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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Multi-matcher on-line signature verification in DWT domain

[{u'author_order': 1, u'affiliation': u'Fac. of Regional Sci., Tottori Univ., Japan', u'full_name': u'I. Nakanishi'}, {u'author_order': 2, u'full_name': u'H. Sakamoto'}, {u'author_order': 3, u'full_name': u'N. Nishiguchi'}, {u'author_order': 4, u'full_name': u'Y. Itoh'}, {u'author_order': 5, u'full_name': u'Y. Fukui'}] IEEE International Symposium on Communications and Information Technology, 2004. ISCIT 2004., None

The paper presents a multi-matcher on-line signature verification system which fuses the verification scores in the pen-position parameter and the pen- movement angle parameter at the decision level. The pen-position parameter consists of horizontal, x, and vertical, y, coordinates, and the pen-movement angle parameter is derived from the pen-position parameter. Features of pen- position and pen-movement angle are extracted by ...


On Homomorphic Signatures for Network Coding

[{u'author_order': 1, u'affiliation': u'University of Minnesota, Minneapolis', u'full_name': u'Aaram Yun'}, {u'author_order': 2, u'affiliation': u'Seoul National University, Seoul', u'full_name': u'Jung Hee Cheon'}, {u'author_order': 3, u'affiliation': u'University of Minnesota, Minneapolis', u'full_name': u'Yongdae Kim'}] IEEE Transactions on Computers, 2010

In this paper, we examine homomorphic signatures that can be used to protect the integrity of network coding. In particular, Yu et al. proposed an RSA- based homomorphic signature scheme recently for this purpose. We show that their scheme in fact does not satisfy the required homomorphic property, and further, even though it can be fixed easily, still it allows ...


Automatic Detection of Object-Based Forgery in Advanced Video

[{u'author_order': 1, u'affiliation': u'School of Information Science and Technology, Sun Yat-sen University, Guangzhou, China', u'full_name': u'Shengda Chen'}, {u'author_order': 2, u'affiliation': u'College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China', u'full_name': u'Shunquan Tan'}, {u'author_order': 3, u'affiliation': u'Shenzhen Key Laboratory of Media Security, Shenzhen, China', u'full_name': u'Bin Li'}, {u'author_order': 4, u'affiliation': u'Shenzhen Key Laboratory of Media Security, Shenzhen, China', u'full_name': u'Jiwu Huang'}] IEEE Transactions on Circuits and Systems for Video Technology, 2016

Passive multimedia forensics has become an active topic in recent years. However, less attention has been paid to video forensics. Research on video forensics, and especially on automatic detection of object-based video forgery, is still in its infancy. In this paper, we develop an approach for automatic identification and forged segment localization of object-based forged video encoded with advanced frameworks. ...


Weaknesses and drawbacks of a password authentication scheme using neural networks for multiserver architecture

[{u'author_order': 1, u'affiliation': u'Dept. of Comput. Sci. & Inf. Eng., Fu Jen Catholic Univ., Taipei, Taiwan', u'full_name': u'Wei-Chi Ku'}] IEEE Transactions on Neural Networks, 2005

In 2001, Li et al. proposed a password authentication scheme for the multiserver architecture by using a pattern classification system based on neural networks. Herein, we demonstrate that Li et al.'s scheme is vulnerable to an offline password guessing attack and a privileged insider's attack, and is not reparable. Additionally, we show that Li et al.'s scheme has several drawbacks ...


A Timestamped Signature Scheme with Message Recovery

[{u'author_order': 1, u'affiliation': u'Department of Computer Science and Engineering, National Institute of Technology, Rourkela, India', u'full_name': u'Sujata Mohanty'}, {u'author_order': 2, u'affiliation': u'Department of Computer Science and Engineering, National Institute of Technology, Rourkela, India', u'full_name': u'Pothuri Bhanu Sai pavan kumar'}, {u'author_order': 3, u'affiliation': u'Department of Computer Science and Engineering, National Institute of Technology, Rourkela, India', u'full_name': u'Kodavatikanti Hanok'}] 2014 International Conference on High Performance Computing and Applications (ICHPCA), None

We propose a timestamped signature scheme which can be verified universally using signer's public parameters. A trusted third party, the Time-Stamping System provides timestamp to a signature without even knowing the content of the document. The proposed scheme can withstand active attacks, such as forgery attack and chosen cipher text attack. It also provides the message recovery feature, i.e., from ...


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Educational Resources on Forgery

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eLearning

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IEEE-USA E-Books

  • 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.

  • 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.

  • Anti-Forensics of Multimedia Data and Countermeasures

    This chapter focuses on the specific case of anti-forensics of image and video content. It first reviews the anti-forensic techniques proposed in the literature so far. Next, the chapter analyzes one particular example, namely, the antiforensics of JPEG compression fingerprints. It shows how this anti- forensic technique can be detected with anti-forensic countermeasures. It presents a simple and effective anti-forensic technique to eliminate statistical fingerprints of JPEG compression, which is by far the most popular coding tool for images. The chapter now focuses on the JPEG compression technique, and discusses its side effects in terms of visible noise on the tampered image. Finally, it explains how anti-forensic techniques can be evaluated with respect to forensic detectors, and illustrates how the interplay between the forger and the forensic analyst can be cast in a game- theoretical framework.

  • 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.



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