Forgery

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Forgery is the process of making, adapting, or imitating objects, statistics, or documents with the intent to deceive. Copies, studio replicas, and reproductions are not considered forgeries, though they may later become forgeries through knowing and willful misrepresentations. (Wikipedia.org)






Conferences related to Forgery

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2018 14th IEEE International Conference on Signal Processing (ICSP)

ICSP2018 includes sessions on all aspects of theory, design and applications of signal processing. Prospective authors are invited to propose papers in any of the following areas, but not limited to: A. Digital Signal Processing (DSP)B. Spectrum Estimation & ModelingC. TF Spectrum Analysis & WaveletD. Higher Order Spectral AnalysisE. Adaptive Filtering &SPF. Array Signal ProcessingG. Hardware Implementation for Signal ProcessingH Speech and Audio CodingI. Speech Synthesis & RecognitionJ. Image Processing & UnderstandingK. PDE for Image ProcessingL.Video compression &StreamingM. Computer Vision & VRN. Multimedia & Human-computer InteractionO. Statistic Learning & Pattern RecognitionP. AI & Neural NetworksQ. Communication Signal processingR. SP for Internet and Wireless CommunicationsS. Biometrics & AuthentificationT. SP for Bio-medical & Cognitive ScienceU


2018 15th IEEE Annual Consumer Communications & Networking Conference (CCNC)

IEEE CCNC 2018 will present the latest developments and technical solutions in the areas of home networking, consumer networking, enabling technologies (such as middleware) and novel applications and services. The conference will include a peer-reviewed program of technical sessions, special sessions, business application sessions, tutorials, and demonstration sessions


2018 25th IEEE International Conference on Image Processing (ICIP)

The International Conference on Image Processing (ICIP), sponsored by the IEEE Signal Processing Society, is the premier forum for the presentation of technological advances and research results in the fields of theoretical, experimental, and applied image and video processing. ICIP 2018, the 25th in the series that has been held annually since 1994, brings together leading engineers and scientists in image and video processing from around the world.


2018 26th European Signal Processing Conference (EUSIPCO)

Audio and acoustic signal processingSpeech and language processingImage and video processingMultimedia signal processingSignal processing theory and methodsSensor array and multichannel signal processingSignal processing for communicationsRadar and sonar signal processingSignal processing over graphs and networksNonlinear signal processingStatistical signal processingCompressed sensing and sparse modelingOptimization methodsMachine learningBio-medical image and signal processingSignal processing for computer vision and roboticsComputational imaging/ Spectral imagingInformation forensics and securitySignal processing for power systemsSignal processing for educationBioinformatics and genomicsSignal processing for big dataSignal processing for the internet of thingsDesign/implementation of signal processing systemsOther signal processing areas

  • 2017 25th European Signal Processing Conference (EUSIPCO)

    Audio and acoustic signal processingSpeech and language processingImage and video processingMultimedia signal processingSignal processing theory and methodsSensor array and multichannel signal processingSignal processing for communicationsRadar and sonar signal processingSignal processing over graphs and networksNonlinear signal processingStatistical signal processingCompressed sensing and sparse modelingOptimization methodsMachine learningBio-medical image and signal processingSignal processing for computer vision and roboticsInformation forensics and securitySignal processing for power systemsSignal processing for educationBioinformatics and genomicsSignal processing for big dataSignal processing for the internet of thingsDesign and implementation of signal processing systemsOther signal processing areas

  • 2016 24th European Signal Processing Conference (EUSIPCO)

    EUSIPCO is the flagship conference of the European Association for Signal Processing (EURASIP). The 24th edition will be held in Budapest, Hungary, from 29th August - 2nd September 2016. EUSIPCO 2016 will feature world-class speakers, oral and poster sessions, keynotes, exhibitions, demonstrations and tutorials and is expected to attract in the order of 600 leading researchers and industry figures from all over the world.

  • 2015 23rd European Signal Processing Conference (EUSIPCO)

    EUSIPCO is the flagship conference of the European Association for Signal Processing (EURASIP). The 23rd edition will be held in Nice, on the French Riviera, from 31st August - 4th September 2015. EUSIPCO 2015 will feature world-class speakers, oral and poster sessions, keynotes, exhibitions, demonstrations and tutorials and is expected to attract in the order of 600 leading researchers and industry figures from all over the world.

  • 2014 22nd European Signal Processing Conference (EUSIPCO)

    EUSIPCO is one of the largest international conferences in the field of signal processing and addresses all the latest developments in research and technology. The conference will bring together individuals from academia, industry, regulation bodies, and government, to discuss and exchange ideas in all the areas and applications of signal processing. The conference will feature world-class keynote speakers, special sessions, plenary talks, tutorials, and technical sessions.

  • 2013 21st European Signal Processing Conference (EUSIPCO)

    The EUSIPCO is organized by the European Association for Signal, Speech, and Image Processing (EURASIP). The focus will be on signal processing theory, algorithms, and applications.

  • 2012 20th European Signal Processing Conference

    The focus: signal processing theory, algorithms and applications. Papers will be accepted based on quality, relevance, and novelty and will be indexed in the main databases. Organizers: University POLITEHNICA of Bucharest and Telecom ParisTech.


2018 52nd Annual Conference on Information Sciences and Systems (CISS)

The scope includes theoretical advances, applications, and ideas in the fields of information sciences and systems including: Information Theory,Coding Theory, Image Processing, Communications, Signal Processing, Machine Learning, Statistical Inference,, Security and Privacy, Energy Systems, Networking, Systems and Control, Biological Systems


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Periodicals related to Forgery

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Circuits and Systems for Video Technology, IEEE Transactions on

Video A/D and D/A, display technology, image analysis and processing, video signal characterization and representation, video compression techniques and signal processing, multidimensional filters and transforms, analog video signal processing, neural networks for video applications, nonlinear video signal processing, video storage and retrieval, computer vision, packet video, high-speed real-time circuits, VLSI architecture and implementation for video technology, multiprocessor systems--hardware and software-- ...


Communications Letters, IEEE

Covers topics in the scope of IEEE Transactions on Communications but in the form of very brief publication (maximum of 6column lengths, including all diagrams and tables.)


Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on

Methods, algorithms, and human-machine interfaces for physical and logical design, including: planning, synthesis, partitioning, modeling, simulation, layout, verification, testing, and documentation of integrated-circuit and systems designs of all complexities. Practical applications of aids resulting in producible analog, digital, optical, or microwave integrated circuits are emphasized.


Computers, IEEE Transactions on

Design and analysis of algorithms, computer systems, and digital networks; methods for specifying, measuring, and modeling the performance of computers and computer systems; design of computer components, such as arithmetic units, data storage devices, and interface devices; design of reliable and testable digital devices and systems; computer networks and distributed computer systems; new computer organizations and architectures; applications of VLSI ...


Consumer Electronics, IEEE Transactions on

The design and manufacture of consumer electronics products, components, and related activities, particularly those used for entertainment, leisure, and educational purposes


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Most published Xplore authors for Forgery

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Xplore Articles related to Forgery

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On-line signature verification based on support vector data description and genetic algorithm

[{u'author_order': 1, u'affiliation': u'Automation School, Hangzhou Dianzi University, 310018, China', u'full_name': u'Ming Meng'}, {u'author_order': 2, u'affiliation': u'Automation School, Hangzhou Dianzi University, 310018, China', u'full_name': u'Xugang Xi'}, {u'author_order': 3, u'affiliation': u'Automation School, Hangzhou Dianzi University, 310018, China', u'full_name': u'Zhizeng Luo'}] 2008 7th World Congress on Intelligent Control and Automation, None

With the development of pen-based mobile device, on-line signature verification is gradually becoming a promising kind of biometrics. A method for the verification of on-line handwritten signatures using both support vector data description (SVDD) and genetic algorithm (GA) is described. A 27-parameter feature set including the shape and dynamic features was extracted from the on-line signatures data. The genuine signatures ...


Copy-move forgery detection using segmentation

[{u'author_order': 1, u'affiliation': u'CSIS, FISAT, Kerala, India', u'full_name': u'Bhavya Bhanu M P'}, {u'author_order': 2, u'affiliation': u'CSE, FISAT, Kerala, India', u'full_name': u'Arun Kumar M N'}] 2017 11th International Conference on Intelligent Systems and Control (ISCO), None

A copy-move forgery image will contain some part of the image copied and pasted to another portion of the same image. This may be done by a forger to cover some object or truth or to enhance the visual effect of the image. Nowadays, by using much advancement in image editing software forger can easily tamper the image. As a ...


Cryanalysis on a Nonrepudiable Threshold Proxy Signature Scheme with Known Signers

[{u'author_order': 1, u'affiliation': u'Xiangtan University, China', u'full_name': u'Hongguang Xiao'}, {u'author_order': 2, u'affiliation': u'Jiangxi University', u'full_name': u'Zuowen Tan'}, {u'author_order': 3, u'affiliation': u'Xiangtan University', u'full_name': u'Wang Jian'}] 2007 IFIP International Conference on Network and Parallel Computing Workshops (NPC 2007), None

In the paper, we analyze the security of C.-L. Hsu et al.'s threshold proxy signature scheme. The scheme suffers from universal forgery and does not hold nonrepudiation. An adversary can forge (t, n) threshold proxy signature on any message m. We propose an improvement to remedy the weakness of C.-L Hsu et al.'s scheme.


’Hidden signature’ —- a new solution for on-line verification using DTW

[{u'author_order': 1, u'affiliation': u'NASK, Warsaw, 02 -796, W¿wozowa 18, Poland', u'full_name': u'Joanna Putz-Leszczynska'}, {u'author_order': 2, u'affiliation': u'Warsaw University of Technology, 00-665, Nowowiejska 15/19, Poland', u'full_name': u'Andrzej Pacut'}] 2008 42nd Annual IEEE International Carnahan Conference on Security Technology, None

The article presents the idea of hidden signature - an artificial signature which can effectively replace the template signature (the best representative of a training set) in signature verification algorithms employing DTW (dynamic time warping). In this paper a few methods for the hidden signature computation are presented with their quality parameters. The main approaches are based on recursive point-by-point ...


Exposing digital image forgeries by detecting inconsistencies in principal point

[{u'author_order': 1, u'affiliation': u'School of Science, Beijing University of Posts and Telecommunications, China', u'full_name': u'Jing Hu'}, {u'author_order': 2, u'affiliation': u'School of Science, Beijing University of Posts and Telecommunications, China', u'full_name': u'Yezhou Li'}, {u'author_order': 3, u'affiliation': u'School of Computer, Beijing University of Posts and Telecommunications, China', u'full_name': u'Shaozhang Niu'}, {u'author_order': 4, u'affiliation': u'School of Computer, Beijing University of Posts and Telecommunications, China', u'full_name': u'Xianzhe Meng'}] 2011 International Conference on Computer Science and Service System (CSSS), None

The compositing of two or more objects into a single image is a common form of manipulation. We describe how such composites can be detected by estimating a camera's intrinsic parameters from the image of target objects. Differences in these parameters across the image are used as evidence of tampering.


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IEEE-USA E-Books

  • Camera-Based Image Forgery Detection

    Recently, an increased number of studies in image authentication and image forgery detection have appeared that are based on indicators arising from the acquisition process of the data, namely due to the inherent characteristics of the camera used to produce the image. This chapter focuses on different aspects of image forgery based on effects and cues found in the image that are due to the acquisition process. These aspects include: image authentication, image forgery detection and image signature. These studies are termed as camera-based image forgery detection methods. The chapter describes the camera structure and the three major components: optics, sensors and imaging pipeline. For each component, its basic mechanism, its role in the acquisition process and its effects on the final acquired image are detailed. The chapter presents a specific camera-based image forgery technique as a case study for the approaches.

  • Transport Layer Security: SSLv3 and TLSv1

    This chapter is devoted to a full discussion of the protocols of both Secure Sockets Layer version 3 (SSLv3) and TLSv1. The first version of Transport Layer Security (TLS) is very closely compatible with SSLv3. The TLSv1 protocol provides communications privacy and data integrity between two communicating parties over the Internet. Both the SSL and TLS protocols allow client/server applications to communicate in such a way that they prevent eavesdropping, tampering, or message forgery. The SSL (or TLS) protocol is composed of two layers: the SSL (or TLS) Record Protocol and the SSL (or TLS) Handshake Protocol. The Handshake Protocol allows the client/server to agree on a protocol version, to authenticate each other by forming an MAC, and to negotiate an encryption algorithm and cryptographic keys for protecting data sent in an SSL record before the application protocol transmits or receives its first byte of data.

  • Content Security

    As content management systems (CMS) are widely used for building public¿¿¿facing platforms, they are naturally exposed to a wide variety of security threats. Site defacing, information theft, injection attacks, and scripting attacks are some of the most common threats faced by popular CMS portals. This chapter looks at various content security aspects and presents the details of achieving course¿¿¿grained and fine¿¿¿grained security measures and content¿¿¿related security policies. It focuses on common security vulnerabilities such as cross¿¿¿site scripting (XSS), injection attacks, denial¿¿¿of¿¿¿service attacks, cross¿¿¿site request forgery (CSRF), and click¿¿¿jacking along with measures to prevent them. The chapter also looks at core content security concerns such as authentication, authorization, single sign¿¿¿on (SSO), permission model, and security testing scenarios. It describes various security best practices such as layer¿¿¿wise security, account management, transport¿¿¿level security CMS hardening, and others. The chapter concludes with a discussion of a security testing case study for a CMS application.

  • Printer and Scanner Forensics

    This chapter exhibits the technologies on device source identification and document forgery detection. It presents three examples on printer identification, scanner identification and document forgery detection for details. First, the chapter provides an overview of printer and scanner forensics and compares print forensics and digital image forensics. Next, it presents the difference between laser printers and inkjet printers, as well as a flowchart of printer forensics and forensic algorithms that are based on hardware defects and intrinsic character features. The chapter then shows algorithms used for scanner forensics and a flowchart of scanner forensics. Algorithms for photocopier forensics are discussed. The chapter further introduces some tampering methods and presents flowcharts and algorithms for detecting document forgery. It provides three sample algorithms: for printer forensics, scanner forensics and tampering detection. It finally illustrates details of the algorithms that should clarify how the algorithms work.

  • Index

    Digital forensics and multimedia forensics are rapidly growing disciplines whereby electronic information is extracted and interpreted for use in a court of law. These two fields are finding increasing importance in law enforcement and the investigation of cybercrime as the ubiquity of personal computing and the internet becomes ever-more apparent. Digital forensics involves investigating computer systems and digital artefacts in general, while multimedia forensics is a sub-topic of digital forensics focusing on evidence extracted from both normal computer systems and special multimedia devices, such as digital cameras.&nbsp_place_holder; This book focuses on the interface between digital forensics and multimedia forensics, bringing two closely related fields of forensic expertise together to identify and understand the current state-of-the-art in digital forensic investigation. Both fields are expertly attended to by contributions from researchers and forensic practitioners specializ ng in diverse topics such as forensic authentication, forensic triage, forensic photogrammetry, biometric forensics, multimedia device identification, and image forgery detection among many others. Key features: - Brings digital and multimedia forensics together with contributions from academia, law enforcement, and the digital forensics industry for extensive coverage of all the major aspects of digital forensics of multimedia data and devices - Provides comprehensive and authoritative coverage of digital forensics of multimedia data and devices - Offers not only explanations of techniques but also real-world and simulated case studies to illustrate how digital and multimedia forensics techniques work - Includes a companion website hosting continually updated supplementary materials ranging from extended and updated coverage of standards to best practice guides, test datasets and more case studies

  • Digital Image Forensics with Statistical Analysis

    A large number of forensic methods have been developed in the past decade to answer a broad range of forensic questions. Most image forensic tools can be divided into only two simple categories: semantics-based detection and non- semantics-based detection. This chapter first focuses on the non-semantics- based detection techniques as majority of existing image forensic tools fall into this category. The non-semantics-based detection tools mostly rely on the modelling of statistical patterns of the image using signal-level information. The chapter introduces several recently developed techniques to address two critical topics in the field of multimedia security: detecting region duplication and exposing splicing forgery. It talks about a method for reliable detection of duplicated image regions and an effective image splicing detection algorithm. More realistic case studies for these two techniques are demonstrated. These techniques are further extended to expose forgeries in audio and video signal.

  • How to Insure That Data Acquired to Verify Treaty Compliance Are TrustworthyThis chapter first appeared in the Proceedings of the IEEE, vol. 76, no. 5, May 1988.

    In a series of papers [6-8] this author has documented the evolution at the Sandia National Laboratories of a solution to the problem of how to make it possible for two mutually distrusting (and presumed deceitful) parties, the host and the monitor, to both trust a data acquisition system whose function it is to inform the monitor, and perhaps third parties, whether the host has or has not violated the terms of a treaty. The even more important question of what data will adequately show compliance (or noncompliance) and of how this data can be gathered in a way that adequately insures against deception will not be discussed here. We start by assuming that such a data acquisition system exists, and that the opportunities for deception that are the subject of this chapter lie only in the manipulation of the data itself, that is, forgery, modification, retransmission, etc. The national interests of the various participants, host, monitor and third parties, at first appear to be mutually exclusive and irreconcilable, however we will arrive at the conclusion that it is possible to simultaneously satisfy the interests of all parties. The technical device on which this resolution depends is the concatenation of two or more private authentication channels to create a system in which each participant need only trust that part of the whole that he contributed. In the resulting scheme, no part of the data need be kept secret from any participant at any time; no party, nor collusion of fewer than all of the parties can utter an undetectable forgery; no unilateral action on the part of any party can lessen the confidence of the others as to the authenticity of the data and finally third parties, that is, arbiters, can be logically persuaded of the authenticity of data. Thus, finally after nearly two decades of development a complete technical solution is in hand for the problem of trustworthy verification of treaty compliance.



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