to refine the evaluation granularity. In order to prevent conspiracy to defraud and malicious attacks, the reliability and weight of recommender were confirmed by similarity of evaluation. The trust rating could be confirmed by cloud similarity calculation, which could provide security decisions for the user's services selection. Simulation results show that this method can improve the success rate of services interaction obviously, and be applied to service trust evaluation under cloud computing environment.

关键词： Cloud computing

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SGCAM-an comprehensive analysis method for information risk assessment index system 3

SGCAM-an comprehensive analysis method for information risk ...

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3rd International Conference on Cyberspace Technology, CCT 2015

作者： Chen, Yu Wang, Jin-Dong Wang, Kun Li, Tao Zhengzhou Institute of Information Science and Technology Zhengzhou 450001 China State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou 450001 China

ISBN: (纸本)9781785610899

The method based on index system is a typical quantitative method for information security risk assessment. But, because of the complexity of the safety-related factors, during the process ofbuilding its index system, it will inevitably produce some irrelevant and redundant indicators index, thereby resulting in the deviation of the assessment results. To solve this problem, this paper proposes a new analysis method named SGCAM (Sobol and Gray relational clustering Comprehensive Analysis Method) based on Sobol based global sensitivity analysis method and gray relational clustering analysis method. Using this method, we can cut irrelevant indicators, merge redundant indicators, and optimize the index system ultimately.

关键词： Risk assessment

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CSFW-SC: A high-dimensional clustering algorithm based on cuckoo search 3

CSFW-SC: A high-dimensional clustering algorithm based on cu...

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3rd International Conference on Cyberspace Technology, CCT 2015

作者： Wang, Jindong He, Jiajing Zhang, Hengwei Yu, Zhiyong Zhengzhou Institute of Information Science and Technology Zhengzhou 450001 China State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou 450001 China

ISBN: (纸本)9781785610899

With the development of the research in data mining, cluster analysis has been widely used in several areas. Aiming at the issue that traditional clustering methods are not appropriate to high-dimensional data, a cuckoo search fuzzy-weighting algorithm for subspace clustering is proposed on the basis of the existing soft subspace clustering algorithms. In the proposed algorithm, a novel objective function is firstly designed by considering the fuzzy weighting within-cluster compactness and the between-cluster separation, and loosening the constraints of dimension weight matrix. Then gradual membership and improved cuckoo search, a global search strategy, are introduced to optimize the objective function and search subspace clusters, giving novel learning rules for clustering. At last, the performance of the proposed algorithm on the clustering analysis of various low and high dimensional datasets is experimentally compared with that of several competitive subspace clustering algorithms. Experimental studies demonstrate that the proposed algorithm can obtain better performance than most of the existing soft subspace clustering algorithms.

关键词： Clustering algorithms

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Defense strategy selection based on signaling game 3

Defense strategy selection based on signaling game

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3rd International Conference on Cyberspace Technology, CCT 2015

作者： Zhang, Hengwei Wang, Jindong Yu, Dingkun Han, Jihong Wang, Na Zhengzhou Institute of Information Science and Technology Zhengzhou 450001 China State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou 450001 China

ISBN: (纸本)9781785610899

Nowadays, network security defense based on game theory mostly used complete information or static game model. In order to get closer to the actual network and defend actively, we proposed a network attack-defense game model based on signaling game, which was modeled in a dynamic and incomplete way. We improved the attack-defense strategies quantitative method of the completed static game model to meet the needs of the network signaling game model. Moreover, we put forward an active defense strategy selecting algorithm to select optimal defense strategy for different characters of defender. At last, we analyzed and proved the feasibility and validity of the model and method through a network example.

关键词： Game theory

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Fuzzy subspace clustering algorithm based on modified firefly algorithm 3

Fuzzy subspace clustering algorithm based on modified firefl...

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3rd International Conference on Cyberspace Technology, CCT 2015

作者： He, Jia-Jing Zhang, Heng-Wei Wang, Na Niu, Kan Zhengzhou Institute of Information Science and Technology Zhengzhou450001 China State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou450001 China

ISBN: (纸本)9781785610899

Aiming at the clustering problems in selected features and the shortcomings that fuzzy C- means clustering is sensitive to initial value and easy to fall into local optimum, a new fuzzy subspace clustering algorithm based on improved firefly algorithms is proposed. Based on fuzzy C-means clustering algorithm, the algorithm uses a method of calculating feature weighting in reliability-based k-means algorithm, and combines with the global search capability of firefly algorithm to search for all the subspace. An objective function is designed to evaluate the clustering results and feature-dimension included in subspace, and it is used to improve the search formula of firefly algorithm. Experimental results show that the proposed algorithm can effectively converge to the global optimal solution, and has good clustering effect and noise immunity.

关键词： Clustering algorithms

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