2009 IEEE Symposium on Computational Intelligence for Security and Defense Applications最新文献

Evolving spiking neural networks: A novel growth algorithm corrects the teacher 进化的尖峰神经网络:一种新的增长算法纠正了老师

2009 IEEE Symposium on Computational Intelligence for Security and Defense Applications Pub Date : 2015-05-26 DOI: 10.1109/CISDA.2015.7208630

J. Schaffer

{"title":"Evolving spiking neural networks: A novel growth algorithm corrects the teacher","authors":"J. Schaffer","doi":"10.1109/CISDA.2015.7208630","DOIUrl":"https://doi.org/10.1109/CISDA.2015.7208630","url":null,"abstract":"Spiking neural networks (SNNs) have generated considerable excitement because of their computational properties, believed to be superior to conventional von Neumann machines, and sharing properties with living brains. Yet progress building these systems has been limited because we lack a design methodology. We present a gene-driven network growth algorithm that enables a genetic algorithm (evolutionary computation) to generate and test SNNs. The genome length for this algorithm grows O(n) where n is the number of neurons; n is also evolved. The genome not only specifies the network topology, but all its parameters as well. In experiments, the algorithm discovered SNNs that effectively produce a robust spike bursting behavior given tonic inputs, an application suitable for central pattern generators. Even though evolution did not include perturbations of the input spike trains, the evolved networks showed remarkable robustness to such perturbations. On a second task, a sequence detector, several related discriminating designs were found, all made “errors” in that they fired when input spikes were simultaneous (i.e. not strictly in sequence), but not when they were out of sequence. They also fired when the sequence was too close for the teacher to have declared they were in sequence. That is, evolution produced these behaviors even though it was not explicitly rewarded for doing so. We are optimistic that this technology might be scaled up to produce robust SNN designs that humans would be hard pressed to produce.","PeriodicalId":6407,"journal":{"name":"2009 IEEE Symposium on Computational Intelligence for Security and Defense Applications","volume":"4 1","pages":"1-8"},"PeriodicalIF":0.0,"publicationDate":"2015-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90701231","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: 10

Local feature analysis for robust face recognition 鲁棒人脸识别的局部特征分析

2009 IEEE Symposium on Computational Intelligence for Security and Defense Applications Pub Date : 2009-07-08 DOI: 10.1109/CISDA.2009.5356524

E. F. Ersi, John K. Tsotsos

引用次数: 9

BlastSim — Multi agent simulation of suicide bombing 多agent模拟自杀式爆炸

2009 IEEE Symposium on Computational Intelligence for Security and Defense Applications Pub Date : 2009-07-08 DOI: 10.1109/CISDA.2009.5356529

Zeeshan-ul-hassan Usmani, F. Alghamdi, D. Kirk

{"title":"BlastSim — Multi agent simulation of suicide bombing","authors":"Zeeshan-ul-hassan Usmani, F. Alghamdi, D. Kirk","doi":"10.1109/CISDA.2009.5356529","DOIUrl":"https://doi.org/10.1109/CISDA.2009.5356529","url":null,"abstract":"This paper introduces BlastSim — physics based stationary multi-agent simulation of blast waves and its impact on human body. The agents are constrained by physical characteristics and mechanics of blast wave. The simulation is capable of assessing the impact of crowd formation patterns on the magnitude of injury and number of casualties during a suicide bombing attack. It also examines variables such as the number and arrangement of people within a crowd for typical layouts, the number of suicide bombers, and the nature of the explosion including equivalent weight of TNT, and the duration of the resulting blast wave pulse. The paper also explains the physics, explosive models, mathematics and the assumptions we need to create such a simulation. Furthermore, it also describes human shields available in the crowd with partial and full coverage in both two dimensional and three dimensional environments. The goals of this paper are to determine optimal crowd formations to reduce the deaths and/or injuries of individuals in the crowd. The findings, although preliminary, may have implications for forensics investigations, emergency response and counterterrorism.","PeriodicalId":6407,"journal":{"name":"2009 IEEE Symposium on Computational Intelligence for Security and Defense Applications","volume":"19 1","pages":"1-8"},"PeriodicalIF":0.0,"publicationDate":"2009-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76925118","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

Collaborative architecture for distributed intrusion detection system 分布式入侵检测系统的协同架构

2009 IEEE Symposium on Computational Intelligence for Security and Defense Applications Pub Date : 2009-07-08 DOI: 10.1109/CISDA.2009.5356567

Safaa Zaman, F. Karray

{"title":"Collaborative architecture for distributed intrusion detection system","authors":"Safaa Zaman, F. Karray","doi":"10.1109/CISDA.2009.5356567","DOIUrl":"https://doi.org/10.1109/CISDA.2009.5356567","url":null,"abstract":"Due to the rapid growth of network technologies and substantial improvement in attack tools and techniques, a distributed Intrusion Detection System (dIDS) is required to allocate multiple IDSs across a network to monitor security events and to collect data. However, dIDS architectures suffer from many limitations such as the lack of a central analyzer and a heavy network load. In this paper, we propose a new architecture for dIDS, called a Collaborative architecture for dIDS (C-dIDS), to overcome these limitations. The C-dIDS contains one-level hierarchy dIDS with a non-central analyzer. To make the detection decision for a specific IDS module in the system, this IDS module needs to collaborate with the IDS in the lower level of the hierarchy. Cooperating with lower level IDS module improves the system accuracy with less network load (just one bit of information). Moreover, by using one hierarchy level, there is no central management and processing of data so there is no chance for a single point of failure. We have examined the feasibility of our dIDS architecture by conducting several experiments using the DARPA dataset. The experimental results indicate that the proposed architecture can deliver satisfactory system performance with less network load.","PeriodicalId":6407,"journal":{"name":"2009 IEEE Symposium on Computational Intelligence for Security and Defense Applications","volume":"26 1","pages":"1-7"},"PeriodicalIF":0.0,"publicationDate":"2009-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78155713","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: 16

Robust line extraction based on repeated segment directions on image contours 基于图像轮廓上重复分段方向的鲁棒直线提取

2009 IEEE Symposium on Computational Intelligence for Security and Defense Applications Pub Date : 2009-07-08 DOI: 10.1109/CISDA.2009.5356556

Andrés Solís Montero, A. Nayak, M. Stojmenovic, N. Zaguia

{"title":"Robust line extraction based on repeated segment directions on image contours","authors":"Andrés Solís Montero, A. Nayak, M. Stojmenovic, N. Zaguia","doi":"10.1109/CISDA.2009.5356556","DOIUrl":"https://doi.org/10.1109/CISDA.2009.5356556","url":null,"abstract":"This paper describes a new line segment detection and extraction algorithm for computer vision, image segmentation, and shape recognition applications. This is an important pre processing step in detecting, recognizing and classifying military hardware in images. This algorithm uses a compilation of different image processing steps such as normalization, Gaussian smooth, thresholding, and Laplace edge detection to extract edge contours from colour input images. Contours of each connected component are divided into short segments, which are classified by their orientation into nine discrete categories. Straight lines are recognized as the minimal number of such consecutive short segments with the same direction. This solution gives us a surprisingly more accurate, faster and simpler answer with fewer parameters than the widely used Hough Transform algorithm for detecting lines segments among any orientation and location inside images. Its easy implementation, simplicity, speed, the ability to divide an edge into straight line segments using the actual morphology of objects, inclusion of endpoint information, and the use of the OpenCV library are key features and advantages of this solution procedure. The algorithm was tested on several simple shape images as well as real pictures giving more accuracy than the actual procedures based in Hough Transform. This line detection algorithm is robust to image transformations such as rotation, scaling and translation, and to the selection of parameter values.","PeriodicalId":6407,"journal":{"name":"2009 IEEE Symposium on Computational Intelligence for Security and Defense Applications","volume":"135 1","pages":"1-7"},"PeriodicalIF":0.0,"publicationDate":"2009-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80182994","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: 16

Integrating reasoning with personality effects in simulated operators 模拟操作者推理与人格效应的整合

2009 IEEE Symposium on Computational Intelligence for Security and Defense Applications Pub Date : 2009-07-08 DOI: 10.1109/CISDA.2009.5356538

R. Guo, B. Cain

引用次数: 1

Analysis of the 1999 DARPA/Lincoln Laboratory IDS evaluation data with NetADHICT 基于NetADHICT的1999年DARPA/Lincoln实验室IDS评估数据分析

2009 IEEE Symposium on Computational Intelligence for Security and Defense Applications Pub Date : 2009-07-08 DOI: 10.1109/CISDA.2009.5356522

Carson D. Brown, Alex Cowperthwaite, Abdulrahman Hijazi, Anil Somayaji

引用次数: 65

Goal-driven semi-automated generation of semantic models 目标驱动的半自动化语义模型生成

2009 IEEE Symposium on Computational Intelligence for Security and Defense Applications Pub Date : 2009-07-08 DOI: 10.1109/CISDA.2009.5356518

A. Stirtzinger, C. Anken, B. McQueary

引用次数: 2

Localization of door handle using a single camera on a door opening mobile manipulator 在开门移动机械手上使用单摄像头定位门把手

2009 IEEE Symposium on Computational Intelligence for Security and Defense Applications Pub Date : 2009-07-08 DOI: 10.1109/CISDA.2009.5356543

Dmitri Ignakov, G. Okouneva, Guangjun Liu

引用次数: 0

Simulation analysis on destabilization of complex adaptive organizations 复杂自适应组织不稳定性仿真分析

2009 IEEE Symposium on Computational Intelligence for Security and Defense Applications Pub Date : 2009-07-08 DOI: 10.1109/CISDA.2009.5356520

Il-Chul Moon

引用次数: 0