Výsledky vyhledávání - "Detection and Prevention of Phishing Attacks"

Subject Detection of Algerian Posts for Opinion Analysis

Autoři: Kheira Zineb Bousmaha Khaoula Hamadouche Nawel Cheurfaoui a další

Zdroj: Ingénierie des systèmes d information. 29:821-829

Témata: FOS: Computer and information sciences, Text Mining, FOS: Political science, 4. Education, 16. Peace & justice, Computer science, Detection and Prevention of Phishing Attacks, Automatic Keyword Extraction from Textual Data, World Wide Web, Sentiment Analysis and Opinion Mining, Behavioral Analysis, 5. Gender equality, Artificial Intelligence, Aspect-based Sentiment Analysis, Subject (documents), Computer Science, Physical Sciences, Bot Detection, 8. Economic growth, Sentiment Analysis, Information retrieval, 10. No inequality, Political science, Information Systems

A Hybrid Deep Learning Approach for Spam Detection in Twitter

Autoři: Hemza Loucif

Zdroj: Ingénierie des systèmes d information. 29:117-123

Témata: FOS: Computer and information sciences, Review Spam, Artificial intelligence, Computer Networks and Communications, 7. Clean energy, Detection and Prevention of Phishing Attacks, Characterization and Detection of Android Malware, Deep Learning, Machine learning, Spamming, Deep learning, 16. Peace & justice, Computer science, 3. Good health, World Wide Web, Spam Detection, Spambot, Computer Science, Physical Sciences, Signal Processing, Bot Detection, 8. Economic growth, Network Intrusion Detection and Defense Mechanisms, Botnet Detection, The Internet, Information Systems

Optimizing Misinformation Control: A Cloud-Enhanced Machine Learning Approach

Autoři: Muhammad Daniyal Baig Waseem Akram Hafiz Burhan Ul Haq a další

Zdroj: Information Dynamics and Applications. 3:1-11

Témata: FOS: Computer and information sciences, Artificial intelligence, Sociology and Political Science, Computer Networks and Communications, Social Sciences, The Spread of Misinformation Online, Control (management), 15. Life on land, 16. Peace & justice, Computer science, 7. Clean energy, Detection and Prevention of Phishing Attacks, Operating system, Computer security, Computer Science, Physical Sciences, 11. Sustainability, Network Intrusion Detection and Defense Mechanisms, Misinformation, Cloud computing, Information Systems

Utilizing Ensemble Learning for Detecting Multi-Modal Fake News

Autoři: Muhammad Luqman Muhammad Faheem Waheed Yousuf Ramay a další

Přispěvatelé: Muhammad Luqman Muhammad Faheem Waheed Yousuf Ramay a další

Zdroj: IEEE Access, Vol 12, Pp 15037-15049 (2024)

Témata: FOS: Computer and information sciences, Exploit, Artificial intelligence, Sociology and Political Science, bagged CNN, convolutional neural network, Social Sciences, fi=Tietotekniikka|en=Computer Science, Boosting (machine learning), Detection and Prevention of Phishing Attacks, Social media, Characterization and Detection of Android Malware, Computer security, Ensemble learning, Machine learning, boosted CNN, Information retrieval, Polymer chemistry, 10. No inequality, Preprocessor, Fake News, Natural language processing, 4. Education, multi-modal fake news, The Spread of Misinformation Online, Deep learning, Autoencoder, Rumor Detection, 16. Peace & justice, Computer science, TK1-9971, Encoder, World Wide Web, Chemistry, Operating system, classification, Fake news, Computer Science, Physical Sciences, Signal Processing, 8. Economic growth, Misinformation, Internet privacy, Electrical engineering. Electronics. Nuclear engineering, Modal, Information Systems

Popis souboru: fi=kokoteksti; en=fulltext; true

Přístupová URL adresa: https://doaj.org/article/e62e84da4e1a4312834825ff5dfbf74c

Inverse chi-square-based flamingo search optimization with machine learning-based security solution for Internet of Things edge devices

Autoři: Youseef Alotaibi R. Deepa K. Shankar a další

Zdroj: AIMS Mathematics, Vol 9, Iss 1, Pp 22-37 (2024)

Témata: FOS: Computer and information sciences, Exploit, Artificial intelligence, IoT Security, Computer Networks and Communications, security, 02 engineering and technology, 01 natural sciences, 7. Clean energy, Detection and Prevention of Phishing Attacks, feature selection, Characterization and Detection of Android Malware, Computer engineering, Computer security, Machine learning, QA1-939, 0202 electrical engineering, electronic engineering, information engineering, 0101 mathematics, Data mining, Geography, deep learning, edge devices, Edge computing, internet of things, Computer science, Intrusion Detection, Enhanced Data Rates for GSM Evolution, Algorithm, Detection, machine learning, Computer Science, Physical Sciences, Signal Processing, Feature selection, Network Intrusion Detection and Defense Mechanisms, Security Analysis, Botnet Detection, Benchmark (surveying), Mathematics, Geodesy, Information Systems

Přístupová URL adresa: https://doaj.org/article/8f0a63c24ba649e1ba93f37b61d15e19

Secure Storage of Crypto Wallet Seed Phrase Using ECC and Splitting Technique

Autoři: Syeda Tayyaba Bukhari Muhammad Umar Janjua Junaid Qadir

Zdroj: IEEE Open Journal of the Computer Society, Vol 5, Pp 278-289 (2024)

Témata: blockchain, FOS: Computer and information sciences, Cryptocurrency, Artificial intelligence, FOS: Political science, Encryption, FOS: Law, security, Information technology, Detection and Prevention of Phishing Attacks, Password, Characterization and Detection of Android Malware, Blockchain, Computer security, Political science, mnemonic phrase, Blockchain and Internet of Things Integration, Seed phrase storage, QA75.5-76.95, Phrase, T58.5-58.64, 16. Peace & justice, Computer science, Popularity, Electronic computers. Computer science, Signal Processing, Computer Science, Physical Sciences, Cryptography, master phrase, crypto wallets, Law, Information Systems

Popis souboru: application/pdf

Přístupová URL adresa: https://doaj.org/article/ab1ab48c549a463d98127b5cf2876455
https://hdl.handle.net/10576/66081

Addressing Behavioral Drift in Ransomware Early Detection Through Weighted Generative Adversarial Networks

Autoři: Umara Urooj Bander Ali Saleh Al‐rimy Anazida Zainal a další

Zdroj: IEEE Access, Vol 12, Pp 3910-3925 (2024)

Témata: FOS: Computer and information sciences, Artificial intelligence, metamorphic, Computer Networks and Communications, Generative grammar, Ransomware, Adversarial system, Pattern recognition (psychology), Malware, Detection and Prevention of Phishing Attacks, Characterization and Detection of Android Malware, Behavioral Analysis, Computer security, Machine learning, early detection, 10. No inequality, Deep learning, Adaptive, Computer science, crypto-ransomware, TK1-9971, Intrusion Detection, Detection, Signal Processing, Computer Science, Physical Sciences, Network Intrusion Detection and Defense Mechanisms, polymorphic, Electrical engineering. Electronics. Nuclear engineering, generative adversarial networks, Botnet Detection, Generative adversarial network, CAH11-01-01 - computer science, Information Systems

Popis souboru: text

Přístupová URL adresa: https://doaj.org/article/6a23a6ebd16b4de9bcf82969cd4c3104

Efficient Ensemble-based Phishing Website Classification Models using Feature Importance Attribute Selection and Hyper parameter Tuning Approaches

Autoři: Rasheed Gbenga Jimoh Akinyemi Moruff OYELAKIN Oluwakemi Christiana Abikoye a další

Zdroj: Journal of Information Technology and Computing. 4:1-10

Témata: FOS: Computer and information sciences, Artificial intelligence, Computer Networks and Communications, 02 engineering and technology, Phishing, Detection and Prevention of Phishing Attacks, Characterization and Detection of Android Malware, Ensemble learning, Machine learning, 0202 electrical engineering, electronic engineering, information engineering, Decision tree, Data mining, 4. Education, 15. Life on land, 16. Peace & justice, Computer science, Intrusion Detection, World Wide Web, Detection, Computer Science, Physical Sciences, Signal Processing, Feature selection, Network Intrusion Detection and Defense Mechanisms, Security Analysis, The Internet, Information Systems, Random forest

An Improved FakeBERT for Fake News Detection

Autoři: Arshad Ali Maryam Gulzar

Zdroj: Applied Computer Systems, Vol 28, Iss 2, Pp 180-188 (2023)

Témata: FOS: Computer and information sciences, fake news, Sociology and Political Science, Social Sciences, 02 engineering and technology, Detection and Prevention of Phishing Attacks, Systems engineering, QA76.75-76.765, Engineering, Artificial Intelligence, Project management, 0202 electrical engineering, electronic engineering, information engineering, Computer software, Fake News, The Spread of Misinformation Online, Rumor Detection, 16. Peace & justice, Computer science, 3. Good health, World Wide Web, Sentiment Analysis and Opinion Mining, covid-19, semantic analysis, Fake news, Computer Science, Physical Sciences, Internet privacy, Information Systems

Přístupová URL adresa: https://doaj.org/article/758aa1a268774c7ea4a0f74331a9bfb5

Passion-Net: a robust precise and explainable predictor for hate speech detection in Roman Urdu text

Autoři: Faiza Mehmood Hina Ghafoor Muhammad Nabeel Asim a další

Zdroj: Neural Computing and Applications. 36:3077-3100

Témata: FOS: Computer and information sciences, Artificial intelligence, Offensive Language, 02 engineering and technology, Speech recognition, Detection and Prevention of Phishing Attacks, Sentiment analysis, Computational Science and Engineering, Artificial Intelligence, F1 score, Machine learning, Automated Detection of Hate Speech and Offensive Language, 0202 electrical engineering, electronic engineering, information engineering, 10. No inequality, Natural Language Processing, Geography, Natural language processing, 4. Education, Discriminative model, Linguistics, German, Computer science, Urdu, FOS: Philosophy, ethics and religion, Detection, Philosophy, Machine Learning for Internet Traffic Classification, Computer Science, Physical Sciences, Bot Detection, FOS: Languages and literature, Benchmark (surveying), Classifier (UML), Geodesy, Information Systems

Phishing and Spoofing Websites: Detection and Countermeasures

Autoři: Wee Liem Lai Vik Tor Goh Timothy Tzen Vun Yap a další

Zdroj: International Journal on Advanced Science, Engineering and Information Technology. 13:1672-1678

Témata: FOS: Computer and information sciences, Authentication, Sociology and Political Science, User Authentication Methods and Security Measures, Social Sciences, The Spread of Misinformation Online, Phishing, 16. Peace & justice, Computer science, Detection and Prevention of Phishing Attacks, 3. Good health, World Wide Web, Spam Detection, URL Filtering, Computer security, QA71-90 Instruments and machines, Computer Science, Physical Sciences, Bot Detection, Internet privacy, Business, Spoofing attack, The Internet, Information Systems

An Implementation of Effective Machine Learning Approaches to Perform Sybil Attack Detection (SAD) in IoT Network

Autoři: Hafiz Burhan ul Haq Muhammad Saqlain

Zdroj: Theoretical and Applied Computational Intelligence. 1:1-14

Témata: FOS: Computer and information sciences, Artificial intelligence, IoT Security, Computer Networks and Communications, Sybil attack, Variety (cybernetics), Internet of Things, 7. Clean energy, Detection and Prevention of Phishing Attacks, Characterization and Detection of Android Malware, Computer security, Machine learning, FOS: Mathematics, Data mining, Biology, Computer network, Ecology, Intrusion detection system, Statistics, Computer science, Intrusion Detection, Energy consumption, Detection, Categorization, FOS: Biological sciences, Computer Science, Physical Sciences, Signal Processing, Network Intrusion Detection and Defense Mechanisms, Security Analysis, Botnet Detection, Energy (signal processing), Wireless sensor network, Mathematics, Information Systems

Improving spam email classification accuracy using ensemble techniques: a stacking approach

Autoři: Muhammad Adnan Muhammad Osama Imam Mobin Javed a další

Zdroj: International Journal of Information Security. 23:505-517

Témata: FOS: Computer and information sciences, Review Spam, Artificial neural network, Artificial intelligence, Support vector machine, Computer Networks and Communications, Overfitting, 02 engineering and technology, Boosting (machine learning), Pattern recognition (psychology), Detection and Prevention of Phishing Attacks, Nuclear magnetic resonance, Artificial Intelligence, Ensemble learning, Machine learning, 0202 electrical engineering, electronic engineering, information engineering, Decision tree, Data mining, Precision and recall, Naive Bayes classifier, Physics, AdaBoost, Statistical classification, Computer science, Intrusion Detection, Spam Detection, Stacking, Machine Learning for Internet Traffic Classification, Computer Science, Physical Sciences, Bot Detection, Network Intrusion Detection and Defense Mechanisms, Botnet Detection, Classifier (UML), Information Systems, Random forest

Přístupová URL adresa: https://hdl.handle.net/10037/31848

An Intelligent Framework Based on Deep Learning for SMS and e-mail Spam Detection

Autoři: Umair Maqsood Saif Ur Rehman Tariq Ali a další

Zdroj: Applied Computational Intelligence and Soft Computing, Vol 2023 (2023)

Témata: FOS: Computer and information sciences, Review Spam, Artificial intelligence, Support vector machine, Computer Networks and Communications, 02 engineering and technology, Phishing, Malware, Detection and Prevention of Phishing Attacks, Artificial Intelligence, Computer security, Machine learning, 0202 electrical engineering, electronic engineering, information engineering, Phone, Short Message Service, Linguistics, QA75.5-76.95, Computer science, FOS: Philosophy, ethics and religion, World Wide Web, Operating system, Philosophy, Spam Detection, Machine Learning for Internet Traffic Classification, Electronic computers. Computer science, Computer Science, Physical Sciences, Bot Detection, Network Intrusion Detection and Defense Mechanisms, FOS: Languages and literature, Botnet Detection, Classifier (UML), Software, The Internet, Information Systems

Popis souboru: text/xhtml

Přístupová URL adresa: https://doaj.org/article/eb43b3bf844447c9a4bc339b0594ce25

Hybrid multi-criteria decision-making technique for the selection of best cryptographic multivalued Boolean function

Autoři: Nabilah Abughazalah Majid Khan Mohsin Iqbal

Zdroj: Complex & Intelligent Systems, Vol 10, Iss 1, Pp 455-468 (2023)

Témata: FOS: Computer and information sciences, Image Encryption, Robustness (evolution), Encryption, Geometry, Interval-based Pythagorean fuzzy TOPSIS, Information technology, 02 engineering and technology, Operations research, Biochemistry, Gene, Detection and Prevention of Phishing Attacks, Cryptanalysis of Block Ciphers and Hash Functions, Theoretical computer science, Multi-criteria decision-making, Artificial Intelligence, Substitution box, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, TOPSIS, Cipher, Block Ciphers, Block cipher, Pythagorean theorem, Chaos-based Image Encryption Techniques, 4. Education, QA75.5-76.95, T58.5-58.64, Computer science, Algorithm, Chemistry, Operating system, Color Image Encryption, Electronic computers. Computer science, Computer Science, Physical Sciences, Cryptography, Computer Vision and Pattern Recognition, Mathematics, Information Systems

Přístupová URL adresa: https://doaj.org/article/8b0d33a8ae4d4bd286a18d2fc56cca8c

Stand up Against Bad Intended News: An Approach to Detect Fake News using Machine Learning

Autoři: Nafiz Fahad King-Shy Goh Md Ismail Hossen a další

Zdroj: Emerging Science Journal, Vol 7, Iss 4, Pp 1247-1259 (2023)

Témata: FOS: Computer and information sciences, fake news, Artificial intelligence, Support vector machine, Sociology and Political Science, Social Sciences, 02 engineering and technology, Detection and Prevention of Phishing Attacks, Characterization and Detection of Android Malware, Machine learning, false information, Decision tree, 0202 electrical engineering, electronic engineering, information engineering, T1-995, social platforms, Technology (General), H1-99, Fake News, Geography, 4. Education, The Spread of Misinformation Online, Rumor Detection, Computer science, Q300-390 Cybernetics, rumor, Social sciences (General), Detection, Fake news, Computer Science, Physical Sciences, Signal Processing, Bot Detection, Internet privacy, Benchmark (surveying), Classifier (UML), Geodesy, machine learning, Information Systems, Random forest

Popis souboru: text

Přístupová URL adresa: https://doaj.org/article/08665438d6974dddb53caa1a25e133ba

AAFNDL - An Accurate Fake Information Recognition Model Using Deep Learning for the Vietnamese Language

Autoři: Nguyễn Quang Hưng Thang Loi Nguyễn Thị Mai Hương a další

Zdroj: Информатика и автоматизация, Vol 22, Iss 4, Pp 795-825 (2023)

Témata: computational modeling, FOS: Computer and information sciences, fake news, Artificial intelligence, Sociology and Political Science, Social Sciences, 7. Clean energy, bert, Detection and Prevention of Phishing Attacks, Data science, Social media, Artificial Intelligence, Machine learning, 10. No inequality, phobert, Fake News, social networking, feature extraction, tf-idf, deep learning, The Spread of Misinformation Online, Deep learning, QA75.5-76.95, Rumor Detection, 16. Peace & justice, Computer science, World Wide Web, Sentiment Analysis and Opinion Mining, Fake news, classification algorithms, Electronic computers. Computer science, Computer Science, Physical Sciences, 8. Economic growth, Internet privacy, Classifier (UML), The Internet, Information Systems

Přístupová URL adresa: https://doaj.org/article/797b6dc757e141efbb2c4ea345806a89

Addressing feature selection and extreme learning machine tuning by diversity-oriented social network search: an application for phishing websites detection

Autoři: Nebojša Bačanin Miodrag Živković Milos Antonijevic a další

Zdroj: Complex & Intelligent Systems, Vol 9, Iss 6, Pp 7269-7304 (2023)

Témata: FOS: Computer and information sciences, Artificial neural network, Artificial intelligence, Extreme learning machine, Feature (linguistics), Metaheuristic, Information technology, 02 engineering and technology, Phishing, Detection and Prevention of Phishing Attacks, Social network search, Machine Learning, Selection (genetic algorithm), Artificial Intelligence, Machine learning, 0202 electrical engineering, electronic engineering, information engineering, Theory and Applications of Extreme Learning Machines, Data mining, Computational intelligence, Machine Learning in Smart Healthcare, Linguistics, QA75.5-76.95, T58.5-58.64, Computer science, FOS: Philosophy, ethics and religion, World Wide Web, Philosophy, URL Filtering, Diversification, Electronic computers. Computer science, Computer Science, Physical Sciences, Bot Detection, Feature selection, FOS: Languages and literature, Extreme Learning Machine, Hyper-parameters optimization, The Internet, Metaheuristics optimization, Information Systems

Přístupová URL adresa: https://doaj.org/article/dec0d6eadad44c15803529951fb22cb4

A Lightweight Machine Learning-Based Email Spam Detection Model Using Word Frequency Pattern

Autoři: Mohamed Aly Bouke Azizol Abdullah Mohd Taufik Abdullah a další

Zdroj: Journal of Information Technology and Computing. 4:15-28

Témata: FOS: Computer and information sciences, Review Spam, Artificial intelligence, Computer Networks and Communications, Word (group theory), 02 engineering and technology, Detection and Prevention of Phishing Attacks, Artificial Intelligence, Machine learning, 0202 electrical engineering, electronic engineering, information engineering, Data mining, Precision and recall, 4. Education, Linguistics, 16. Peace & justice, Computer science, Intrusion Detection, FOS: Philosophy, ethics and religion, Philosophy, Spam Detection, Machine Learning for Internet Traffic Classification, Computer Science, Physical Sciences, Bot Detection, Network Intrusion Detection and Defense Mechanisms, FOS: Languages and literature, Recall, Botnet Detection, Information Systems, Random forest

Hoax Identification of Indonesian Tweeters using Ensemble Classifier

Autoři: Gus Nanang Syaifuddiin Rizal Arifin Desriyanti Desriyanti a další

Zdroj: Journal of Information Systems and Telecommunication (JIST). 11:94-101

Témata: FOS: Computer and information sciences, Artificial intelligence, Alternative medicine, Sociology and Political Science, Indonesian, Social Sciences, TA Engineering (General). Civil engineering (General), Detection and Prevention of Phishing Attacks, Social media, Characterization and Detection of Android Malware, Hoax, Pathology, 10. No inequality, 4. Education, The Spread of Misinformation Online, Linguistics, Rumor Detection, 16. Peace & justice, Computer science, FOS: Philosophy, ethics and religion, World Wide Web, Philosophy, Computer Science, Physical Sciences, Signal Processing, FOS: Languages and literature, Medicine, Classifier (UML), Information Systems

Popis souboru: application/pdf; text