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Insights into Manipulation: Unveiling Tampered Images Using Modified ELA, Deep Learning, and Explainable AI

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Journal of Computer and communications 2024年第6期12卷 135-151页

作者： Md. Mehedi Hasan Md. Masud Rana Abu Sayed Md. Mostafizur Rahaman Department of Information and communication Technology Bangladesh University of Professionals Dhaka Bangladesh Department of Computer Science and Engineering Jahangirnagar University Dhaka Bangladesh

digital image forgery (DIF) is a prevalent issue in the modern age, where malicious actors manipulate images for various purposes, including deception and misinformation. Detecting such forgeries is a critical task for maintaining the integrity of digital content. This thesis explores the use of Modified Error Level Analysis (ELA) in combination with a Convolutional Neural Network (CNN), as well as, Feedforward Neural Network (FNN) model to detect digital image forgeries. Additionally, incorporation of Explainable Artificial Intelligence (XAI) to this research provided insights into the process of decision-making by the models. The study trains and tests the models on the CASIA2 dataset, emphasizing both authentic and forged images. The CNN model is trained and evaluated, and Explainable AI (SHapley Additive exPlanation— SHAP) is incorporated to explain the model’s predictions. Similarly, the FNN model is trained and evaluated, and XAI (SHAP) is incorporated to explain the model’s predictions. The results obtained from the analysis reveals that the proposed approach using CNN model is most effective in detecting image forgeries and provides valuable explanations for decision interpretability.

关键词： IFD DIF ELA CNN FNN XAI SHAP CASIA2.0

10 Gb/s classical secure key distribution based on temporal steganography and private chaotic phase scrambling

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Photonics Research 2024年第2期12卷 321-330页

作者： ZHENSEN GAO ZHITAO DENG LIHONG ZHANG XULIN GAO YUEHUA AN ANBANG WANG SONGNIAN FU ZHAOHUI LI YUNCAI WANG YUWEN QIN School of Information Engineering Guangdong University of TechnologyGuangzhou 510006China Pengcheng laboratory Shenzhen 518062China Key laboratory of Photonic Technology for Integrated communication and Sensing Ministry of EducationGuangzhou 510006China School of Optoelectronic Engineering Guangdong Polytechnic Normal UniversityGuangzhou 510665China School of Electrical and Information Technology Sun Yat-sen UniversityGuangzhou 510006China

Secure distribution of high-speed digital encryption/decryption keys over a classical fiber channel is strongly pursued for realizing perfect secrecy communication ***,it is still challenging to achieve a secret key rate in the order of tens of gigabits per second to be comparable with the bit rate of commercial fiber-optic *** this paper,we propose and experimentally demonstrate a novel solution for high-speed secure key distribution based on temporal steganography and private chaotic phase scrambling in the classical physical *** encryption key is temporally concealed into the background noise in the time domain and randomly phase scrambled bit-by-bit by a private chaotic signal,which provides two layers of enhanced security to guarantee the privacy of key distribution while providing a high secret key *** experimentally achieved a record classical secret key rate of 10 Gb/s with a bit error rate lower than the hard-decision forward error correction(HD-FEC)over a 40 km standard single mode *** proposed solution holds great promise for achieving high-speed key distribution in the classical fiber channel by combining steganographic transmission and chaotic scrambling.

关键词： chaotic distribution phase

Artificial intelligence in physiological characteristics recognition for internet of things authentication

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digital communications and Networks 2024年第3期10卷 740-755页

作者： Zhimin Zhang Huansheng Ning Fadi Farha Jianguo Ding Kim-Kwang Raymond Choo School of Computer and communication Engineering University of Science and Technology BeijingBeijing100083China Beijing Engineering Research Center for Cyberspace Data Analysis and Applications Beijing100083China Faculty of Informatics Engineering Aleppo UniversityAleppoSyria Department of Computer Science Blekinge Institute of Technology37179KarlskronaSweden Department of Information Systems and Cyber Security University of Texas at San AntonioSan AntonioTX78249-0631USA

Effective user authentication is key to ensuring equipment security,data privacy,and personalized services in Internet of Things(IoT)***,conventional mode-based authentication methods(e.g.,passwords and smart cards)may be vulnerable to a broad range of attacks(e.g.,eavesdropping and side-channel attacks).Hence,there have been attempts to design biometric-based authentication solutions,which rely on physiological and behavioral *** characteristics need continuous monitoring and specific environmental settings,which can be challenging to implement in ***,we can also leverage Artificial Intelligence(AI)in the extraction and classification of physiological characteristics from IoT devices processing to facilitate ***,we review the literature on the use of AI in physiological characteristics recognition pub-lished after *** use the three-layer architecture of the IoT(i.e.,sensing layer,feature layer,and algorithm layer)to guide the discussion of existing approaches and their *** also identify a number of future research opportunities,which will hopefully guide the design of next generation solutions.

关键词： Physiological characteristics recognition Artificial intelligence Internet of things Biological-driven authentication

digital generation of super-Gaussian perfect vortex beams via wavefront shaping with globally adaptive feedback

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High Power Laser Science and Engineering 2024年第1期12卷 42-51页

作者： Rui Ma Ke Hai Luo Jing Song He Wei Li Zhang Dian Yuan Fan Anderson S.L.Gomes Jun Liu International Collaborative laboratory of 2D Materials for Optoelectronics Science and Technology of Ministry of Education Institute of Microscale OptoelectronicsShenzhen UniversityShenzhenChina Institute for Advanced Study Shenzhen UniversityShenzhenChina Fiber Optics Research Centre School of Information and Communication EngineeringUniversity of Electronic Science and Technology of ChinaChengduChina Departamento de Física Universidade Federal de PernambucoRecife-PEBrazil

High-intensity vortex beams with tunable topological charges and low coherence are highly demanded in applications such as inertial confinement fusion(ICF) and optical communication. However, traditional optical vortices featuring nonuniform intensity distributions are dramatically restricted in application scenarios that require a high-intensity vortex beam owing to their ineffective amplification resulting from the intensity-dependent nonlinear effect. Here, a low-coherence perfect vortex beam(PVB) with a topological charge as high as 140 is realized based on the super-pixel wavefront-shaping technique. More importantly, a globally adaptive feedback algorithm(GAFA) is proposed to efficiently suppress the original intensity fluctuation and achieve a flat-top PVB with dramatically reduced beam speckle contrast. The GAFA-based flat-top PVB generation method can pave the way for high-intensity vortex beam generation,which is crucial for potential applications in ICF, laser processing, optical communication and optical trapping.

关键词： digital micromirror device flat-top beam orbital angular momentum perfect vortex beam random fiber laser

Outage Analysis of Optimal UAV Cooperation with IRS via Energy Harvesting Enhancement Assisted Computational Offloading

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Computer Modeling in Engineering & Sciences 2024年第2期138卷 1885-1905页

作者： Baofeng Ji Ying Wang Weixing Wang Shahid Mumtaz Charalampos Tsimenidis School of Information Engineering Henan University of Science and TechnologyLuoyang471000China Research and Innovation Center of Intelligent System Longmen LaboratoryLuoyang471000China State Key laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System(CEMEE) Luoyang471000China Sustainable digital communications and Energy Systems(DIGCOM)Group Nottingham Trent UniversityNottinghamUK

The utilization of mobile edge computing(MEC)for unmanned aerial vehicle(UAV)communication presents a viable solution for achieving high reliability and low latency *** study explores the potential of employing intelligent reflective surfaces(IRS)andUAVs as relay nodes to efficiently offload user computing tasks to theMEC server system ***,the user node accesses the primary user spectrum,while adhering to the constraint of satisfying the primary user peak interference ***,the UAV acquires energy without interrupting the primary user’s regular communication by employing two energy harvesting schemes,namely time switching(TS)and power splitting(PS).The selection of the optimal UAV is based on the maximization of the instantaneous signal-to-noise ***,the analytical expression for the outage probability of the system in Rayleigh channels is derived and *** study investigates the impact of various system parameters,including the number of UAVs,peak interference power,TS,and PS factors,on the system’s outage performance through *** proposed system is also compared to two conventional benchmark schemes:the optimal UAV link transmission and the IRS link *** simulation results validate the theoretical derivation and demonstrate the superiority of the proposed scheme over the benchmark schemes.

关键词： Unmanned aerial vehicle(UAV) intelligent reflective surface(IRS) energy harvesting computational offloading outage probability

油墨粘度对卷对卷印刷有机光活性层的油墨转移速率和薄膜缺陷的影响机理

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Science China Materials 2024年第8期67卷 2600-2610页

作者：刘媛琪王振国潘雅琴刘天宇张亚宾张青莫黎昕骆群马昌期 Beijing Engineering Research Center of Printed Electronics Beijing Institute of Graphic CommunicationBeijing 102600China i-lab&Printable Electronics Research Center Suzhou Institute of Nano-Tech and Nano-BionicsChinese Academy of Sciences(CAS)Suzhou 215123China Vacuum Interconnected Nanotech Workstation(Nano-X) Suzhou Institute of Nano-Tech and Nano-Bionics of Chinese Academy of Sciences(CAS)Suzhou 215123China

卷对卷(R2R)凹版印刷具有高的边缘分辨率、可图案化、高加工速度等优势,是制备大面积柔性有机太阳能电池(FOSCs)的一种可行技术.有机光活性层的薄膜质量是决定有机太阳能电池器件性能的关键.对于凹版印刷过程而言,墨水的转移是影响印刷... 详细信息

卷对卷(R2R)凹版印刷具有高的边缘分辨率、可图案化、高加工速度等优势,是制备大面积柔性有机太阳能电池(FOSCs)的一种可行技术.有机光活性层的薄膜质量是决定有机太阳能电池器件性能的关键.对于凹版印刷过程而言,墨水的转移是影响印刷薄膜厚度和质量的关键.本文深入研究了有机光活性层的墨水粘度对墨水转移率和薄膜缺陷的影响.我们开发了紫外可见光谱法,量化凹版印刷过程中墨水的转移率.通过对墨水的流变行为分析、流体动力学模拟和实验验证,深入研究了油墨粘度与油墨转移率、膜厚和膜均匀性之间的关系.结果表明,油墨粘度约为25 m Pa·s是R2R凹版印刷有机光活性层薄膜的适合粘度.通过对油墨配方的优化,我们制备了全R2R印刷FOSCs,其中1 cm^(2);电池的效率超过12%.

关键词：凹版印刷油墨粘度油墨转移率有机太阳能电池油墨配方紫外可见光谱法流体动力学模拟活性层

Research and design of CRT-based homomorphic ciphertext database system

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High-Confidence Computing 2022年第4期2卷 1-7页

作者： De Zhao Zhenzhen Li Haiyang Ding Zhenzhen Zhang Zichen Li College of Information Engineering Beijing Institute of Graphic CommunicationBeijingChina digital Copyright Protection Technology Research Center Beijing Institute of Graphic CommunicationBeijingChina

The cloud’s storage and query of private information have the cryptographic scholar due to the proliferation of cloud *** the traditional query mode,the private information stored in the cloud is at risk of being *** order to solve this problem,a cloud ciphertext database system based on homomorphic encryption is a valid *** paper presents a new cloud ciphertext database system model,which is based on the existing ciphertext database mode research and homomorphic *** paper also implements a ciphertext database system based on a CRT-based additive homomorphic scheme according to the *** theoretical analysis,the model is CPA-level safe and *** experimental results show that users can correctly query and download the data in the ciphertext database on the untrusted cloud server through the model,and it has efficiency advantages.

关键词： Ciphertext database Homomorphic encryption Chinese remainder theorem

Research on the Collaborative Governance of Social Responsibility in Online Audiovisual Enterprises

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Social Networking 2024年第1期13卷 1-13页

作者： Chuying Kang Muhammad Zaffwan Idris Juan Liu Faculty of Art Sustainability & Creative Industry University Pendidikan Sultan Idris Tanjung Malim Malaysia Faculty of Journalism and communication Henan University of Technology Zhengzhou China

This paper aims to analyze the present conditions of the social responsibility ecosystem in online audiovisual enterprises in the digital age. It focuses on the governance of social responsibility in these enterprises and conducts an in-depth analysis of the problems and influencing factors related to the social responsibility aberrations of online audiovisual enterprises. Drawing upon social responsibility theory and collaborative governance theory, this research constructs a social responsibility guidance and governance system guided by the public, supported by the voluntary fulfillment of responsibilities by online audiovisual enterprises, and based on the collaborative participation of diverse stakeholders. It explores and optimizes the implementation pathways of this system, providing theoretical support and practical guidance for promoting the sustainable development of online audiovisual enterprises. Furthermore, it aims to contribute to the creation of a harmonious Internet ecosystem.

关键词： Online Audiovisual Enterprises Social Responsibility Collaborative Governance

Image Splicing Forgery Detection Using Feature-Based of Sonine Functions and Deep Features

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Computers, Materials & Continua 2024年第1期78卷 795-810页

作者： Ala’a R.Al-Shamasneh Rabha W.Ibrahim Department of Computer Science College of Computer&Information SciencesPrince Sultan UniversityRiyadh11586Saudi Arabia Department of Computer Science and Mathematics Lebanese American UniversityBeirut11022801Lebanon Department of Mathematics Mathematics Research CenterNear East UniversityNicosia99138Turkey Information and communication Technology Research Group Scientific Research CenterAlayen UniversityDhi Qar64001Iraq

The growing prevalence of fake images on the Internet and social media makes image integrity verification a crucial research *** of the most popular methods for manipulating digital images is image splicing,which involves copying a specific area from one image and pasting it into *** were made to mitigate the effects of image splicing,which continues to be a significant research *** study proposes a new splicing detectionmodel,combining Sonine functions-derived convex-based features and deep *** stages make up the proposed *** first step entails feature extraction,then classification using the“support vector machine”(SVM)to differentiate authentic and spliced *** proposed Sonine functions-based feature extraction model reveals the spliced texture details by extracting some clues about the probability of image *** proposed model achieved an accuracy of 98.93% when tested with the CASIA V2.0 dataset“Chinese Academy of Sciences,Institute of Automation”which is a publicly available dataset for forgery *** experimental results show that,for image splicing forgery detection,the proposed Sonine functions-derived convex-based features and deep features outperform state-of-the-art techniques in terms of accuracy,precision,and ***,the obtained detection accuracy attests to the benefit of using the Sonine functions alongside deep feature *** the regions or locations where image tampering has taken place is limited by the *** research will need to look into advanced image analysis techniques that can offer a higher degree of accuracy in identifying and localizing tampering regions.

关键词： Image forgery image splicing deep learning Sonine functions