2017 13th International Conference on Computational Intelligence and Security (CIS)最新文献_第5页

A Vision-Based GPS-Spoofing Detection Method for Small UAVs 基于视觉的小型无人机gps欺骗检测方法

2017 13th International Conference on Computational Intelligence and Security (CIS) Pub Date : 2017-12-01 DOI: 10.1109/CIS.2017.00074

Y. Qiao, Yuxing Zhang, Xiao Du

引用次数: 43

Optimal Allocation of Water Resources Based on Central Force Optimization 基于中心力优化的水资源优化配置

2017 13th International Conference on Computational Intelligence and Security (CIS) Pub Date : 2017-12-01 DOI: 10.1109/CIS.2017.00143

Jie Liu, Fei Liang

引用次数: 0

An Approach to Verifying Data Integrity for Cloud Storage 一种云存储数据完整性验证方法

2017 13th International Conference on Computational Intelligence and Security (CIS) Pub Date : 2017-12-01 DOI: 10.1109/CIS.2017.00135

Yindong Chen, Liping Li, Ziran Chen

引用次数: 22

XGBoost-Based Android Malware Detection 基于xgboost的Android恶意软件检测

2017 13th International Conference on Computational Intelligence and Security (CIS) Pub Date : 2017-12-01 DOI: 10.1109/CIS.2017.00065

Jiong Wang, Boquan Li, Yuwei Zeng

引用次数: 10

Gravitational Search Algorithm with a New Technique 一种新的引力搜索算法

2017 13th International Conference on Computational Intelligence and Security (CIS) Pub Date : 2017-12-01 DOI: 10.1109/CIS.2017.00120

Juan Li, Ning Dong

引用次数: 2

Efficient and Constant Time Modular Inversions Over Prime Fields 素域上的高效常时间模反演

2017 13th International Conference on Computational Intelligence and Security (CIS) Pub Date : 2017-12-01 DOI: 10.1109/CIS.2017.00122

Sen Xu, Haihua Gu, Lingyun Wang, Zheng Guo, Junrong Liu, Xiangjun Lu, Dawu Gu

{"title":"Efficient and Constant Time Modular Inversions Over Prime Fields","authors":"Sen Xu, Haihua Gu, Lingyun Wang, Zheng Guo, Junrong Liu, Xiangjun Lu, Dawu Gu","doi":"10.1109/CIS.2017.00122","DOIUrl":"https://doi.org/10.1109/CIS.2017.00122","url":null,"abstract":"As an important operation, modular inversion is crucial for high-performance public key cryptosystems (PKC), especially in Elliptic curve-based schemes over prime fields. Both security and efficiency must be considered in a specific implementation. Straightforward implementation leaks side channel information which can be used for breaking Elliptic curve signature algorithm (ECDSA) through a combination attack. Modular inversion is also the most time-consuming operation which has important impact on the performance. Therefore, efficient and constant time modular inversion is an optimal option to ensure both security and efficiency. In this paper, we describe a general principle on how to construct efficient constant time modular inversion based on Fermat's little theorem (FLT) over prime fields. We give the tight upper bounder of multiplications needed in our schemes. Improvements are obtained from both algorithm architecture and Montgomery trick. We extended our scheme to NIST and Chinese Elliptic curve standard, which can save 90% multiplications. The total improvement is a factor of 2 by comparing the straightforward implementation.","PeriodicalId":304958,"journal":{"name":"2017 13th International Conference on Computational Intelligence and Security (CIS)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130444354","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Multi-focus Image Performance Evaluation Method Based on the Extraction and Combination of Multiple Metrics 基于多指标提取与组合的多焦点图像性能评价方法

2017 13th International Conference on Computational Intelligence and Security (CIS) Pub Date : 2017-12-01 DOI: 10.1109/CIS.2017.00036

Weitong Li, Yu Cheng, Yuehui Sun, Shaoqiu Xu

{"title":"Multi-focus Image Performance Evaluation Method Based on the Extraction and Combination of Multiple Metrics","authors":"Weitong Li, Yu Cheng, Yuehui Sun, Shaoqiu Xu","doi":"10.1109/CIS.2017.00036","DOIUrl":"https://doi.org/10.1109/CIS.2017.00036","url":null,"abstract":"In multi-focus image fusion, some objective metrics were proposed to evaluate the fused images and compare the corresponding fusion algorithms further. For an image, some metrics can acquire satisfied results, while others can't give credible conclusions. Single objective metric can't assess an image correctly and comprehensively, so multiple metrics may be combined to evaluate the fused images. In this paper, a method named multiple metrics extraction and combination is studied. First, a total set with some popularly cited and representative metrics is formed. Second, for each group of images, the appropriate metrics are extracted from the total set to construct an evaluation set. Therefore two sets of images may have diverse evaluation sets. Third, for each image of the same group, the extracted metrics are combined into three scalars with three measurement methods respectively. Finally, the consistency of measurement results is verified with the scalars. The simulations show that our method outperforms single metric and provides a new way to the research of performance evaluation.","PeriodicalId":304958,"journal":{"name":"2017 13th International Conference on Computational Intelligence and Security (CIS)","volume":"312 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116537861","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

A Method for Heterogeneity Analysis of Complex Diseases Based on Clustering Algorithm 基于聚类算法的复杂疾病异质性分析方法

2017 13th International Conference on Computational Intelligence and Security (CIS) Pub Date : 2017-12-01 DOI: 10.1109/CIS.2017.00041

Xiong Li, Che Wang, Liyue Liu, Xuewen Xia

引用次数: 1

Dynamics of a Stochastic SIS Epidemic Model with Birth Pulses and Pulse Treatments 具有出生脉冲和脉冲处理的随机SIS流行病模型动力学

2017 13th International Conference on Computational Intelligence and Security (CIS) Pub Date : 2017-12-01 DOI: 10.1109/CIS.2017.00101

Guoqiang Deng, Aimin Tang, Miaomiao Xing, Lin Ling, Guirong Jiang, Wentao Huang

引用次数: 0

A Multi-objective Framework for Location Recommendation Based on User Preference 基于用户偏好的多目标位置推荐框架

2017 13th International Conference on Computational Intelligence and Security (CIS) Pub Date : 2017-12-01 DOI: 10.1109/CIS.2017.00017

Shanfeng Wang, Maoguo Gong, Can Qin, Junwei Yang

引用次数: 6