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GENIUS: A computational modeling framework for counter-terrorism planning and response

GENIUS: A computational modeling framework for counter-terro...

引用

2010 IEEE International Conference on Intelligence and Security Informatics: Public Safety and Security, ISI 2010

作者： Tsang, Herbert H. Park, Andrew J. Sun, Mengting Glässer, Uwe School of Computing Science Australia Centre Canada Simon Fraser University Canada Department of Computer Science University of Calgary Canada

ISBN: (纸本)9781424464609

Public safety has been a great concern in recent years as terrorism occurs everywhere. When a public event is held in an urban environment like Olympic games or soccer games, it is important to keep public safe and at the same time, to have a specific plan to control and rescue the public in the case of a terrorist attack. In order to better position public safety in communities against potential threats, it is of utmost importance to identify existing gaps, define priorities and focus on developing approaches to address those. In this paper, we present a system which aims at providing a decision support, threats response planning and risk assessment. Threats can be in the form of Chemical, Biological, Radiological, Nuclear and Explosive (CBRNE). In order to assess and manage possible risks of such attacks, we have developed a computational framework of simulating terrorist attacks, crowd behaviors, and police or safety guards' rescue missions. The characteristics of crowd behaviors are modeled based on social science research findings and our own virtual environment experiments with real human participants. Based on gender and age, a person has a different behavioral characteristic. Our framework is based on swarm intelligence and agent-based modeling, which allows us to create a large number of people with specific behavioral characteristics. Different test scenarios can be created by importing or creating 3D urban environments and putting certain terrorist attacks (such as bombs or toxic gas) on specific locations and time-lines. © 2010 IEEE.

关键词： Terrorism

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A discriminative latent model of image region and object tag correspondence

A discriminative latent model of image region and object tag...

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24th Annual Conference on Neural Information Processing Systems 2010, NIPS 2010

作者： Wang, Yang Mori, Greg Department of Computer Science University of Illinois at Urbana-Champaign United States School of Computing Science Simon Fraser University Canada

ISBN: (纸本)9781617823800

We propose a discriminative latent model for annotating images with unaligned object-level textual annotations. Instead of using the bag-of-words image representation currently popular in the computer vision community, our model explicitly captures more intricate relationships underlying visual and textual information. In particular, we model the mapping that translates image regions to annotations. This mapping allows us to relate image regions to their corresponding annotation terms. We also model the overall scene label as latent information. This allows us to cluster test images. Our training data consist of images and their associated annotations. But we do not have access to the ground-truth regionto-annotation mapping or the overall scene label. We develop a novel variant of the latent SVM framework to model them as latent variables. Our experimental results demonstrate the effectiveness of the proposed model compared with other baseline methods.

关键词： Mapping

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Accelerate mapreduce on GPUs with multi-level reduction 13

Accelerate mapreduce on GPUs with multi-level reduction

引用

5th Asia-Pacific Symposium on Internetware, Internetware 2013

作者： Zheng, Ran Liu, Kai Jin, Hai Zhang, Qin Feng, Xiaowen Services Computing Technology and System Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9781450323697

With Graphics Processing Units (GPUs) becoming more and more popular in general purpose computing, more attentions have been paid on building a framework to provide convenient interfaces for GPU programming. MapReduce can greatly simplify the programming for data-parallel applications in cloud computing environment, and it is also naturally suitable for GPUs. However, there are some problems in recent reduction-based MapReduce implementation on GPUs. Its performance is dramatically degraded when handling massive distinct keys because the massive data cannot be stored in tiny shared memory entirely. A new MapReduce framework on GPUs, called Jupiter, is proposed with continuous reduction structure. Two improvements are supported in Jupiter, a multi-level reduction scheme tailored for GPU memory hierarchy and a frequencybased cache policy on key-value pairs in shared memory. Shared memories are utilized efficiently for various dataparallel applications whether involving little or abundant distinct keys. Experiments show that Jupiter can achieve up to 3x speedup over the original reduction-based GPU MapReduce framework on the applications with lots of distinct keys. Categories and Subject Descriptors D.1.3 [Programming Techniques]: Concurrent Programming- parallel programming General Terms Algorithms, Performance, Design.

关键词： MapReduce

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Survey on Detection and Prevention of Phishing Websites using Machine Learning

Survey on Detection and Prevention of Phishing Websites usin...

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2021 International Conference on Advance computing and Innovative Technologies in Engineering, ICACITE 2021

作者： Rastogi, Malaika Chhetri, Anmol Singh, Divyanshu Kumar Rajan V, Gokul Galgotias University Computer Science Department Greater Noida India Galgotias University School of Computing Science and Engineering UP India

ISBN: (纸本)9781728177410

This research paper discusses on the phishing websites Prevention and Detection. A phishing website is a common social engineering method that mimics trustful uniform resource locators (URLs) and webpages. Phishing is the most commonly used social engineering and cyber-attack. Through such attacks, the phisher targets naïve online users by tricking them into revealing confidential information, with the purpose of using it fraudulently. In our paper we will be discussing and listing a few of the artificial intelligence models, that will help us to detect these phishing websites so that in the future these data and techniques can be used in machine learning to make our system better and efficient. The problem of phishing is widespread and there is no particular single solution available to effectively reduce all vulnerabilities, so many techniques are often used to reduce certain attacks. Machine learning is a useful tool used to reduce phishing *** innovation keeps on developing, phishing strategies began to advance quickly several anti-phishing tools are available and have their own disadvantages. The paper concentrates on basic Machine learning supervised classification techniques to seek out an answer to phishing attacks. The Basic principle of this paper is to execute the frameworks with good efficiency, exactness, and cost-effectively. The task is attained by using 4 ML managed classification models. The four classification models are KNN, Kernel-SVM, Rando Forest Classifier and Decision tree. The supervised classification contains a labeled dataset that is used to train the models. All the four algorithms used: KNN, Kernel-SVM, Rando Forest Classifier and Decision tree are classification models. With machine learning, cybersecurity systems can analyze patterns and learn from them to assist prevent similar attacks and answer changing behavior. It can help users to be more active in preventing threats and respond to active attacks in real-time. So, by usin

关键词： Web services

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Exploring BitTorrent peer distribution via hybrid PlanetLab-internet measurement

Exploring BitTorrent peer distribution via hybrid PlanetLab-...

引用

2010 IEEE 18th International Workshop on Quality of Service, IWQoS 2010

作者： Wang, Haiyang Liu, Jiangchuan Xu, Ke School of Computing Science Simon Fraser University BC Canada Department of Computer Science and Technology Tsinghua University Beijing China

ISBN: (纸本)9781424459889

Understanding the peer distribution over the global Internet is the key issue toward building new generation of ISP-friendly peer-to-peer systems. However, there are unfortunately significant scalability and representability challenges in measuring and understanding real-world peer distribution. In this paper, we demonstrate a novel hybrid measurement methodology that uses the PlanetLab as a distributed probing platform to interact with BitTorrent trackers and peers in the global Internet.

关键词： Distributed computer systems

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Mimir: Term-distributed indexing and search for secret documents

Mimir: Term-distributed indexing and search for secret docum...

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作者： Gao, Guoqiang Li, Ruixuan Gu, Xiwu Wen, Kunmei Lu, Zhengding Yan, Kun Intelligent and Distributed Computing Lab. School of Computer Science and Technology Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9780984589326

In order to access sensitive documents shared over government, army and enterprise intranets, users rely on an indexing facility where they can quickly locate relevant documents they are allowed to access, (1) without leaking information about the remaining documents, (2) without imposing large load on the receptionist, and (3) with a balanced load on the index servers. To address this problem, we propose Mimir, a distributed cipher retrieval system for sensitive documents. Mimir constructs the distributed indexes based on load balanced term distribution for better search efficiency and load balanced query. Mimir utilizes encryption with random key, partial key update, and access control based on role and user to protect sensitive data and improve query efficiency. Mimir uses dynamic pipelined search strategy to balance the load of the management server and reduce the search delay. Our experiments show that Mimir can effectively protect secret data and answer queries nearly as fast as an ordinary inverted index. © 2010 ICST.

关键词： Cryptography

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PCTCP: Per-circuit TCP-over-IPsec transport for anonymous communication overlay networks 13

PCTCP: Per-circuit TCP-over-IPsec transport for anonymous co...

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2013 ACM SIGSAC Conference on computer and Communications Security, CCS 2013

作者： AlSabah, Mashael Goldberg, Ian Qatar Computing Research Institute Department of Computer Science and Engineering Qatar University Doha Qatar Cheriton School of Computer Science University of Waterloo Waterloo ON Canada

ISBN: (纸本)9781450324779

Recently, there have been several research efforts to design a transport layer that meets the security requirements of anonymous communications while maximizing the network performance experienced by users. In this work, we argue that existing proposals suffer from several performance and deployment issues and we introduce PCTCP, a novel anonymous communication transport design for overlay networks that addresses the shortcomings of the previous proposals. In PCTCP, every overlay path, or circuit, is assigned a separate kernel-level TCP connection that is protected by IPsec, the standard security layer for IP. To evaluate our work, we focus on the Tor network, the most popular low-latency anonymity network, which is notorious for its performance problems that can potentially deter its wider adoption and thereby impact its anonymity. Previous research showed that the current transport layer design of Tor, in which several circuits are multiplexed in a single TCP connection between any pair of routers, is a key contributor to Tor's performance issues. We implemented, experimentally evaluated, and confirmed the potential gains provided by PCTCP in an isolated testbed and on the live Tor network. We ascertained that significant performance benefits can be obtained using our approach for web clients, while maintaining the same level of anonymity provided by the network today. Our realistic large-scale experimental evaluation of PCTCP shows improvements of more than 60% for response times and approximately 30% for download times compared to Tor. Finally, PCTCP only requires minimal changes to Tor and is easily deployable, as it does not require all routers on a circuit to upgrade. © 2013 ACM.

关键词： Overlay networks

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A tabu search based approach for graph layout 20

A tabu search based approach for graph layout

引用

20th International Conference on Distributed Multimedia Systems, DMS 2014

作者： Dib, Fadi K. Rodgers, Peter Computer Science Department Gulf University for Science and Technology Kuwait Kuwait School of Computing University of Kent Canterbury United Kingdom

ISBN: (纸本)1891706365

This paper describes an automated tabu search based method for drawing general simple graph layouts with straight lines. To our knowledge, this is the first time tabu methods have been applied to graph drawing. We formulated the task as a multi-criteria optimization problem with a number of metrics which are used in a weighted fitness function to measure the aesthetic quality of the graph layout. The main goal of this work is speeding up the graph layout process without sacrificing the layout quality. To achieve this we used a tabu search based method that goes through a predefined number of iterations to minimize the value of the fitness function. Tabu search always chooses the best solution in the neighborhood. This may lead to cycling, so a tabu list is used to store moves that are not permitted so that the algorithm does not choose previous solutions for a set period of time. We give experimental results applied on random graphs and we provide statistical evidence that our method outperforms one of the fast search-based drawing methods (hill climbing) in execution time while it produces comparably good graph layouts. We also demonstrate the method on real world graph datasets. © 2014 by Knowledge Systems Institute Graduate school.

关键词： Tabu search

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HMM based Hand Gesture Recognition: A Review on Techniques and Approaches

HMM based Hand Gesture Recognition: A Review on Techniques a...

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2nd IEEE International Conference on computer science and Information Technology

作者： Moni, M. A. Ali, A. B. M. Shawkat Department of Computer Science and Engineering Jatiya Kabi Kazi Nazrul Islam University Bangladesh India School of Computing Science Central Queensland University Australia

ISBN: (纸本)9781424445189

Gesture is one of the most natural and expressive ways of communications between human and computer in a virtual reality system. We naturally use various gestures to express our own intentions in everyday life. Hand gesture is one of the important methods of non-verbal communication for human beings for its freer in movements and much more expressive than any other body parts. Hand gesture recognition has a number of potential applications in human-computer interaction, machine vision, virtual reality, machine control in industry, and so on. As a gesture is a continuous motion on a sequential time series, the HMMs (Hidden Markov Models) must be a prominent recognition tool. The most important thing in hand gesture recognition is what the input features are that best represent the characteristics of the moving hand gesture. This paper presents part of literature review on ongoing research and findings on different technique and approaches in gesture recognition using HMMs for vision-based approach.

关键词： Hand gesture recognition sign language recognition Hidden Markov Model

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Neural Style Transfer: A Comparative Study 15

Neural Style Transfer: A Comparative Study

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15th International Conference on computing Communication and Networking Technologies, ICCCNT 2024

作者： Suryamritha, M. Balaji, Varshini Kannan, Srinidhi Singh, Tripty Sharma, Mansi Amrita School of Computing Amrita Vishwa Vidyapeetham Dept. of Computer Science and Engineering Bangalore India University Dept. of Computer Science and Engineering India

ISBN: (纸本)9798350370249

Neural Style Transfer (NST) has emerged as a powerful technique for artistic image synthesis by fusing the base image with style source. In this study, we present a comparative analysis of NST using popular convolutional neural network (CNN) architectures, using pre-trained models such as VGG19, DenseNet121, ResNet50, and MobileNetV2. The methodology involves leveraging the deep features extracted by the models to balance content and style in synthesized images. We delve into the specifics of the model's layer utilization, loss function definition, and TensorFlow implementation details. Experimental results demonstrate the model's ability to produce visually compelling images that seamlessly merge content and style characteristics. Densenet121 has demonstrated superior performance compared to the other models in the evaluation. This work not only contributes to the field of NST but also offers a user-friendly TensorFlow framework, fostering further exploration and advancements in the realm of computer vision and image processing. © 2024 IEEE.

关键词： Artistic image synthesis CNN DenseNet121 image processing MobileNetV2 Neural Style Transfer ResNet50 TensorFlow VGG-19

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