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Dynamical networks as a tool for system analysis and exploration

Dynamical networks as a tool for system analysis and explora...

引用

ieee symposium on computational intelligence in security and defense applications, cisda

作者： Irene Pestov Simona Verga Centre for Operational Research and Analysis Defence Research and Development Canada Ottawa Canada

This paper attempts to bring together methods and tools across three selected areas of computational intelligence pertaining to complex systems: dynamical networks, statistical machine learning, and multi-agent technologies. The paper begins with a discussion of computational challenges arising from growing complexity in modern operating environments. Then the discussion proceeds to an overview of intelligent tools that can be used to address these challenges. The emphasis is given to dynamical networks as the means for consolidating ideas and approaches. An illustrative example shows how the network-based tools can be used to model complex socio-technical systems, to identify hidden interdependencies among their components, and to explore their vulnerabilities in simulations.

关键词： Content addressable storage computational intelligence Machine learning Military computing Computer simulation Decision making Adaptive systems Feedback Learning systems Competitive intelligence

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Fast localization in indoor environments

Fast localization in indoor environments

引用

ieee symposium on computational intelligence in security and defense applications, cisda

作者： Rimon Elias Amal Elnahas German University in Cairo New Cairo Egypt

In this paper, we propose an algorithm for fast indoor localization. The algorithm does not require any sensors to be installed; instead, localization is determined using image matching. Our system studies (or learns) the indoor environment through detecting image junctions using the so-called JUDOCA detector. Any 2-edge junction forms a triangle that can be used to store information and recognize the environment afterwards. Correlation is applied to points denoted with respect to one side of the triangle formed by the junction. Experiments show that this approach reaches similar accuracy of the affine-based correlation approach in less processing time.

关键词： Indoor environments Image matching Image databases Fingerprint recognition Detectors Data mining Cameras Spatial databases Computer vision computational intelligence

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Iris biometric authentication based on local global graphs: An FPGA implementation

Iris biometric authentication based on local global graphs: ...

引用

ieee symposium on computational intelligence in security and defense applications, cisda

作者： Raghudeep Kannavara Nikolaos Bourbakis Assistive Technologies Research Center Wright State University Dayton OH USA

In this work, we present a local-global (LG) graph methodology for iris based biometric authentication. Local-global (LG) graph method adds local part information into a global graph. Local graphs of the pre-processed iris images are first calculated by feature extraction and combined to form a global graph that is stored in a database for the purpose of authentication. The global graph of the presented test image is compared with the global graph of the stored reference image and based on a distance metric, the authenticity of the subject is established.

关键词： Iris Biometrics Authentication Field programmable gate arrays Image edge detection Feature extraction Image databases Spatial databases Information security Testing

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Automatically Evading IDS Using GP Authored Attacks

Automatically Evading IDS Using GP Authored Attacks

引用

ieee symposium on computational intelligence in security and defense applications, cisda

作者： H. Gunes Kayacik A. Nur Zincir-Heywood Malcolm I. Heywood Dalhousie University Halifax NS Canada

A mimicry attack is a type of attack where the basic steps of a minimalist 'core' attack are used to design multiple attacks achieving the same objective from the same application. Research in mimicry attacks is valuable in determining and eliminating weaknesses of detectors. In this work, we provide a genetic programming based automated process for designing all components of a mimicry attack relative to the Stide detector under a vulnerable Traceroute application. Results indicate that the automatic process is able to generate mimicry attacks that reduce the alarm rate from ~65% of the original attack, to ~2.7%, effectively making the attack indistinguishable from normal behaviors

关键词： Intrusion detection Detectors Genetic programming System testing Application software Process design computational intelligence Computer security Computer science Cryptographic protocols

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Multiple UAV teams for multiple tasks

Multiple UAV teams for multiple tasks

引用

ieee symposium on computational intelligence in security and defense applications, cisda

作者： P.B. Sujit Joao Sousa Fernando Pereira Department of Electrical and Computer Engineering University of Porta Portugal

In a search and prosecute mission, multiple heterogeneous unmanned aerial vehicles UAVs that carry different resources need to perform the classify, prosecute and battle damage assessment (BDA) tasks on targets sequentially. Depending on the target resource requirement, it may be necessary to deploy a coalition of UAVs to perform the action. In this paper, we propose coalition formation algorithms that have low computational overhead to determine coalitions for the prosecute and the BDA tasks. We also develop a simultaneous strike mechanism based on Dubins curves for the UAVs to prosecute the target simultaneously. Monte-Carlo simulation results are presented to show how the algorithms work and the effect of increasing the number of BDA tasks on the mission performance.

关键词： Unmanned aerial vehicles Robot sensing systems computational intelligence security Military computing Surveillance Monitoring Competitive intelligence Command and control systems Fuels

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Detection & study of DDoS attacks via entropy in data network models

Detection & study of DDoS attacks via entropy in data networ...

引用

ieee symposium on computational intelligence in security and defense applications, cisda

作者： Anna T. Lawniczak Bruno N. Di Stefano Hao Wu Mathematics & Statistics University of Guelph Guelph ONT Canada Nuptek Systems Limited Torreon ONT USA University of Guelph Canada

We detect & study packet traffic anomalies similar to DDoS attacks using information entropy. We perform network-wide monitoring of information entropy of packet traffic at a small number of selected routers. Our method is based on the fact that DDoS attacks change the ¿natural¿ order and randomness of packet traffic passing through monitored routers when an attack is taking place in the network. Through this change we detect the start of the attack and study its evolution. We conduct this study for packet-switching networks using static and dynamic routing.

关键词： Computer crime Telecommunication traffic Floods Monitoring Computer networks Internet Information entropy computational intelligence Computer security Data security

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A detailed analysis of the KDD CUP 99 data set

A detailed analysis of the KDD CUP 99 data set

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ieee symposium on computational intelligence in security and defense applications, cisda

作者： Mahbod Tavallaee Ebrahim Bagheri Wei Lu Ali A. Ghorbani University of New Brunswick Fredericton NB Canada Institute for Information Technology National Research Council Canada Canada

During the last decade, anomaly detection has attracted the attention of many researchers to overcome the weakness of signature-based IDSs in detecting novel attacks, and KDDCUP'99 is the mostly widely used data set for the evaluation of these systems. Having conducted a statistical analysis on this data set, we found two important issues which highly affects the performance of evaluated systems, and results in a very poor evaluation of anomaly detection approaches. To solve these issues, we have proposed a new data set, NSL-KDD, which consists of selected records of the complete KDD data set and does not suffer from any of mentioned shortcomings.

关键词： Testing Intrusion detection Data security Statistical analysis Computer security Computer aided manufacturing Learning systems computational intelligence Computer networks Application software

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Application of voiced-speech variability descriptors to emotion recognition

Application of voiced-speech variability descriptors to emot...

引用

ieee symposium on computational intelligence in security and defense applications, cisda

作者： Krzysztof Ślot Jarosław Cichosz Łukasz Bronakowski Institute of Electronics Technical University of Lodz Lodz Poland

The following paper examines a possibility of applying phone-pronunciation variability descriptors in emotion classification. The proposed group of descriptors comprises a set of statistical parameters of Poincare maps, which are derived for evolution of formant-frequencies and energy of voiced-speech segments. Poincare maps are represented by means of four different parameters that summarize various aspects of plot's scatter. It has been shown that incorporation of the proposed features into a set of commonly-used emotional-speech descriptors, results in a substantial, ten-percent increase in emotion classification performance - recognition rates are at the order of 80% for six-category, speaker independent experiments.

关键词： Emotion recognition Speech analysis Pattern recognition Performance analysis computational intelligence security Labeling Speech recognition Testing Spatial databases

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mTRACK — Monitoring time-varying relations in approximately categorised knowledge

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

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ieee symposium on computational intelligence in security and defense applications, cisda

作者： Trevor Martin Yun Shen Artificial Intelligence Group University of Bristol UK

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.

关键词： Monitoring Uncertainty Data mining National electric code Association rules Information systems computational intelligence Data security Project management Humans

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Secure two and multi-party association rule mining

Secure two and multi-party association rule mining

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ieee symposium on computational intelligence in security and defense applications, cisda

作者： Saeed Samet Ali Miri School of Information Technology and Engineering SITE University of Ottawa Ottawa Canada

Association rule mining provides useful knowledge from raw data in different applications such as health, insurance, marketing and business systems. However, many real world applications are distributed among two or more parties, each of which wants to keep its sensitive information private, while they collaboratively gaining some knowledge from their data. Therefore, secure and distributed solutions are needed that do not have a central or third party accessing the parties' original data. In this paper, we present a new protocol for privacy-preserving association rule mining to overcome the security flaws in existing solutions, with better performance, when data is vertically partitioned among two or more parties. Two sub-protocols for secure binary dot product and cardinality of set intersection for binary vectors are also designed which are used in the main protocols as building blocks.

关键词： Association rules Data mining Data security Protocols Information security Data privacy Classification tree analysis Bayesian methods computational intelligence Insurance

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