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Latency-information theory and applications. Part II: On real-world knowledge aided radar

Latency-information theory and applications. Part II: On rea...

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conference on mobile multimedia/image processing, security, and applications

作者： Feria, Erlan H. CUNY Coll Staten Isl Dept Engn Sci & Phys Staten Isl NY 10314 USA

ISBN: (纸本)9780819471734

In this second of a multi-paper series latency-information theory (LIT), the integration of information theory with its time dual, i.e., latency theory, is successfully applied to DARPA's knowledge aided sensor signal processing expert reasoning (KASSPER) program. LIT encapsulates the concept of the time dual of a lossy source coder, i.e., a lossy processor coder. A lossy processor coder is a replacement for a signal-processor. This lossy processor coder is faster, simpler to implement, and yields a better performance than the original signal-processor when the processor input appears in a highly compressed-decompressed lossy fashion. In particular, a lossy clutter covariance processor (CCP) architecture is investigated that has successfully replaced KASSPER's originally advanced lossless CCP and enabled its SAR imagery prior knowledge to be highly compressed-decompressed. This result is illustrated with a typical SAR image which is compressed-decompressed by a factor 8,172. Using this image and under severely taxing environmental disturbances outstanding detections are achieved with the lossy CCP. Furthermore, this result is derived with a lossy CCP that is at least five orders of magnitude faster and significantly simpler to implement than the corresponding lossless CCP whose SINR detection performance is nevertheless unsatisfactory. As a final comment it is also observed that LIT illuminates biological system studies since it provides a lossy mechanism that explains how outstanding detections may be arrived at by biological systems that use highly lossy compressed prior knowledge, e.g., when a human expertly detects a face seen only once before even though that face cannot be accurately described prior to such new viewing.

关键词： space-time dual time dual latency latency theory information latency-information theory sourced-space motion-time processing-time retention-space bits bors lossy processor processor ectropy source entropy sensor consciousness channel capacity knowledge aided radar intelligent system DARPA KASSPER biology

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Forensic Print Extraction Using 3-D Technology and its processing

Forensic Print Extraction Using 3-D Technology and its Proce...

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conference on mobile multimedia/image processing, security, and applications

作者： Rajeev, Srijith Kamath, Shreyas K. M. Panetta, Karen Agaian, Sos S. Tufts Univ Dept Elect & Comp Engn Medford MA 02144 USA Univ Texas San Antonio Dept Elect & Comp Engn One UTSA Circle San Antonio TX 78249 USA CUNY Grad Ctr Dept Comp Sci New York NY USA

ISBN: (数字)9781510609440

ISBN: (纸本)9781510609433;9781510609440

Biometric evidence plays a crucial role in criminal scene analysis. Forensic prints can be extracted from any solid surface such as firearms, doorknobs, carpets and mugs. Prints such as fingerprints, palm prints, footprints and lip-prints can be classified into patent, latent, and three-dimensional plastic prints. Traditionally, law enforcement officers capture these forensic traits using an electronic device or extract them manually, and save the data electronically using special scanners. The reliability and accuracy of the method depends on the ability of the officer or the electronic device to extract and analyze the data. Furthermore, the 2-D acquisition and processing system is laborious and cumbersome. This can lead to the increase in false positive and true negative rates in print matching. In this paper, a method and system to extract forensic prints from any surface, irrespective of its shape, is presented. First, a suitable 3-D camera is used to capture images of the forensic print, and then the 3-D image is processed and unwrapped to obtain 2-D equivalent biometric prints. Computer simulations demonstrate the effectiveness of using 3-D technology for biometric matching of fingerprints, palm prints, and lip-prints. This system can be further extended to other biometric and non-biometric modalities.

关键词： Forensic biometric fingerprint palmprint lip-print unrolling modeling 3-D 2-D

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Encryption for confidentiality of the network and influence of this to the quality of streaming video through network

Encryption for confidentiality of the network and influence ...

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conference on mobile multimedia/image processing, security, and applications

作者： Sevcik, L. Uhrin, D. Frnda, J. Voznak, M. Toral-Cruz, Homer Mikulec, M. Jakovlev, Sergej VSB Tech Univ Ostrava 17 Listopadu 15-2172 Ostrava 70833 Czech Republic Univ Quintana Roo Chetmal Quintana Roo Mexico Klaipeda Univ LT-91225 Klaipeda Lithuania

ISBN: (纸本)9781628416138

Nowadays, the interest in real-time services, like audio and video, is growing. These services are mostly transmitted over packet networks, which are based on IP protocol. It leads to analyses of these services and their behavior in such networks which are becoming more frequent. Video has become the significant part of all data traffic sent via IP networks. In general, a video service is one-way service (except e.g. video calls) and network delay is not such an important factor as in a voice service. Dominant network factors that influence the final video quality are especially packet loss, delay variation and the capacity of the transmission links. Analysis of video quality concentrates on the resistance of video codecs to packet loss in the network, which causes artefacts in the video. IPsec provides confidentiality in terms of safety, integrity and non-repudiation (using HMAC-SHA1 and 3DES encryption for confidentiality and AES in CBC mode) with an authentication header and ESP (Encapsulating security Payload). The paper brings a detailed view of the performance of video streaming over an IP-based network. We compared quality of video with packet loss and encryption as well. The measured results demonstrated the relation between the video codec type and bitrate to the final video quality.

关键词： security Encryption IPsec AES 3DES

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Develop a solution for protecting and securing Enterprise networks from malicious attacks

Develop a solution for protecting and securing Enterprise ne...

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conference on mobile multimedia/image processing, security, and applications

作者： Kamuru, Harshitha Nijim, Mais Texas A&M Univ.-Kingsville (United States)

ISBN: (纸本)9781628410570

In the world of computer and network security, there are myriad ways to launch an attack, which, from the perspective of a network, can usually be defined as "traffic that has huge malicious intent." Firewall acts as one of the measure in order to secure the device from incoming unauthorized data. There are infinite number of computer attacks that no firewall can prevent, such as those executed locally on the machine by a malicious user. From the network's perspective, there are numerous types of attack. All the attacks that degrade the effectiveness of data can be grouped into two types: brute force and precision. The Firewall that belongs to Juniper has the capability to protect against both types of attack. Denial of Service (DoS) attacks are one of the most well-known network security threats under brute force attacks, which is largely due to the high-profile way in which they can affect networks. Over the years, some of the largest, most respected Internet sites have been effectively taken offline by Denial of Service (DOS) attacks. A DoS attack typically has a singular focus, namely, to cause the services running on a particular host or network to become unavailable. Some DoS attacks exploit vulnerabilities in an operating system and cause it to crash, such as the infamous Win nuke attack. Others submerge a network or device with traffic so that there are no more resources to handle legitimate traffic. Precision attacks typically involve multiple phases and often involves a bit more thought than brute force attacks, all the way from reconnaissance to machine ownership. Before a precision attack is launched, information about the victim needs to be gathered. This information gathering typically takes the form of various types of scans to determine available hosts, networks, and ports. The hosts available on a network can be determined by ping sweeps. The available ports on a machine can be located by port scans. Screens cover a wide variety of attack traffic as

关键词： Network security Databases Computer security Data communications Internet Scanners Local area networks Computer networks Telecommunications Operating systems

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Advanced Research on Electronic Commerce, Web Application, and Communication 2011

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丛书名： Communications in Computer and Information Science

2011年

作者： Gang Shen Xiong Huang

ISBN: (数字)9783642203701

ISBN: (纸本)9783642203695

The two-volume set CCIS 143 and CCIS 144 constitutes the refereed proceedings of the International conference on Electronic Commerce, Web Application, and Communication, ECWAC 2011, held in Guangzhou, China, in April 2011. The 148 revised full papers presented in both volumes were carefully reviewed and selected from a large number of submissions. Providing a forum for engineers, scientists, researchers in electronic commerce, Web application, and communication fields, the conference will put special focus also on aspects such as e-business, e-learning, and e-security, intelligent information applications, database and system security, image and video signal processing, pattern recognition, information science, industrial automation, process control, user/machine systems, security, integrity, and protection, as well as mobile and multimedia communications.

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Breaking Down the Barriers of Using Strong Authentication and Encryption in Resource Constrained Embedded Systems

Breaking Down the Barriers of Using Strong Authentication an...

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conference on mobile multimedia/image processing, security, and applications

作者： Knobler, Ron Scheffel, Peter Jackson, Scott Gaj, Kris Kaps, Jens Peter McQ Inc 1551 Forbes St Fredericksburg VA USA George Mason Univ Cryptograph Engn Res Fairfax VA 22030 USA

ISBN: (纸本)9780819495464

Various embedded systems, such as unattended ground sensors (UGS), are deployed in dangerous areas, where they are subject to compromise. Since numerous systems contain a network of devices that communicate with each other (often times with commercial off the shelf [COTS] radios), an adversary is able to intercept messages between system devices, which jeopardizes sensitive information transmitted by the system (e. g. location of system devices). Secret key algorithms such as AES are a very common means to encrypt all system messages to a sufficient security level, for which lightweight implementations exist for even very resource constrained devices. However, all system devices must use the appropriate key to encrypt and decrypt messages from each other. While traditional public key algorithms (PKAs), such as RSA and Elliptic Curve Cryptography (ECC), provide a sufficiently secure means to provide authentication and a means to exchange keys, these traditional PKAs are not suitable for very resource constrained embedded systems or systems which contain low reliability communication links (e. g. mesh networks), especially as the size of the network increases. Therefore, most UGS and other embedded systems resort to pre- placed keys (PPKs) or other naive schemes which greatly reduce the security and effectiveness of the overall cryptographic approach. McQ has teamed with the Cryptographic Engineering Research Group (CERG) at George Mason University (GMU) to develop an approach using revolutionary cryptographic techniques that provides both authentication and encryption, but on resource constrained embedded devices, without the burden of large amounts of key distribution or storage.

关键词： unattended ground sensors public key cryptography information assurance data in transit authentication low SWaP security

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CoBCom 2024 - International conference on Broadband Communications for Next Generation Networks and multimedia applications, co-located International conference and Workshop on Systems, Signals and image processing, IWSSIP 2024

CoBCom 2024 - International Conference on Broadband Communic...

引用

5th International conference on Broadband Communications for Next Generation Networks and multimedia applications, CoBCom 2024

ISBN: (纸本)9798350388459

The proceedings contain 21 papers. The topics discussed include: from ray tracing to channel impulse responses: a review on the description of polarimetric time-invariant SISO channels;an efficient algorithm for scheduling aircraft landing problem;modeling and characterization of a compact in line filter with transmission zeros;from concept to implementation: lessons learned in designing and deploying a visible light positioning system;designing an augmented reality teaching module for power consumption in FPGAs;navigating the future: digital twin in maritime industry;measurement of a baby dummy in a car for child presence detection;advancing automotive connectivity: new technologies and security considerations;digital twins to monitor IoT devices for green transformation of university campus;and feasibility study of time synchronization solution for the bistatic synthetic aperture radar using mobile platforms.

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Fixation oriented object segmentation using mobile eye tracker

Fixation oriented object segmentation using mobile eye track...

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conference on mobile multimedia/image processing, security, and applications

作者： Wan, Qianwen Rajeev, Srijith Kaszowska, Aleksandra Panetta, Karen Taylor, Holly A. Agaian, Sos Tufts Univ Dept Elect & Comp Engn Medford MA 02155 USA Tufts Univ Dept Psychol Medford MA 02155 USA CUNY Comp Sci New York NY 10017 USA

ISBN: (数字)9781510618480

ISBN: (纸本)9781510618480

Eye tracking technology allows researchers to monitor position of the eye and infer one's gaze direction, which is used to understand the nature of human attention within psychology, cognitive science, marketing and artificial intelligence. Commercially available head-mounted eye trackers allow researchers to track pupil movements (saccades and fixations) using infrared camera and capture the field of vision by a front-facing scene camera. The wearable eye tracker opened a new way to research in unconstrained environment settings;however, the recorded scene video typically has non-uniform illumination, low quality image frames, and moving scene objects. One of the most important tasks for analyzing the recorded scene video data is finding the boundary between different objects in a single frame. This paper presents a multi-level fixation-oriented object segmentation method (MFoOS) to solve the above challenges in segmenting the scene objects in video data collected by the eye tracker in order to support cognition research. MFoOS shows its advancement in position-invariance, illumination, noise tolerance and is task-driven. The proposed method is tested using real-world case studies designed by our team of psychologists focused on understanding visual attention in human problem solving. The extensive computer simulation demonstrates the method's accuracy and robustness for fixation-oriented object segmentation. Moreover, a deep-learning image semantic segmentation combining MFoOS results as label data was explored to demonstrate the possibility of on-line deployment of eye tracker fixation-oriented object segmentation.

关键词： Eye tracking technology multi-level fixation-oriented object segmentation image semantic segmentation online deployment cognitive science

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Satellite images encryption Review

Satellite images encryption Review

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International conference on Intelligent Computing and Human-Computer Interaction (ICHCI)

作者： Al-Khasawneh, Mahmoud Ahmad Abu-Ulbeh, Waheeb Khasawneh, Ahmad M. Al Madinah Int Univ Fac Comp Informat Technol Kuala Lumpur Malaysia Amman Arab Univ Cyber Secur Dept Amman Jordan Amman Arab Univ Mobile Comp Dept Amman Jordan

ISBN: (纸本)9781665423168

Rapid expansion of digital communication and multimedia application has led to the wide usage of digital image processing in every aspect of life of mankind. These include the use of remote sensing, medical field, meteorology, communications, as well as intelligent robots, just to name a few. This has brought to the issue of security particularly within the domains of storage, communication, as well as transmission of digital data including audio, video and also image. One way to assure image data security is through encryption. The application of encryption can be seen in numerous domains including medical science, military, as well as geographic satellite images. Confidentiality, authenticity, security, privacy and also integrity of image data have become a vital issue for communication and storage of images, especially when dealing with the internet, a channel that is insecure. Accordingly, there have been countless technologies of satellite images encryption being introduced in the recent years. Relevantly, this paper will discuss the notion of cryptography and images encryption. Then, different techniques of satellite images encryption will be discussed and the works associated with each technique will be reviewed. Through the scrutiny of the behavior of a number of satellite images encryption algorithms, this paper will assist in the construction of future satellite images encryption techniques.

关键词： component image Encryption Domains of image Encryption Full and Selective image Encryption Techniques Chaotic Maps

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Selective Area Encryption using Machine Learning Technique

Selective Area Encryption using Machine Learning Technique

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IEEE International conference on Innovations in Power and Advanced Computing Technologies

作者： Kelur, Soumya Kumar, Ranjan H. S. Raju, K. NMAMIT Dept CS&E Karkala Karnataka India

ISBN: (纸本)9781538681909

Detection of object and recognition of objects in real world computing environment is one of the challenging tasks in computer vision. To solve this task there are many challenges in designing algorithm, we have to introduce different and innovative techniques to detect objects in natural environments. image security is of high importance in various applications including military, medical and many others. security is one of the most challenging aspects in the internet and network applications. Encrypting entire image is very slow. Selective encryption is a scheme which intends to save computational power, network resources, and execution time. To encrypt object selectively object detection techniques are used. This technique is one of the most promising solutions to increase the speed of encryption as compared to the traditional encryption techniques. Selective encryption is helpful for the multimedia contents like image, video and audio. The compression ratio achieved is very high, since we store only the residues of extracted pixel of an image. So this paper discussed about Selective encryption with object detection technique.

关键词： Object detection technique image processing computer vision machine learning technique Harr - cascade technique

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