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42 articles for “Fake detection”
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Detection of Counterfeit Indian Passport Using Image Processing
Abstract: AbstractThere are various identification documents for an Indian citizen; like adhaar card, ID card, passport, etc. Among them, passport is the primary identity verification document. It gives identity to a particular citizen on the global level. With passport, we can travel across the globe. We can live in another country. Hence it is necessary that it does not belong to any mischievous person. But with the advancement in the technology; …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 4, Issue 2, 2017 · pp. 1–3 Read article
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Deepfake Detection Using Resnext50
Abstract: Due to the recent advancements in Artificial Intelligence (AI), technologies it has led to the rapid development in the modification of audio, video, and image manipulation techniques. This AIgenerated media content is referred to as "Deep Fakes". AI-based tools can exploit and manipulate media in increasingly believable ways like super-imposing a person’s face on another person’s body or creating copies of a public person’s voice. A range of papers has …
Published in Journal Of Network security · Vol. 10, Issue 1, 2022 · pp. 39–45 Read article
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Behavioral Prediction of Network Attacks Using Honeypot Rules
Abstract: In this paper is presented an approach for behavioral prediction of network attacks usinghoneypot rules using support physical machine as a classification technique. Theproposed honeypot is used to trap delay and gather information about the attackers.These systems are centralized at a strategic point in the network and collect data into alog file that is subsequently analyzed as main vulnerability. Honeypots can generate thesignature with the help of attack classifier, and …
Published in Journal Of Network security · Vol. 2, Issue 1, 2014 · pp. 7–12 Read article
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Deep Analysis of the Banknote Identification and Counterfeit Detection
Abstract: The production of counterfeit paper currencies has become cheaper due to advancements in printing technologies and graphic design. The circulation of fake currencies negatively impacts a country’s economy. This paper aims to develop an intelligent system for detecting and categorizing counterfeit currencies, which also plays a significant role in the field of human–computer interaction (HCI). The paper delves into the history of counterfeit currencies and the development of techniques used …
Published in Journal Of Network security · Vol. 12, Issue 3, 2024 · pp. 13–17 Read article
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Decisive Video Fingerprinting Using Visual Regions
Abstract: AbstractIn this research paper we are trying to detect a video and generate a fingerprint of that video which is unique to that video then this fingerprint of video will help in detecting or comparing with other videos to find out whether it is original or not or is the video exists in our database this video fingerprinting technology will help us in copyright management and to curb piracy ,it …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 2, 2019 · pp. 41–44 Read article
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Recovering the History of Filtered JPEG Images for Forensic Detection
Abstract: The image editing software available today are apt for creating visually compelling and sophisticated fake images, which cause major issues to the reliability of digital contents as a right representation of reality. Authenticity is the main problem in most digital image communications. Various forensic techniques have been developed for the verification of image integrity, authentication, and tampering detection. Digital image forensics aims at finding the authenticity of images by recovering …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 3, Issue 2, 2016 · pp. 1–6 Read article
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Robustness of Deepfake Detection Systems Against Adversarial Attacks
Abstract: This paper explores a deep learning system to detect deepfake videos, a common type of fake media. With the use of sophisticated methods such as recurrent neural networks (RNNs) and convolutional neural networks (CNNs), our system can reliably discern between authentic and altered videos. It analyzes both the images and the audio in videos to find signs of deepfake manipulation. We process video frames and audio, extract features with CNNs …
Published in Journal of Instrumentation Technology & Innovations · Vol. 14, Issue 2, 2024 Read article
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A Trust-Enhanced Security Architecture for Authenticating Customer Records in Banking Institutions
Abstract: The growing digital disruption of banking and financial services has completely altered the face of customer onboarding, money transactions, and financial service deliveries. Even as digital technologies provide unparalleled levels of efficiency and accessibility for consumers of financial services, they have also presented new challenges that are equally daunting. Among the growing number of financial threats that digital technology has spawned is the risk of synthetic identity fraud. Unlike identity …
Published in Journal Of Network security · Vol. 14, Issue 1, 2026 · pp. 16–22 Read article
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Secure Forge: Deepfake Image Detection Using Vision Transformers
Abstract: Deepfake technologies have become a major risk to the credibility and trustworthiness of digital visual information. Using powerful generative models like GANs and autoencoders, deepfakes can generate highly realistic fake videos and images, resulting in misinformation, identity theft, and public loss of trust in digital media. Classic Convolutional Neural Networks (CNNs) while being highly effective in initial-stage, deepfake detection tend to be limited by their local receptive fields and dependency …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 3, 2025 · pp. 32–45 Read article
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An Overview of Spam Detection Techniques
Abstract: Spam is also known as unsolicited commercial email (UCE) has become a major worry for the internet's and worldwide commerce's long-term viability. Fake emails and other forgeries, such as phishing, are examples of spam emails. Which aim to collect confidential personal information about users on the network or to act illegally against authority. Spam produces a variety of issues, which can result in financial losses. Spam creates bottlenecks and traffic …
Published in Journal of Advancements in Robotics · pp. 1–7 Read article
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An Overview of Spam Detection Techniques
Abstract: Spam is also known as unsolicited commercial email (UCE) has become a major worry for the internet's and worldwide commerce's long-term viability. Fake emails and other forgeries, such as phishing, are examples of spam emails. Which aim to collect confidential personal information about users on the network or to act illegally against authority. Spam produces a variety of issues, which can result in financial losses. Spam creates bottlenecks and traffic …
Published in Journal of Advancements in Robotics · Vol. 9, Issue 1, 2022 · pp. 1–7 Read article
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Boundry Based Detection and Prevantion of Sink Hole Attacks in MANET
Abstract: Wireless Sensor network is comprised of huge amount of small cost minimal power sensor nodes. The flexibility of wireless sensor networks makes them very attractive to attackers. Wireless sensor networks face resource constraints containing limits on the memory capacity, communication, power and computational power. Also, since they are frequently organized in unfriendly atmospheres and left unattended, they are vulnerable to numerous attacks. One of the major well known and severe …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 2, Issue 3, 2015 · pp. 26–35 Read article
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Detecting Phishing Websites Using Hybrid Methodologies
Abstract: In the digital era, personal information theft has become a widespread and increasingly severe crime. Cybercriminals, often known as hackers, use deceptive strategies, with phishing websites being a major method for stealing confidential data. These fake websites imitate legitimate ones, tricking users into revealing sensitive personal and financial information, which has led to a rise in fraud cases. To address this escalating threat, a comprehensive research paper is proposed. This …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 3, 2024 · pp. 59–65 Read article
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To Detect and Overcome Sinkhole Attack in Mobile Ad-hoc Network
Abstract: Mobile ad-hoc network abbreviated as MANET is most emerging and highly demanding wireless network technology. Due to the property of self-deliberate, where all points of network behave like source or router and also, all nodes keep on moving freely in network area. Mobile ad hoc network performs important role in connectionless environment. Security is the most fundamental requirement in mobile ad hoc network to secure the sensitive information from hackers. …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 2, Issue 3, 2015 · pp. 1–8 Read article
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Integrating QR Code and Blockchain Technologies for Enhanced Authenticity and Traceability of Products
Abstract: The counterfeiting of products is a significant challenge faced by the retail market today. Various methods such as RFID tags, machine learning, artificial intelligence, and QR code-based systems have been employed to combat counterfeiting, but they all have some drawbacks. For instance, QR codes can be copied from genuine products to fake ones, and AI and machine learning require high computational power. To address this issue, we propose using blockchain …
Published in Journal of Advanced Database Management & Systems · Vol. 10, Issue 1, 2023 · pp. 6–11 Read article
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Innovations in Forensic Imaging: Leveraging Deep Learning for Authenticity Verification
Abstract: The advent of digital media has necessitated advancements in forensic imaging, especially for the detection and verification of image authenticity. In this context, digital image forensics plays a critical role in identifying manipulated or counterfeit images. This paper presents a new method that uses deep learning techniques to enhance image forgery detection. The approach utilizes a convolutional neural network (CNN) to automatically learn and recognize the intricate features present in …
Published in Journal of Advances in Shell Programming · Vol. 11, Issue 2, 2024 · pp. 28–33 Read article
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An Eccentric Approach For Spoofing Bother Detection
Abstract: AbstractSpoofing is a special type of network bother where the bother creates a replica of an existing web page to fool users into submitting personal, financial, or password data to what they think is their service provider’s web site. This proposed work is to find a new anti-spoofing algorithm for LGA (link guard) and DSA, which is filtering the spoofing characters in the websites of the hyperlinks in spoofing bothers. …
Published in Journal of Advances in Shell Programming · Vol. 4, Issue 2, 2017 · pp. 5–9 Read article
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A Survey on AODV Approach for Efficient Detection and Mitigation of Wormhole Attack in MANET
Abstract: A Mobile Ad-Hoc Network (MANET) is a foundation significantly less or a self-designed aggregating of mobile nodes that can aimlessly control their geographic places such that those networks have dynamic topologies and random mobility with restricted assets. A few attackers attack on MANET to adjust packets and break the connections sooner or later of communiqué. Wormhole attack is one of the active internal attacks in which or extra attacker nodes …
Published in Recent Trends in Parallel Computing · Vol. 5, Issue 1, 2018 · pp. 7–14 Read article
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Smart Pothole Reporting Based on Deep-Learning
Abstract: In India, due to rage of rains and poor-quality construction the Indian state governments are facing the pothole and cracked road issues. The government is not able to assist faster to the people due to poor communication between people and govt. So, there exists a system which uses convolutional neural network (CNN) to detect the potholes. The peculiarity of this system is that it will process the pothole image reported …
Published in Journal of Mechatronics and Automation · Vol. 7, Issue 3, 2020 · pp. 21–27 Read article
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Intrusion Detection System Using Honeyword
Abstract: We proposed a most accurate and best method for improving the security of hashed passwords by providing of additional “honeywords” (false passwords) associated with each user’s account. An adversary who wants to steals a file of hashed passwords and inverts the hash function cannot tell if he has found the password or a honeyword. An auxiliary server (the “Honeychecker”) can distinguish the user password from honeywords for the login routine, …
Published in Journal Of Network security · Vol. 8, Issue 2, 2020 · pp. 24–32 Read article