Towards Deep-Learning-Driven Intrusion Detection for the Internet of Things by Geethapriya Thamilarasu, Shiven Chawla

“…When attacks on IoT networks go undetected for longer periods, it affects availability of critical systems for end users, increases the number of data breaches and identity theft, drives up the costs and impacts the revenue. …”
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Leveraging Machine Learning for Fraudulent Social Media Profile Detection by Ramdas Soorya, Agnes Neenu N. T.

“…Fake social media profiles are responsible for various cyber-attacks, spreading fake news, identity theft, business and payment fraud, abuse, and more. …”
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Personalized Privacy Assistant: Identity Construction and Privacy in the Internet of Things by Kai-Chih Chang, Suzanne Barber

“…We build a statistical model to simulate the identity theft and to help calculate the privacy risk score based on the identity attributes collected by IoT devices. …”
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Honour among (cyber)thieves? by Lusthaus, J

“…Illicit enterprises now range enormously in scope from identity theft and fraud to blackmail and extortion to intellectual property violations and spam among others. …”

Anti-spoofing method for fingerprint recognition using patch based deep learning machine by Uliyan, Diaa Mohammed, Sadeghi, Somayeh, Jalab, Hamid Abdullah

“…Today's with increasing identity theft, biometric systems based on fingerprints have a growing importance in protection and access restrictions. …”

Gait feature based on human identification & classification by using artificial neural network and project management approaches for its implementation by Tariq, Waqar, Daud, Muhammad Lutfi, Akhtar, Shameem, Tariq, Fareeha

“…With the increased threat of terrorism and identity theft, human recognition is one of the basic elements of present era’s security applications installed in commercial malls, banks, hospitals, military installations, airports, religious places etc. …”

New hybrid features for phish website prediction by Zuhair, H., Selamat, A., Salleh, M.

“…Phishing is a serious threat to the web economy and the Internet communication, because phishers put both users and organizations at risk of identity theft and financial losses. Phishers continually exploit new sophisticated features to impersonate legitimate web pages, modify their components and host their phishes. …”

Hybrid features-based prediction for novel phish websites by Zuhair, H., Salleh, M., Selama, A.

“…Phishers frequently craft novel deceptions on their websites and circumvent existing anti-phishing techniques for insecure intrusions, users’ digital identity theft, and then illegal profits. This raises the needs to incorporate new features for detecting novel phish websites and optimizing the existing anti-phishing techniques. …”
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Information Management Security Vulnerabilities in Smartphones Used by University Students: A Case Study in the Southwest of Colombia by Cristian-Camilo Ordoñez-Quintero, Hugo-Armando Ordoñez-Eraso, Jose-Armando Ordoñez-Córdoba

“…The threats identified in Android smartphones used by university students in the southwest of Colombia were based on various techniques (phishing, DNS poisoning, identity theft, Man in the middle, foot-printing, spyware). …”
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Analisis Bibliometrik Publikasi Isu Kebocoran Data Menggunakan VOSviewer by Hanissa Rizki Kurnia, Aisyah Zahrah, Elvia Ichsazene Dina Adha, Nur Aini Rakhmawati

“… Data leakage can harm individuals who experience it, such as identity theft, financial fraud, or even physical security threats. …”
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A wormhole attack detection method for tactical wireless sensor networks by Ke Zhang

“…WSNs are commonly affected by various attacks, such as identity theft, black holes, wormholes, protocol spoofing, etc. …”
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Intelligent Data Security Solutions for e-Health Applications / by Singh, Amit Kumar, editor 651061, Elhoseny, Mohamed, editor 650905, ScienceDirect (Online service) 7722

“…Currently, medical-related identity theft costs billions of dollars each year and altered medical information can put a person’s health at risk through misdiagnosis, delayed treatment or incorrect prescriptions. …”
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Threats and Challenges for Security Measures on the Internet of Things by Mohammad Faiz, A.K. Daniel

“…Due to the billions of connected devices, there is a potential risk of data loss, identity theft, device manipulation, trust issues, falsification of data, network/server manipulation, and various impacts in the application of IoT platforms. …”
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Internet fraud and transnational organized crime by Nadiia Shulzhenko, Snizhana Romashkin

“…The main task of this article is to determine the most common forms of online financial crimes, such as “Hacking” or electronic transmission unintended for the interceptor, such as passwords, credit card information, or other types of identity theft. The article discusses the features of legal regulation and the activities of the Ukraine to protect citizens form Internet frauds and to avoid Internet scams, phishing and other cybercrimes in Internet. …”
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Privacy Threat MOdeling Language by Andrey Rodrigues, Maria Lucia Bento Villela, Eduardo Luzeiro Feitosa

“…Users of OSNs become victims of identity theft, cyberstalking, and information leakage, which are real threats to privacy. …”
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EEG-based identification system using deep neural networks with frequency features by Yasaman Akbarnia, Mohammad Reza Daliri

“…Among various methods, electroencephalography-based (EEG-based) identification is a dependable way to prevent identity theft and impersonation. Due to the distractions present in the identification environment, such as lack of focus, mental engagement, small body movements, blinking, and other noises, it is essential to analyze data that reflects these conditions. …”
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Email and Website-Based Phishing Attack: Examining Online Users Security Behavior in Cyberspace Environment by kibreab adane, Berhanu Beyene

“…As a result, phishing, an identity theft cyber-attack that targets humans rather than computers, was born to harvest internet users' confidential information by taking advantage of human behavior and hurting an organization's continuity, reputation, and credibility. …”
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Securing Health Sensing Using Integrated Circuit Metric by Ruhma Tahir, Hasan Tahir, Klaus McDonald-Maier

“…An increase in networked healthcare devices has resulted in incidents related to data theft, medical identity theft and insurance fraud. In this paper, we discuss the design and implementation of a secure lightweight wearable health sensing system. …”
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Life-long phishing attack detection using continual learning by Asif Ejaz, Adnan Noor Mian, Sanaullah Manzoor

“…Abstract Phishing is an identity theft that employs social engineering methods to get confidential data from unwary users. …”
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Confusion, control and comfort: premediating identity management in film and television by Turner, G, van Zoonen, L, Harvey, J

“…Our analysis suggests that a whole range of future IM (knowledge- and token-based, as well as biometric/implant) technologies is imagined here, with biometric and implant technologies most likely to be taken to (dystopian) extremes. Stories of identity theft and confusion, surveillance and control, comfort and corruption construct them as potentially problematic and always under threat, as well as calling up existential concerns about what it means to be human. …”