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20 articles for “Deception”
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Masters of Deception: A Group That Ruled Cyberspace
Abstract: While widely used, the term hacker is not always applied as it should be. In the hacking community in particular, there can be stark divisions between hackers - people immensely skilled at navigating computer systems and diagnosing security flaws - and crackers - those who use their hacking knowledge for malicious gain. This same dichotomy is sometimes represented by the terms white hat and black hat. A white hat hacker, …
Published in Recent Trends in Programming languages · Vol. 1, Issue 3, 2014 · pp. 1–3 Read article
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A Massive Production to the Era of Technology by Social Bots Combating Fake News on Digital Platforms
Abstract: Social networks have revolutionized communication, enabling individuals to connect with a broader audience and express their opinions freely. However, this unprecedented accessibility also opens doors to potential challenges, such as the unintentional spread of misinformation. In this study, we delve into the mechanisms behind the generation of false information and present a thought-provoking vision of a future where social bots autonomously evolve into semantic webs, inundating media platforms with fabricated …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 10, Issue 2, 2023 · pp. 1–8 Read article
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IntelliGaurd WebScan: Uncovering Dark Patterns on E-Commerce Websites
Abstract: Dark patterns are deceptive design elements that influence user behavior online, frequently with unexpected results that go beyond personal experiences. These deceptive methods unintentionally encourage excessive consumption, which can seriously impede sustainability initiatives. This paper presents IntelliGuard WebScan, a system created specially to identify and combat these dishonest strategies. Employing painstaking examinations and assessment of heterogeneous datasets and rigorous experimentation with multiple algorithms, among them a support vector classifier (SVC), …
Published in E-Commerce for Future & Trends · Vol. 11, Issue 3, 2024 · pp. 24–32 Read article
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Comparative Analysis of a Lie Detector using Support Vector Machine, Naive Bayes, and Random Forest Algorithm with Speech to Text Conversion
Abstract: Lie detection, additionally known as deception detection, uses questioning techniques to determine truth and falsehood in response. Physiological responses like vital sign, blood pressure, heartbeat, and respiratory rate are used to discriminate between truth and lie. Once we lie, our blood pressure goes up, our heart beats quicker, we have a tendency to breathe faster (and our breathing slows once the lie has been told), and changes occur in our …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 9, Issue 1, 2021 · pp. 13–18 Read article
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Nature in Romantic Poetry: “Tintern Abbey” by Wordsworth
Abstract: The poetry of the English Romantic period contains many descriptions and ideas of nature”. (Sofi 81) but before discussing the notion of nature in Romantic poetry, it is a good idea to take a look at poetry in previous ages such as New Classicism. Poetry in New Classicism was looked as a mirror. This heritage came to them from Plato. Plato believed that art is like mirror. He said Art …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 13, Issue 2, 2023 · pp. 7–12 Read article
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Card Fraud Detection Using Artificial Neural Network and Multilayer Perception Algorithm
Abstract: Fraud has posed a significant challenge for merchants, especially in the online business sector, over the course of many years. This is primarily due to the advancements in technology that have made credit card transactions a common method of payment. Credit card fraud refers to the unauthorized use of a credit card by an individual for personal purposes, without the owner's consent and with no intention of paying for the …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 1, Issue 1, 2023 · pp. 21–30 Read article
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Analysis of an Awareness Program of Cyber Security in PIET, Jaipur: A Systematic Survey
Abstract: This paper presents an analysis on what the students and the new generation think an out cyber security after learning about cyber-crimes and security in an awareness program. Our knowledge of technology has dramatically increased in the past five decades, as a result it also gave us a new type of threat, cyber-threats. Through smartphones and computers, life has become easy both for individuals and big organizations. Therefore, we must …
Published in International Journal of Information Security Engineering · Vol. 2, Issue 1, 2024 · pp. 1–9 Read article
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Detecting Fake Accounts on Social Media Using Machine Learning
Abstract: The growing frequency of fake accounts on social media platforms underscores the critical necessity for effective detection methods. In response to this challenge, our study leverages state-of-the-art machine learning techniques to identify and counter deceptive entities effectively. By conducting a thorough analysis of social media data, our approach unveils intricate patterns indicative of fraudulent accounts, enabling proactive measures against them. Through the application of advanced algorithms, we present a comprehensive …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 11, Issue 2, 2024 · pp. 21–32 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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An Analysis of Multimodal Fusion in Deepfake Detection for Video Samples
Abstract: In today’s rapidly evolving digital landscape, deepfake technology stands as both a marvel and a threat to privacy and security. Deepfakes, hyper-realistic synthetic media created using artificial intelligence (AI), can deceive and manipulate on an unprecedented scale, from political propaganda to compromising videos of public figures. This research navigates deepfake detection, focusing on two advanced methodologies: the vision transformers (ViT) image classifier and the Meso4 method. The ViT model utilizes …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 11, Issue 3, 2024 · pp. 19–27 Read article
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Detection of Phishing Website URLs and Email/SMS Using Random Forest and Multinomial Naive Bayes
Abstract: Currently, phishing attacks via SMS/email and URL have become significant threat to cybersecurity, posing risks to both individuals and organizations alike. Phishing attacks typically involve the creation of fraudulent websites or the dissemination of deceptive emails and SMS messages to trick users into disclosing sensitive information such as passwords, credit card numbers or personal details. To respond to these attacks, we develop a robust system for the detection of phishing …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 22–30 Read article
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Enhancing Facial Recognition: Assessing CNNs for Detecting Image Manipulation
Abstract: Deepfake technology, powered by highly advanced deep learning models, has raised significant concerns regarding media manipulation, identity theft, and the spread of online disinformation. Due to the increasing sophistication of deepfake content, traditional forensic methods often fail to detect such artificially generated images with high accuracy. Consequently, deep learning-based approaches have become essential in combating this challenge. This study compares six prominent deep learning architectures: VGG16, ResNet50, MobileNetV2, InceptionV3, EfficientNetB0, …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 2, 2025 · pp. 27–36 Read article
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An Analysis of Stoic Characters from the Lies I Tell by Julie Clark
Abstract: The research delves into the analysis of stoic characters from The Lies I Tell in various perspectives. The argument rests on those character's specific characteristics of being a stoic person and following the philosophies of the stoic human. Using a literary-philosophical approach, the analysis explores how both protagonists demonstrate the stoic ideal in distinct ways. Meg Williams, in her calculated acts of retribution, exhibits controlled reasoning and a deep, though …
Published in Emerging Trends in Languages · Vol. 3, Issue 1, 2026 · pp. 8–12 Read article
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Cybersecurity in a Digital World: Risks and Future Perspectives
Abstract: The field of information security offers a wide range of guidance in academic and practitioner literature. While various strategies such as deterrence, deception, detection, and reaction are explored, most research focuses on technological countermeasures to prevent security threats. This study presents the findings of a qualitative study conducted in Korea, examining how businesses utilize security techniques to safeguard their information systems. The results highlight a strong emphasis on preventive measures, …
Published in Journal Of Network security · Vol. 13, Issue 3, 2025 · pp. 44–49 Read article
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Fraud Detection in Government Procurement Using Machine Learning
Abstract: Fraud represents a significant challenge in the realm of procurement, with estimates indicating that between 12 and 30% of global procurement budgets are lost to fraudulent activities (OECD, 2023). The pervasive nature of procurement fraud, which may encompass a range of deceptive practices such as bid rigging, invoice fraud, and procurement kickbacks, not only undermines the integrity of financial operations but also results in substantial losses for organizations. These losses …
Published in Journal of Open Source Developments · Vol. 12, Issue 2, 2025 · pp. 19–34 Read article
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Fake Product Detection Using Convolutional Neural Networks
Abstract: The widespread circulation of counterfeit products in global markets presents a significant threat to both consumer trust and the integrity of established brands. With the advancement of artificial intelligence, particularly deep learning, there is growing potential to develop more sophisticated systems to combat this issue. This study introduces a novel counterfeit detection framework using the VGG16 Convolutional Neural Network (CNN) to distinguish between authentic and counterfeit products through image analysis. …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 3, Issue 2, 2025 · pp. 08–15 Read article
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A Case Study of Free Space Optic Performance Using Simulation Tools – OptSim
Abstract: ABSTRACTFree space optics (FSO) has received a great deal of attention lately both in the military and civilian information society due to its potentially high capacity, rapid deployment, portability and high security from deception and jamming. A proper understanding of optical signal propagation in different atmospheric conditions has become essential, and thus there arises the need to rationalize the effects of atmospheric channel on terrestrial FSO links. This paper studies …
Published in Trends in Opto-electro & Optical Communication · Vol. 1, Issue 1-3, 2011 · pp. 1–7 Read article
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A Comparative Study to Assess the Knowledge Regarding Food Adulteration, its Detection and to Create Awareness among Homemakers Regarding Food Safety Standards in Selected Rural and Urban Community of Drug District, Chhattisgarh
Abstract: Health is wealth; happiness lies in the health of man. Good health helps to develop charm, grace and happy mind. Florence Nightingale recognizes the radically changed outcomes by addressing clean water, nourishing food, light and fresh air. Good nutritive food plays very vital role in maintaining proper health and also helps in prevention and cure of diseases. All body functions like metabolic, hormonal, mental, physical or chemical cannot be performed …
Published in Journal of Nursing Science & Practice · Vol. 9, Issue 1, 2019 · pp. 50–70 Read article
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Performance Evaluation of Battery Electric Vehicles – A Computational Study
Abstract: Technological innovations have brought significant developments in internal combustion engine-powered automotive vehicles. With the automotive population explosion, issues of fossil fuel crisis and environmental degradation are enticing the researchers to divert focus on alternate fuels and alternate power sources to keep the automotive industry alive. Owing to global warming and associated pollution hazards, many nations are imposing stringent emission norms. To meet the target zero emission levels, researchers are seriously …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 3, Issue 1, 2012 · pp. 51–65 Read article
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Cotton Diseases (verticillium dahlia) and Its Solutions by Using Different Techniques
Abstract: Cotton is imperative economically crop for diverse countries and play critical role in economy of any countries. Cotton is threatened by frequent reasons like pests and pathogen disease and preventing the plant growth. Cotton is implanting all over the world, like in central and eastern Asia, southern United States, West Africa, Brazil, India, China, and Australia, which is a cotton fiber exporter. India, China, Pakistan, and USA, which is a …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 25, Issue 1, 2023 · pp. 24–37 Read article