Дипломдық ЖҰмыс мамандығы 5В100200 «Ақпараттық қауіпсіздік жүйелері»

ПАЙДАЛАНҒАН ӘДЕБИЕТТЕР ТІЗІМІ

1. 
   Statistics. Most popular social networks worldwide. The Statistics Portal. 2021. Available online: https://www.statista.com/statistics/272014/global-socialhttps://www.statista.com/statistics/272014/global-social-networks-ranked-by-number-of-users/networks-ranked-by-number-of-users/.
   
2. 
   KasperskyLab. Киберугрозы и информационная безопасность в корпоративном секторе: тенденции в мире и в России.
   

3. 
   Статистика инцидентов информационной безопасности. Январь 2021 http://ranking.kz/ru/a/infopovody/kolichestvo-kiberatak-v-kazahstanehttp://ranking.kz/ru/a/infopovody/kolichestvo-kiberatak-v-kazahstane-uvelichilos-pochti-v-3-raza-do-3-tysyach-incidentov-90-iz-nih-prihoditsya-na-botnetyuvelichilos-pochti-v-3-raza-do-3-tysyach-incidentov-90-iz-nih-prihoditsya-nahttp://ranking.kz/ru/a/infopovody/kolichestvo-kiberatak-v-kazahstane-uvelichilos-pochti-v-3-raza-do-3-tysyach-incidentov-90-iz-nih-prihoditsya-na-botnetybotnety
   
4. 
   Michael Fire, Roy Goldschmidt, Yuval Elovici Online Social Networks: Threats and Solutions / 2014
   
5. 
   Hilal Almarabeh, Amjad Sulieman THE IMPACT OF CYBER THREATS ON SOCIAL NETWORKING SITES / 2019
   
6. 
   Kirichenko Lyudmyla, Radivilova Tamara, Carlsson Anders Detecting cyber threats through social network analysis: short survey / 2017
   
7. 
   Людмила Кириченко, Тамара Радивилова, Алексей Барановский
   

СОЦИАЛЬНЫХ СЕТЕЙ / 2017

8. 
   Тумбинская М.В. СИСТЕМНЫЙ ПОДХОД К ОБЕСПЕЧЕНИЮ ЗАЩИТЫ ОТ НЕЖЕЛАТЕЛЬНОЙ ИНФОРМАЦИИ В СОЦИАЛЬНЫХ
   

9. 
   А. Г. Анацкая, Е. С. Долгих, Е. В. Толкачева СОЦИАЛЬНЫЕ СЕТИ, КАК
   

ПРЕДПРИЯТИЯ / 2019

10. 
    Michael Crawford, Taghi M. Khoshgoftaar, Joseph D. Prusa, Aaron N. Richter and Hamzah Al Najada Survey of review spam detection using machine learning techniques / 2015
    
11. 
    Hanif Bhuiyan, Akm Ashiquzzaman, Tamanna Islam Juthi, Suzit Biswas, Jinat Ara A Survey of Existing E-Mail Spam Filtering Methods Considering Machine Learning Techniques / 2018
    
12. 
    Emmanuel Gbenga Dada, Joseph Stephen Bassi, Haruna Chiroma, Shafi'i Muhammad Abdulhamid, Adebayo Olusola Adetunmbi, Opeyemi Emmanuel Ajibuwa Machine learning for email spam filtering: review, approaches and open research problems / 2019
    
13. 
    Praveen Dubey An introduction to Bag of Words and how to code it in Python for NLP / 2018
    
14. 
    Victor Zhou A quick, easy introduction to the Bag-of-Words model and how to implement it in Python / 2019
    
15. 
    Purva Huilgol Quick Introduction to Bag-of-Words (BoW) and TF-IDF for Creating Features from Text / 2020
    
16. 
    Dipika Baad Sentiment Classification using Word Embeddings (Word2Vec) / 2020
    
17. 
    Vector Representations of Words. –– Access mode: https://www.tensorflow.org/tutorials/word2vec.
    
18. 
    Continuous Bag of Words (CBOW). –– Access mode: https://iksinc.wordpress.com/tag/continuous-bag-of-words-cbow/.
    
19. 
    Rohith Gandhi Naive Bayes Classifier / 2018
    
20. 
    Avinash Navlani Support Vector Machines with Scikit-learn / 2019
    
21. 
    Avinash Navlani Understanding Logistic Regression in Python/ 2019
    
22. 
    Avinash Navlani Understanding Random Forests Classifiers in Python/ 2018