Перейти к основному содержанию
AkademIndex

Продукты

Для разработчиков

AkademBaseскороОткрытый API экосистемы
Латиница
Русский

Spam and Phishing Detection

Работ: 56

  1. Multi-Class Text Classification of Uzbek News Articles using Machine Learning

    Ilyos Rabbimov, Sami Kobilov

    СтатьяText and Document Classification TechnologiesJournal of Physics Conference Series2020Цитирований: 13
    ABI

  2. Opinion Classification via Word and Emoji Embedding Models with LSTM

    Ilyos Rabbimov, Sami Kobilov, Iosif Mporas

    ГлаваSentiment Analysis and Opinion MiningLecture notes in computer science2021Цитирований: 8
    ABI

  3. Counteracting the Impact of Online Fake News on Brands

    Tat‐Huei Cham, Boon Liat Cheng, Eugene Cheng‐Xi Aw +3

    СтатьяMisinformation and Its ImpactsJournal of Computer Information Systems2023Цитирований: 4
    ABI

  4. Detecting spam messages using the naive Bayes algorithm of basic machine learning

    Khamdamov Rustam Khamdamovich, Haydarov Elshod

    СтатьяSpam and Phishing Detection2021 International Conference on Information Science and Communications Technologies (ICISCT)2021Цитирований: 2
    ABI

  5. Automatic Detection of Stop Words for Texts in the Uzbek Language

    Khabibulla Madatov, Shukurla Bekchanov, Jernej Vičič

    ПрепринтNatural Language Processing TechniquesPreprints.org2022Цитирований: 1
    ABI

  6. Investigating the Effect of Emoji in Opinion Classification of Uzbek Movie Review Comments

    Ilyos Rabbimov, Iosif Mporas, Vasiliki Simaki +1

    ПрепринтSentiment Analysis and Opinion MiningLecture notes in computer science2020Цитирований: 0
    ABI

  7. Artificial Intelligence-Based Methods For Filtering Spam Messages In Email Services

    Salim K. Ganiev, Sherzod J. Khamidov

    СтатьяSpam and Phishing Detection2021 International Conference on Information Science and Communications Technologies (ICISCT)2021Цитирований: 0
    ABI

  8. Crowd marketing in marketing research

    Laylo Tokhtasinovna Abdukhalilova, Nargiza Аlimxodjaeva

    СтатьяDigital Marketing and Social MediaSouth Asian Journal of Marketing & Management Research2021Цитирований: 0
    ABI

  9. SELECT CRITERIA FOR FILTERING EMAIL MESSAGES

    Hamdamov Rustam Hamdamovich, Haydarov Elshod Dilshod ugli

    СтатьяSpam and Phishing DetectionZenodo (CERN European Organization for Nuclear Research)2022Цитирований: 0
    ABI

  10. THE NEED FOR LEGAL REGULATION OF SOCIAL NETWORKS

    Shokhjakhon Khujayev

    СтатьяCybercrime and Law Enforcement StudiesReview of Law Sciences2022Цитирований: 0
    ABI

  11. Web Mining: Opportunities, Challenges, and Future Directions

    Aneesh Pradeep

    СтатьяWeb Data Mining and Analysis2023Цитирований: 0
    ABI

  12. Development of Mathematical Algorithm for Detecting XSS Attacks on Web Applications

    Komil Kerimov, Zarina Ildarovna Azizova

    СтатьяWeb Application Security VulnerabilitiesWSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS2024Цитирований: 0
    ABI

  13. Analysis of Methods of Attracting Attackers in the Honeypot

    Dilshoda Qurbonaliyeva, Gulnora K. Abdurakhmanova

    СтатьяNetwork Security and Intrusion Detection2024Цитирований: 0
    ABI

  14. A Novel Technique for Detecting Concealed Malicious URLs within the Tor Network

    P. Kanimozhi, I Felcia Jerlin, T. Ananth Kumar +3

    СтатьяSpam and Phishing Detection2024Цитирований: 0
    ABI

  15. RETRACTED: Enhancing online health consultations through fuzzy logic-integrated attribute-based encryption system

    Haewon Byeon, Manoj Ram Tammina, Mukesh Soni +4

    СтатьяSpam and Phishing DetectionJournal of Intelligent & Fuzzy Systems2024Цитирований: 0
    ABI

  16. Phishing detection technology with a deep learning model on unbalanced training data

    Avazjon Marakhimov, U. R. Okhundadaev

    СтатьяSpam and Phishing DetectionAIP conference proceedings2024Цитирований: 0
    ABI

  17. Array, Linked List, and Binary Search Tree Comparison

    Maja Sarevska

    СтатьяWeb Application Security VulnerabilitiesWSEAS TRANSACTIONS ON COMPUTERS2024Цитирований: 0
    ABI

  18. Group Spam Identification in IOT Home Automation Using Tracking Time Metadata

    Achilov Docent, Saurabh Dhanik, Pardeep Kumar Jindal +3

    СтатьяNetwork Security and Intrusion Detection2024Цитирований: 0
    ABI

  19. Application of a Piecewise Linear Decision Tree Algorithm to Detect Phishing URLs in IoT Devices

    Marakhimov Avazjon Rakhimovich, Kabul Khudaybergenov, Ohundadaev Ulugbek Rakhmovich

    ГлаваSpam and Phishing DetectionLecture notes in networks and systems2024Цитирований: 0
    ABI

  20. An Enhanced Random Forest (ERF)-based Machine Learning Framework for Resampling, Prediction, and Classification of Mobile Applications using Textual Features

    Shahbaz Hussain, Nadeem Sarwar, Arshad Ali +5

    СтатьяSpam and Phishing DetectionEngineering Technology & Applied Science Research2025Цитирований: 0
    ABI

  21. A hybrid deep learning model for sentiment analysis of COVID-19 tweets with class balancing

    Md. Alamin Talukder, Md. Ashraf Uddin, Suman Roy +6

    СтатьяSentiment Analysis and Opinion MiningScientific Reports2025Цитирований: 0
    ABI

  22. Design and Deployment of a Secure Mobile Banking System with AI-Driven Fraud Detection

    Anh Dung Ngô, Feruzbek Jumaniyozov, Amit Mittal +3

    СтатьяImbalanced Data Classification Techniques2025Цитирований: 0
    ABI

  23. Unified Fake News Detection Based on IoST-Driven Joint Detection Models

    Janjhyam Venkata Naga Ramesh, Sachin Gupta, Aadam Quraishi +6

    СтатьяMisinformation and Its ImpactsIEEE Transactions on Computational Social Systems2025Цитирований: 0
    ABI

  24. Legal Risk and Impact of Fake Review in Online Commerce (Comparative Study Indonesia and Uzbekistan)

    Rina Arum Prastyanti, Bobur Sobirov

    СтатьяFinTech, Crowdfunding, Digital FinanceWest Science Law and Human Rights2025Цитирований: 0
    ABI

  25. Hybrid Machine Learning and Language Model Approach for Monitoring and Regulating International Dark Web Transactions

    Mavluda Ahmedshaeva, Nargis Kurbanazarova, Nodir Karimov +3

    СтатьяCybercrime and Law Enforcement Studies2025Цитирований: 0
    ABI