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作者： Qiao, Kexin Hu, Lei Sun, Siwei Ma, Xiaoshuang Kan, Haibin State Key Laboratory of Information Security Institute of Information Engineering Chinese Academy of Sciences Beijing100093 China Data Assurance and Communication Security Research Center Chinese Academy of Sciences Beijing100093 China University of Chinese Academy of Sciences Beijing100049 China Shanghai Key Lab of Intelligent Information Processing School of Computer Science Fudan University Shanghai200433 China

Counting the number of differentially active S-boxes is of great importance in evaluating the security of a block cipher against differential attack. Mouha et al. proposed a technique based on Mixed-Integer Linear Programming (MILP) to automatically calculate a lower bound of the number of differentially active S-boxes for word-oriented block ciphers, and applied it to symmetric ciphers AES and Enocoro-128v2. Later Sun et al. extended the method by introducing bit-level representations for Sboxes and new constraints in the MILP problem, and applied the extended method to PRESENT-80 and LBlock. This kind of methods greatly depends on the constraints in the MILP problem describing the differential propagation of the block cipher. A more accurate description of the differential propagation leads to a tighter bound on the number of differentially active S-boxes. In this paper, we refine the constraints in the MILP problem describing XOR operations, and apply the refined MILP modeling to determine a lower bound of the number of active S-boxes for the Lai-Massey type block cipher FOX in the model of single-key differential attack, and obtain a tighter bound in FOX64 than existing results. Experimental results show that 6, instead of currently known 8, rounds of FOX64 is strong enough to resist against basic single-key differential attack since the differential characteristic probability is upper bounded by 2-64, and thus the maximum differential characteristic probability of 12-round FOX64 is upper bounded by 2-128, where 128 is the key-length of FOX64. We also get the lower bound of the number of differentially active S-boxes for 5-round FOX128, and proved the security of the full-round FOX128 with respect to single-key differential attack. Copyright © 2015 The Institute of Electronics, Information and Communication Engineers.

关键词： Integer programming

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An Economic Dispatch Model Based on Scenario Tree in Industrial Micro-grid with Wind Power

An Economic Dispatch Model Based on Scenario Tree in Industr...

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第27届中国控制与决策会议

作者： Hao Ding Feng Gao Kun Liu Xiaohong Guan State Key Laboratory for Manufacturing System Engineering Xi'an Jiaotong University Ministry of Education Key Lab for Intelligent Networks and Networks Security Xi'an Jiaotong University

ISBN: (纸本)9781479970186

Wind power is a kind of clean and renewable energy,and it is of great benefit to utilize it in an industrial *** paper establishes an economic dispatch model of industrial micro-grid with wind power that aims at minimizing energy costs based on scenario *** uncertainty of wind power and load are managed by adjusting the production schedule and unit generation schedule properly.A numerical test is taken with data of an industrial micro-grid in the paper,and the result indicates that the fluctuation of wind power and load can be mitigated by production and power generation schedule effectively and utilizing wind power can help decrease the energy costs *** model is also compared with the deterministic model,and some conclusions are obtained.

关键词： industrial micro-grid wind power economic dispatch scenario tree

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Matching a desirable generation pattern for large-scale wind farm with autonomous energy storage control strategy

Matching a desirable generation pattern for large-scale wind...

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IEEE General Meeting Power& Energy Society

作者： Jiaojiao Dong Feng Gao Xiaohong Guan Qiaozhu Zhai Jiang Wu State Key Laboratory for Manufacturing System Engineering Xi'an Jiaotong University Xi'an China Ministry of Education Key Lab for Intelligent Networks and Networks Security Xi'an Jiaotong University Xi'an China

ISBN: (纸本)9781467380416

The major obstacle toward wind farm integration is power mismatch between wind output and grid desirable generation due to wind uncertainty and negative effect on peak load regulation. Storage can be used as assistance to reduce this mismatch. Needed storage capacity for full level of assistance is acceptable only for small-scale wind farm with qualified matching requirement. But when it comes to large-scale one, capacity is huge and unacceptable. In this paper, a matching desirable generation (MDG) pattern with autonomous storage control strategy is proposed to quantify the level of storage assistance. The minimum storage capacity to achieve a qualified matching requirement, i.e. needed capacity merely to reduce uncertainty and no peak load regulation, is presented. Mathematical model of wind-storage sizing problem is established to seek a trade-off between electricity profit and storage investment with matching probability constrain. Markovian steady-state sizing method is proposed to reduce computational burden. Numerical tests show that matching probability can achieve 96% with almost no benefit reduction when assisted storage capacity is only about 25% of average wind power, and proposed sizing method is fast and accurate due to the ability of handling large dataset.

关键词： Wind power generation Steady-state Pattern matching Energy storage Uncertainty Wind farms

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Remotely wiping sensitive data on stolen smartphones 14

Remotely wiping sensitive data on stolen smartphones

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9th ACM Symposium on Information, Computer and Communications security, ASIA CCS 2014

作者： Yu, Xingjie Wang, Zhan Sun, Kun Zhu, Wen Tao Gao, Neng Jing, Jiwu State Key Laboratory of Information Security Institute of Information Engineering Chinese Academy of Sciences China Data Assurance and Communication Security Research Center Chinese Academy of Sciences China University of Chinese Academy of Sciences China Center for Secure Information System George Mason University United States

ISBN: (纸本)9781450328005

Smartphones are playing an increasingly important role in personal life and carrying massive private data. Unfortunately, once the smartphones are stolen, all the sensitive information, such as contacts, messages, photos, credit card information and passwords, may fall into the hands of malicious people. In order to protect the private data, remote deletion mechanism is required to allow owners to wipe the sensitive data on the stolen phone remotely. Existing remote deletion techniques rely on the availability of either WiFi for Internet connection or SIM card for cellular network connection;however, these requirements may not be satisfied when the phones are stolen by some sophisticated adversaries. In this paper, we propose a new remote deletion mechanism that allows the phone owner to delete the private data remotely even if the WiFi is disabled and the SIM card is unplugged. The basic idea is to use emergency call mechanisms to establish a communication connection with a service provider to verify the state of the phone and perform remote deletion. We present a case study of our mechanism with the Universal Mobile Telecommunications system (UMTS) network. Copyright 2014 ACM.

关键词： Smartphones

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Self-balancing robust scheduling model for demand response considering electricity load uncertainty in enterprise microgrid

Self-balancing robust scheduling model for demand response c...

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IEEE General Meeting Power& Energy Society

作者： Kun Liu Feng Gao Zhaojie Wang Xiaohong Guan Qiaozhu Zhai Jiang Wu State Key Laboratory for Manufacturing System Engineering Xi'an Jiaotong University Xi’ an China Ministry of Education Key Lab for Intelligent Networks and Networks Security Xian Jiaotong University Xi’ an China

In enterprise microgrid such as steel plants, the self-generating output is not equal to the electricity load because of the electricity load uncertainty and the self-generation power plant's limits. In order to decrease the unbalance punishment cost caused by the non-equality, electricity self-balancing multi-levels model in which load uncertainty is described by a certain interval and the objective is to minimize the unbalance punishment cost and load shifting cost at the worst case is built based on the robust optimization in this paper. The multi-levels model is equivalently transformed to single level model using a set of constraints instead of the lower problem to improve the efficiency of solution. Finally, the paper tests an enterprise microgrid and the results show that proposed approach can decrease the total cost and the unbalance obviously.

关键词： Electricity Load modeling Robustness Generators Uncertainty Power systems Optimization

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Wind power accommodation robust model considering demand response in enterprise microgird

Wind power accommodation robust model considering demand res...

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World Congress on intelligent Control and Automation (WCICA)

作者： Kun Liu Feng Gao Hao Ding Xiaohong Guan Dai Wang State Key Laboratory for Manufacturing System Engineering Xi'an Jiaotong University Xi'an Shanxi Province China Ministry of Education Key Lab for Intelligent Networks and Networks Security Xi'an Jiaotong University Xi'an Shanxi Province China

With the development of wind power, how to use wind power fully has become an important research. In this paper, wind power accommodation robust model with security constraints considering demand response is built to accommodate wind power as much as possible. The robust model is a two-level optimal model: the upper level is to minimize the curtailed wind power and the lower level is to re-schedule the generator output to minimize the changed power between enterprise and the local grid for guaranteeing the grid safety. In order to solve the two-level model, it is equivalently transformed to single-level model. Finally, simulations are performed and the results show that such proposed approach can accommodate the uncertainty of wind power and electricity load and demand response can help to raise the utilization ratio of the wind power obviously.

关键词： Wind power generation Electricity Robustness Load management Generators security Load modeling

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Self-power generation scheduling model under uncertainty in Energy Intensive Enterprises

Self-power generation scheduling model under uncertainty in ...

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Chinese Control Conference (CCC)

作者： Liu Kun Feng Gao Zhaojie Wang Haifeng Zhang Xiaohong Guan Qiaozhu Zhai Jiang Wu State Key Laboratory for Manufacturing System Engineering Xi'an Jiaotong University Xian China State Key Laboratory for Manufacturing System Engineering Xi'an Jiaotong University 710049 China Ministry of Education Key Lab For Intelligent Networks and Networks Security Xi'an 710049 China

Scheduling of the self-generation plants is very helpful to both the energy saving and emission reduction for Energy Intensive Enterprises. Uncertainty exists, so how to reduce the cost considering the uncertainty is an important problem to be studied. In this paper, the objective function is to minimize the overall cost of electricity and gas, and two different models are presented: the deterministic model and the stochastic model. Uncertainties of electricity load and gas supply are captured and analyzed by the scenario tree method. Numerical experiments are performed under a system with four units. Results show that during off-peak periods, most of the enterprises load is afforded by the grid; and that during peak periods, most of load is afforded by the self-generation plants. In addition, the results also indicate that the cost is highly dependent on forecast errors. The more accurate prediction is, the less cost the enterprises need to pay.

关键词： Uncertainty Electronic mail Monte Carlo methods Optimal scheduling Load modeling Numerical models Coal

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Self-power generation scheduling model under uncertainty in Energy Intensive Enterprises

Self-power generation scheduling model under uncertainty in ...

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32nd Chinese Control Conference, CCC 2013

作者： Kun, Liu Gao, Feng Wang, Zhaojie Zhang, Haifeng Guan, Xiaohong Zhai, Qiaozhu Wu, Jiang State Key Laboratory for Manufacturing System Engineering Xi'An Jiaotong University Xi'an 710049 China Ministry of Education Key Lab for Intelligent Networks and Networks Security Xi'an 710049 China

ISBN: (纸本)9789881563835

Scheduling of the self-generation plants is very helpful to both the energy saving and emission reduction for Energy Intensive Enterprises. Uncertainty exists, so how to reduce the cost considering the uncertainty is an important problem to be studied. In this paper, the objective function is to minimize the overall cost of electricity and gas, and two different models are presented: The deterministic model and the stochastic model. Uncertainties of electricity load and gas supply are captured and analyzed by the scenario tree method. Numerical experiments are performed under a system with four units. Results show that during off-peak periods, most of the enterprises load is afforded by the grid;and that during peak periods, most of load is afforded by the self-generation plants. In addition, the results also indicate that the cost is highly dependent on forecast errors. The more accurate prediction is, the less cost the enterprises need to pay. © 2013 TCCT, CAA.

关键词： Costs

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TriggerCas: Enabling wireless consrucive collisions

TriggerCas: Enabling wireless consrucive collisions

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IEEE Annual Joint Conference: INFOCOM, IEEE Computer and Communications Societies

作者： Yin Wang Yuan He Dapeng Cheng Yunhao Liu Xiang-yang Li MOE Key Laboratory for Information System Security School of Software TNLIST Tsinghua University China Department of Computer Science and Engineering Hong Kong University of Science and Technology Hong Kong China Key Laboratory of Intelligent Information Processing Universities of Shandong China Department of Computer Science Illinois Institute of Technology USA

Constructive Interference (CI) proposed in the existing work (e.g., A-MAC [1], Glossy [2]) may degrade the packet reception performance in terms of Packet Reception Ratio (PRR) and Received Signal Strength Indication (RSSI). The packet reception performance of a set of nodes transmitting simultaneously might be no better than that of any single node transmitting individually. In this paper, we redefine CI and propose TriggerCast, a practical wireless architecture which ensures concurrent transmissions of an identical packet to interfere constructively rather than to interfere non-destructively. CI potentially allows orders of magnitude reductions in energy consumption and improvements in link quality. Moreover, we for the first time present a theoretical sufficient condition for generating CI with IEEE 802.15.4 radio: concurrent transmissions with an identical packet should be synchronized at chip level. Meanwhile, co-senders participating in concurrent transmissions should be carefully selected, and the starting instants for the concurrent transmissions should be aligned. Based on the sufficient condition, we propose practical techniques to effectively compensate propagation and radio processing delays. TriggerCast has 95 th percentile synchronization errors of at most 250ns. Extensive experiments in practical testbeds reveal that TriggerCast significantly improves PRR (from 5% to 70% with 7 concurrent senders, from 50% to 98.3% with 6 senders) and RSSI (about 6dB with 5 senders).

关键词： Delays Synchronization Signal to noise ratio Receivers Wireless sensor networks IEEE 802.15 Standards

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Binary particle swarm optimization with multiple evolutionary strategies

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Science China(Information Sciences) 2012年第11期55卷 2485-2494页

作者： ZHAO Jing1,HAN ChongZhao1 & WEI Bin2 1Ministry of Education key Lab For intelligent Networks and Network security,State key laboratory for Manufacturing systems Engineering,Institute of Integrated Automation,School of Electronics and Information Engineering,Xi'an Jiaotong University,Xi'an 710049,China 2Institute of system Engineering,School of Electronics and Information Engineering,Xi'an Jiaotong University,Xi'an 710049,China 1. Ministry of Education Key Lab For Intelligent Networks and Network Security State Key Laboratory for Manufacturing Systems Engineering Institute of Integrated Automation School of Electronics and Information Engineering Xi’an Jiaotong University Xi’an 710049 China2. Institute of System Engineering School of Electronics and Information Engineering Xi’an Jiaotong University Xi’an 710049 China

This paper introduces a novel variation of binary particle swarm optimization(BPSO) algorithm and a further extension to improve its ***,mimicking the behaviors of some creatures group,multiple evolutionary strategies BPSO(MBPSO) is introduced which takes different evolutionary strategies for various particles according to their ***,on the basis of MBPSO,a new strategy is discussed to improve the performance of the MBPSO(M2BPSO) which adopts the concept of the mutation operator aiming to overcome the premature convergence and slow convergent speed during the later stages of the *** proposed two algorithms are tested on seven benchmark functions and their results are compared with those obtained by other *** results show that our methods outperform the other algorithms.

关键词： binary particle swarm optimizer evolutionary strategies swarm intelligence

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