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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Improved Identity Based Online/Offline Signature Scheme

[{u'author_order': 1, u'affiliation': u"Sch. of Inf. Eng., Chang'an Univ., Xi'an, China", u'full_name': u'Yang Ming'}, {u'author_order': 2, u'affiliation': u"State Key Lab. of Integrated Service Networks, Xidian Univ., Xi'an, China", u'full_name': u'Yumin Wang'}] 2010 7th International Conference on Ubiquitous Intelligence & Computing and 7th International Conference on Autonomic & Trusted Computing, None

Online/offline signatures are used in many applications where the signer must respond quickly once the message to be signed is presented. The idea is to split the signing process into two phases: The first phase is performed offline before the message to be signed is available and the second phase is performed online after the message to be signed is ...


On the capacity game of public watermarking systems

[{u'author_order': 1, u'affiliation': u'Dept. of Electr. Eng., Technion-Israel Inst. of Technol., Haifa, Israel', u'full_name': u'A. Somekh-Baruch'}, {u'author_order': 2, u'affiliation': u'Dept. of Electr. Eng., Technion-Israel Inst. of Technol., Haifa, Israel', u'full_name': u'N. Merhav'}] The 22nd Convention on Electrical and Electronics Engineers in Israel, 2002., None

Watermarking codes are analyzed as a game between two sets of players: an information hider and a decoder on the one hand, and an attacker on the other hand. The information hider is allowed to cause some tolerable level of distortion to the original data within which the message is hidden, and the resulting distorted data can suffer some additional ...


Improved Ring Signature Scheme Based on Hyper-Elliptic Curves

[{u'author_order': 1, u'affiliation': u"Key Lab. of Network & Inf. Security of the APF, Chinese Armed Police Force, Xi'an, China", u'full_name': u'Xuanwu Zhou'}] 2009 Second International Conference on Future Information Technology and Management Engineering, None

Ring signature has prominent superiorities in group managing and system efficiency compared with other group cryptosystem, such as group signature. Combining HCC (hyper-elliptic curves cryptosystem) and ring signature, we presented an improved ring signature scheme. The scheme avoids the operation of adding or deleting group members when the signer group has to be changed, and thus further simplify the protocol ...


An Approach to Improve Accuracy Rate of On-line Signature Verification Systems of Different Sizes

[{u'author_order': 1, u'affiliation': u'AiLeader Technologies - Recife - PE - Brazil', u'full_name': u'R. Araujo'}, {u'author_order': 2, u'affiliation': u'Federal University of Pernambuco, Centro de Informática, Recife - PE, Brazil', u'full_name': u'G. Cavalcanti'}, {u'author_order': 3, u'affiliation': u'Federal University of Pernambuco, Centro de Informática, Recife - PE, Brazil', u'full_name': u'E. Filho'}] Ninth International Conference on Document Analysis and Recognition (ICDAR 2007), None

This paper discusses the problem of size variation in on-line signature verification systems. The main idea of the article is to investigate the influence of the size variation in the feature extraction techniques and how this distortion can affect the final classification performance of the systems. In this study a new classification approach was suggested based on Kholmatov and Yanikoglu ...


An Efficient Detection Algorithm for Copy-Move Forgery

[{u'author_order': 1, u'affiliation': u'Dept. of Comput. Sci. & Inf. Eng., Chien Hsin Univ. of Sci. & Technol., Chungli, Taiwan', u'full_name': u'Chen-Ming Hsu'}, {u'author_order': 2, u'affiliation': u'Dept. of Electr. Eng., Chinese Naval Acad., Kaohsiung, Taiwan', u'full_name': u'Jen-Chun Lee'}, {u'author_order': 3, u'affiliation': u'Dept. of Comput. Sci. & Inf. Eng., Chien Hsin Univ. of Sci. & Technol., Chungli, Taiwan', u'full_name': u'Wei-Kuei Chen'}] 2015 10th Asia Joint Conference on Information Security, None

The most common method of tampering with a digital image is copy-move forgery, in which a part of an image is duplicated and used to substitute another part of the same image at a different location. In this paper, we present an efficient and robust method to detect such artifacts. First, the tampered image is segmented into overlapping fixed-size blocks, ...


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Educational Resources on Forgery

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eLearning

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IEEE-USA E-Books

  • 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.

  • 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.

  • 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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