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检索条件"任意字段=IEEE Symposium on Computational Intelligence in Security and Defense Applications"

共 436 条记录，以下是41-50 订阅

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mTRACK-Monitoring time-varying relations in approximately categorised knowledge

mTRACK-Monitoring time-varying relations in approximately ca...

引用

ieee symposium on computational intelligence for security and defense applications, CISDA 2009

作者： Martin, Trevor Shen, Yun Artificial Intelligence Group University of Bristol BS8 1TR United Kingdom

ISBN: (纸本)9781424437641

Recent initiatives in defence related information systems have emphasised the need to bring together information from multiple sources and fuse it into a form suitable for decision makers. This paper outlines a four stage system for fusing unstructured and semi-structured text and numerical data by extraction of entities and relations, identification of duplicate entities, organisation into the most appropriate hierarchical categories and determination of relations between fuzzy categories. The novel contribution of this paper is in the final stage of the process, where we determine associations between fuzzy categories and identify strong and/or unusual levels of association as well as changes over time. A demonstrator application shows how information on terrorist incidents from multiple sources can be integrated and monitored. © 2009 ieee.

关键词： Decision making

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Examination of the vulnerable levels of user groups based on an IT security model 15

Examination of the vulnerable levels of user groups based on...

引用

15th ieee International symposium on computational intelligence and Informatics

作者： Ujbanyi, Tibor Katona, Jozsef Kovari, Attila Coll Dunaujvaros Inst Comp Engn Dunaujvaros Hungary

ISBN: (纸本)9781479953370

IT security has high priority in a complex, multi user IT system. security systems and safety measurement are needed to protect data and systems. The maximum protect level is determined by defense against external attacks and connections of users and user groups who access the system. In the article, we examine these user connections, data links and define optimal dispersion of these based on IT security.

关键词： data protection security of data IT security model data links external attacks maximum protect level multiuser IT system security systems system protection user connection user group vulnerable level examination Computers Data structures Educational institutions Information systems Organizations Permission Data security computer information security Data links Accidents,emergencies and safety permission User groups Educational institutions Data structures Computer based information systems Information technology security Computers

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Behavior-Driven Video Analytics System for Critical Infrastructure Protection 7

Behavior-Driven Video Analytics System for Critical Infrastr...

引用

7th ieee symposium on computational intelligence for security and defense applications (ieee-CISDA)

作者： Curtis, Phillip Harb, Moufid Abielmona, Rami Petriu, Emil Larus Technol Res & Engn Div Ottawa ON Canada Univ Ottawa Sch Elect Engn & Comp Sci Ottawa ON Canada

ISBN: (纸本)9781479954315

The convergence of a security aware environment with the proliferation of inexpensive high quality video imaging devices has led to the deployment of cameras at a high number of critical infrastructure sites. As many cameras are needed to keep all key access points under continuous observation, an operator of the surveillance system may become distracted from the many video feeds, possibly missing key events, such as suspicious individuals leaving an object behind or approaching a door. By providing an automated system for monitoring these types of events within a video feed, some of the burden placed on the operator is alleviated, thereby increasing the overall reliability and performance of the monitoring system, as well as providing archival capability for future investigations. In this paper, we propose a solution that uses a background subtraction based segmentation method to determine objects within the scene. An artificial neural network classifier is then employed to determine the class of each object detected in each frame, which is then temporally filtered using Bayesian inference to minimize the effect of occasional misclassifications. The behavior of the object is then determined based on its classification and spatio-temporal properties, and if the object is considered of interest, feedback is provided to the background subtraction segmentation technique for background fading prevention reasons.

关键词： computer vision neural networks Bayesian inference classification computational intelligence background subtraction segmentation behavior analysis critical infrastructure protection territorial security video analytics

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Rapid prototyping of high performance fuzzy computing applications using high level GPU programming for maritime operations support

Rapid prototyping of high performance fuzzy computing applic...

引用

symposium Series on computational intelligence, ieee SSCI 2011 - 2011 ieee symposium on computational intelligence for security and defense applications, CISDA 2011

作者： Cococcioni, Marco Grasso, Raffaele Rixen, Michel Viale San Bartolomeo 400 19126 La Spezia Italy

ISBN: (纸本)9781424499410

The advent of relatively cheap general purpose graphics processing units (GPUs) is having a huge impact on scientific computing. This is opening the door to high performance fuzzy computing (HPFC) to the masses, due to the low cost and the possibility to have GPUs on desktop computers at home. Furthermore, even mobile HPFC seems imminent, provided that your laptop is equipped with a general purpose GPU. Very recently another innovation has occurred: the availability of libraries for high level GPU programming. By using them, the programmer avoids the necessity of having detailed knowledge of the GPU's hardware architecture. The availability of such facility on Matlab (today among the most used rapid prototyping software) is also opening the door to the rapid prototyping of high performance applications, in general, and to the rapid prototyping of HPFC, in particular. In this work we show how to speed up an existing Matlab software prototype (which computes spatial maps for supporting decision making during maritime operations) with little effort. By delegating the GPU Matlab library to take care of low level optimizations, we not only save time, but also build rapidly prototyped software that is portable over different GPU hardware types. © 2011 ieee.

关键词： Graphics processing unit

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Game AI in Delta3D

Game AI in Delta3D

引用

ieee symposium on computational intelligence and Games

作者： Darken, Christian J. Anderegg, Bradley G. McDowell, Perry L. Naval Postgrad Sch CS Dept MOVES Inst Monterey CA USA Alion Sci & Technol Corp Mclean VA USA

ISBN: (纸本)9781424407095

Delta3D is a GNU-licensed open source game engine with an orientation towards supporting "serious games" such as those with defense and homeland security applications. AT is an important issue for serious games, since there is more pressure to "get the AT right", as opposed to providing an entertaining user experience. We describe several of our near and longer-term AT projects oriented towards making it easier to build AI-enhanced applications in Delta3D.

关键词： artificial intelligence game engines

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Smoothing Gamma Ray Spectra to Improve Outlier Detection 7

Smoothing Gamma Ray Spectra to Improve Outlier Detection

引用

7th ieee symposium on computational intelligence for security and defense applications (ieee-CISDA)

作者： Barnabe-Lortie, Vincent Bellinger, Colin Japkowicz, Nathalie Univ Ottawa Sch Elect Engn & Comp Sci Ottawa ON K1N 6N5 Canada

ISBN: (纸本)9781479954315

Rapid detection of radioisotopes in gamma-ray data can, in some situations, be an important security concern. The task of designing an automated system for this purpose is complex due to, amongst other factors, the noisy nature of the data. The method described herein consists of preprocessing the data by applying a smoothing method tailored to gamma ray spectra, hoping that this should decrease their variance. Given that the number of counts at a given energy level in a spectrum should follow a Poisson distribution, smoothing may allow us to estimate the true photon arrival rate. Our experiments suggest that the added data preprocessing step can have large impact on the performance of anomaly detection algorithms on this particular domain.

关键词： Poisson distribution gamma-ray spectra national security radioisotopes smoothing methods anomaly detection algorithms data preprocessing step gamma ray spectra outlier detection radiation level monitoring radioisotope detection security concerns smoothing method Gamma-rays Noise measurement Smoothing methods Splines (mathematics) Support vector machines Testing Training gamma-ray spectra smoothing methods Poisson distribution Radioisotopes Gamma Rays Noise measurement National security Support Vector Network Detection algorithms Functional training

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On the Use of Design Diversity in Fault Tolerant and Secure Systems: A Qualitative Analysis

On the Use of Design Diversity in Fault Tolerant and Secure ...

引用

ieee symposium on computational intelligence for security and defense applications (CISDA)

作者： Rodriguez, Manuel Kwiat, Kevin A. Kamhoua, Charles A. Air Force Res Lab Cyber Assurance Branch Informat Directorate Rome NY 13441 USA

ISBN: (纸本)9781467375573

The design and development of modern critical systems, including cyber-physical systems, is experiencing a greater reliance on the outsourcing of systems parts and the use of third -party components and tools. These issues pose new risks and threats that affect dependability in general, and security in particular. Not only the chances are higher for system designs to be faulty, yet they can be maliciously altered. In addition, the extension of monocultures, comprising networks of interconnected systems featuring similar platforms and computing resources, facilitates the spreading and gravity of attacks. Even correctly designed systems can have side behaviors leading to vulnerabilities that are exploitable by attackers. Design diversity, although proposed and used for long time, can help palliate these emerging challenges. This paper explores and analyzes design diversity from a qualitative perspective, with respect to its fault tolerance and performance properties. The paper describes core concepts of design diversity such as non -diversity and diversity points, and provides quality measurements that help gaining a better understanding of how design diversity can impact the development of fault tolerant and secure systems.

关键词： design diversity fault tolerance performance dependability security

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A Spiking Neural Network Based Auto-encoder for Anomaly Detection in Streaming Data

A Spiking Neural Network Based Auto-encoder for Anomaly Dete...

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ieee symposium Series on computational intelligence (ieee SSCI)

作者： Stratton, Peter Wabnitz, Andrew Hamilton, Tara Julia Univ Technol Sch Elect & Data Eng Sydney NSW 2007 Australia Def Sci & Technol Grp Cyber & Elect Warfare Div Edinburgh SA 5111 Australia

ISBN: (纸本)9781728125473

Anomaly Detection (AD) is useful for a range of applications including cyber security, health analytics, robotics, defense and big data. Automating the detection of anomalies is necessary to deal with large volumes of data and to satisfy real time processing constraints. Current Machine Learning (ML) methods have had some success in the automated detection of anomalies, but no ideal ML solutions have been found for any domain. Spiking Neural Networks (SNNs), an emerging ML technique, have the potential to do AD well, especially for Edge applications where it needs to be low power, readily adaptable, autonomous and reliable. Here we investigate SNNs doing anomaly detection on streams of text. We show that SNNs are well suited for detecting anomalous character sequences, that they can learn rapidly, and that there are many optimizations to the SNN architecture and training that can improve AD performance.

关键词： anomaly detection spiking neural networks edge applications cyber security

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Passive multitarget tracking using transmitters of opportunity

Passive multitarget tracking using transmitters of opportuni...

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ieee symposium on computational intelligence for security and defense applications, CISDA 2009

作者： Tharmarasa, Ratnasingham Kirubarajan, Thia McDonald, Mike Department of Electrical Engineering McMaster University Hamilton Canada Defense Research and Development Canada Ottawa Canada

ISBN: (纸本)9781424437641

Passive Coherent Location (PCL), which uses commercial signals (e.g., FM broadcast, digital TV) as illuminators of opportunity, is an emerging technology in air defense systems. The advantages of PCL are low cost, low vulnerability to electronic counter measures, early detection of stealthy targets and low-altitude detection. However, limitations of PCL include lack of control over illuminators, limited observability and poor detection due to low Signal-to-Noise Ratio (SNR). This leads to high clutter with low probability of detection of target of interest. In this paper, multiple target tracking algorithms for PCL systems are analyzed to handle low probability of detection and high nonlinearity in the measurement model due to high measurement error. The converted measurement Kalman filter, unscented Kalman filter and particle filter based PHD filter are implemented and compared for PCL radar systems. The feasibility of using transmitters of opportunity for tracking airborne targets is shown on simulated and real data sets. © 2009 ieee.

关键词： Transmitters

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Applicability issues of Evasion-Based Adversarial Attacks and Mitigation Techniques

Applicability issues of Evasion-Based Adversarial Attacks an...

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ieee symposium Series on computational intelligence (ieee SSCI)

作者： Gupta, Kishor Datta Dasgupta, Dipankar Akhtar, Zahid Univ Memphis Comp Sci Dept Memphis TN 38152 USA State Univ New York Polytech Inst Comp Sci Dept New York NY USA

ISBN: (纸本)9781728125473

Adversarial attacks are considered security risks for Artificial intelligence-based systems. Researchers have been studying different defense techniques appropriate for adversarial attacks. Evaluation strategies of these attacks and corresponding defenses are primarily conducted on trivial benchmark analysis. We have observed that most of these analyses have practical limitations for both attacks and for defense methods. In this work, we analyzed the adversarial attacks based on how these are performed in real-world problems and what steps can be taken to mitigate their effects. We also studied practicability issues of well-established defense techniques against adversarial attacks and proposed some guidelines for better and effective solutions. We demonstrated that the adversarial attacks detection rate and destruction rate co-related inversely, which can be used in designing defense techniques. Based on our experimental results, we suggest an adversarial defense model incorporating security policies that are suitable for practical purposes.

关键词： Network security

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