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Towards an Information Asset-Based Defensive Cyber Damage Assessment Process

Towards an Information Asset-Based Defensive Cyber Damage As...

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

作者： Michael R. Grimaila Larry W. Fortson Center for Information Security Education and Research Air Force Institute of Technology OH USA

The use of computers and communication technologies to enhance command and control (C2) processes has yielded enormous benefits in military operations. Commanders are able to make higher quality decisions by accessing a greater number of information resources, obtaining more frequent updates from their information resources, and by correlation between, and across, multiple information resources to reduce uncertainty in the battlespace. However, these benefits do not come without a cost. The reliance on technology results in significant operational risk that is often overlooked and is frequently underestimated. In this research-in-progress paper, we discuss our initial findings in our efforts to improve the defensive cyber battle damage assessment process within US Air Force networks. We have found that the lack of a rigorous, well-documented, information asset-based risk management process results in significant uncertainty and delay when assessing the impact of an information incident.

关键词： Command and control systems Information resources Risk management Delay Information security Military computing Uncertainty Degradation Decision making computational intelligence

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FASER (Formal and Automatic security Enforcement by Rewriting): An algebraic approach

FASER (Formal and Automatic Security Enforcement by Rewritin...

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

作者： Guangye Sui Mohamed Mejri Hatem Ben Sta Laval University QUE Canada University of Tunis Tunis Tunisia

Recent research confirmed that program rewriting techniques are powerful mechanisms for security enforcement, since they gather advantages of both static and dynamic approaches. In a previous work, we introduced the basic ideas underlying a program rewriting approach allowing to automatically enforce a security policy on an untrusted program. In this approach, a security policy and an untrusted program are specified as two processes in an extended version of the BPA (Basic Process Algebra) and the security enforcement problem is transformed to a resolution of a linear system generated from them. The enforced version of a program "behaves" like the original one except that it will be aborted when it tries to violate the security policy. In this paper, we better formalize the approach; we prove its foundation; we endow it with a high level logic to specify security policy and we implement a prototype that shows its efficiency.

关键词： security Algebra Monitoring Semantics Linear systems Syntactics Equations

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Towards a formal framework for evaluating the effectiveness of system diversity when applied to security

Towards a formal framework for evaluating the effectiveness ...

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

作者： Raphaël Khoury Abdelwahab Hamou-Lhadj Mario Couture Defence Research and Development Canada Ottawa ON CA Concordia University Department of Electrical & Computer Engineering Montreal Quebec Canada Defence Research and Development Canada Valcartier Quebec Canada

N-version programming has been shown to be an effective way to increase the reliability of systems. In this study, we examine the possibility of extending this approach to address security, rather than reliability concerns. We focus specifically on how to evaluate the efficiency of the use of diversity for security. We show that while several key elements must be taken into account when N-version programming is used for security rather than reliability, it is nonetheless possible to devise a reasoning framework to evaluate the efficiency of this development paradigm in a security context. This framework allows us to reason about the most effective way to use diversity for security.

关键词： security Reliability Correlation Computer architecture Software Programming Context

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A Temporal Risk Assessment Framework for Planning A Future Force Structure

A Temporal Risk Assessment Framework for Planning A Future F...

引用

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

作者： Michael Barlow Ang Yang Hussein A. Abbass Defence and Security Applications Reearch Centre UNSW at Auastalian Defence Force Academy Canberra Australia

Planning future force structures is usually associated with a high, but difficult to quantify, risk factor. Among many other reasons for the importance of this planning process, the defence industry requires the military establishment to communicate their decisions on the capabilities needed in the future. This communication enables the industry to shape their R&D programs and tailor their production plans. Overall, the decision maker needs to anticipate the state(s) of the environment across a relatively long time frame. The process of anticipation is surrounded with many risk factors. Moreover, transforming a force structure is not a single-step process. Intermediate force structures need also to lake into account threats in the medium future. This paper presents a temporal risk assessment methodology for planning future force structure. The methodology relics on constructing a topological structure of interfiled into force structures with transitions based on the proximity of these structures to each other and budget constraints. The path with minimal maximum risk is then identified using a dynamic programming min-max path finder algorithm. The methodology is demonstrated with two simple examples

关键词： Risk management security computational intelligence Tellurium Shape Research and development Process planning Uncertainty Variable speed drives Inductors

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Toward Open-Set Text-Independent Speaker Identification in Tactical Communications

Toward Open-Set Text-Independent Speaker Identification in T...

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

作者： Matt B. Wolf WonKyung Park Jae C. Oh Misty K. Blowers Syracuse University NY USA

We present the design and implementation of an open-set text-independent speaker identification system using genetic learning classifier systems (LCS). We examine the use of this system in a real-number problem domain, where there is strong interest in its application to tactical communications. We investigate different encoding methods for representing real-number knowledge and study the efficacy of each method for speaker identification. We also identify several difficulties in solving the speaker identification problems with LCS and introduce new approaches to resolve the difficulties. Experimental results show that our system successfully learns 200 voice features at accuracies of 90 % to 100 % and 15,000 features to more than 80% for the closed-set problem, which is considered a strong result in the speaker identification community. The open-set capability is also comparable to existing numeric-based methods

关键词： Encoding Genetic algorithms Machine learning Adaptive systems computational intelligence Communication system security USA Councils Natural languages Speech Algorithm design and analysis

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Neural-based iterative approach for iris detection in iris recognition systems

Neural-based iterative approach for iris detection in iris r...

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

作者： Ruggero Donida Labati Vincenzo Piuri Fabio Scotti Quantum Optics Quantum Nanophysics Quantum Information University of Vienna Vienna Austria Institute for Quantum Optics and Quantum Information - Austrian Academy of Sciences Vienna Austria

The detection of the iris boundaries is considered in the literature as one of the most critical steps in the identification task of the iris recognition systems. In this paper we present an iterative approach to the detection of the iris center and boundaries by using neural networks. The proposed algorithm starts by an initial random point in the input image, then it processes a set of local image properties in a circular region of interest searching for the peculiar transition patterns of the iris boundaries. A trained neural network processes the parameters associated to the extracted boundaries and it estimates the offsets in the vertical and horizontal axis with respect to the estimated center. The coordinates of the starting point are then updated with the processed offsets. The steps are then iterated for a fixed number of epochs, producing an iterative refinements of the coordinates of the pupils center and its boundaries. Experiments showed that the method is feasible and it can be exploited even in non-ideal operative condition of iris recognition biometric systems.

关键词： Iterative methods Iris recognition Neural networks Iterative algorithms Image segmentation Helium Feature extraction computational intelligence security Image converters

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Course of Action Analysis in a Cultural Landscape Using Influence Nets

Course of Action Analysis in a Cultural Landscape Using Infl...

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

作者： Lee W. Wagenhals Alexander H. Levis System Architectures Laboratory ECE Department MS 1G5 George Mason University Fairfax VA USA

Since 1992 the nature of military operations has changed. The type of objectives that the military has to address has expanded well beyond those of traditional major combat operations. As military operations become other than conventional war - whether against transnational terrorist threats or conducting stabilization operations - the need to broaden the focus of models that support effects based planning and operations has become critical. One major present weakness is the absence of socio-cultural attributes in the models used for course of action selection and effects based planning. This paper illustrates an approach that enables analysts to evaluate a complex situation in which an adversary is embedded in a society from which it is receiving support. The paper describes a layered modeling approach that enables the analysts to examine and explain how actions of the military and other entities may results in desired or undesired effects, both on the adversary and on the population as a whole, and shows several techniques for comparing contemplated courses of action

关键词： Cultural differences Tin Contracts computational intelligence security Computer architecture Laboratories USA Councils Military computing Bayesian methods

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A Cognitive Approach to Intrusion Detection

A Cognitive Approach to Intrusion Detection

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

作者： D. Paul Benjamin Computer Science Department Pace University NY USA

The VMSoar project at Pace University is building a cognitive agent for cybersecurity. The project's objective is to create an intelligent agent that can model and understand the activities of users who are on the network, and that can communicate with network administrators in English to alert them to illegal or suspicious activities. VMSoar can understand users' activities because it is capable of performing these activities itself. It knows how to perform both legal and illegal activities, and uses this knowledge to explore simulations of the activity on a network. It can also probe information stored on a machine to assess the legality of past activity. Research in cybersecurity is difficult is due to the extremely large amount of data that must be analyzed to detect illegal activities. In addition, new exploits are developed frequently. Most current projects in this area are attempting to build some level of intelligence into their systems; however, those projects are focusing primarily on statistical data mining approaches. The VMSoar project is unique in its approach to building an intelligent security agent. The VMSoar agent is based on Soar, a mature cognitive architecture that is used in universities and corporations around the world

关键词： Intrusion detection Computer security Intelligent agent Law Legal factors Probes Intelligent systems Machine intelligence Data mining Buildings

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An online shadowed clustering algorithm applied to risk visualization in Territorial security

An online shadowed clustering algorithm applied to risk visu...

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

作者： Rafael Falcon Amiya Nayak Rami Abielmona Electrical Engineering and Computer Science University of Ottawa Ottawa ON Canada Research & Engineering Larus Technologies Corporation Ottawa ON Canada

The identification and processing of the risk sources that prevail in a sensor-monitored area is crucial to guarantee the uninterrupted and efficient operation of the surveillance system. In particular, a time-varying schematic depiction of the risk associated with each object will allow the human expert to draw meaningful conclusions about the system dynamics. In this paper, we introduce an online clustering algorithm for risk visualization in a Territorial security environment. The clustering machinery leans upon shadowed sets due to their robustness and interpretability. The proposed algorithm is able to process data arriving in real time as it only memorizes a small subset of them. It is strong to noisy and abnormal samples and represents each cluster as a shadowed set. Experiments conducted in a simulated Critical Infrastructure Protection scenario confirm the feasibility and robustness of the proposed technique.

关键词： Clustering algorithms Sensors security Heuristic algorithms Prototypes Monitoring Risk management

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An optimisation model for airlift load planning: Galahad and the quest for the ‘holy grail’

An optimisation model for airlift load planning: Galahad and...

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

作者： Bohdan L. Kaluzny R.H.A. David Shaw Ahmed Ghanmi Beomjoon Kim Canadian Department of National Defence Centre for Operational Research & Analysis Defence Research and Development Canada Ottawa ONT Canada Department of Mechanical and Mechatronics Engineering University of Waterloo Waterloo ONT Canada

This paper presents an aircraft load allocation optimisation model, which uses a hybrid of simulated annealing and genetic algorithm methods to solve a multi-objective optimisation problem associated with allocating a set of cargo items across a heterogeneous fleet of available airlift assets. It represents candidate solutions using macrochromosomes comprised of an ordered list of available transport assets followed by an ordered list of cargo items. A bin packing heuristic is used to map each individual to a point in asset-utilization space where a novel convex hull based fitness function is used to evaluate the relative quality of each individual and drive an elitist application of genetic operators on the population - including a novel extinction operation that infrequently culls solutions comprising of aircraft chalks that cannot be load balanced. Proof of concept computational results are presented.

关键词： Load modeling Military aircraft Asset management Optimization methods Simulated annealing Genetic algorithms Costs Military equipment computational intelligence security

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