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AN IN-DEPTH VISION TO HARDWARE DESIGN SECURITY VULNERABILITIES

(Received: 29-Oct.-2021, Revised: 20-Dec.-2021 , Accepted: 11-Jan.-2022)
Zainab Younis,Basim Mahmood
#Complex networks #CWE vulnerabilities #Data analysis #Hardware vulnerabilities
  • Views: 1902
  • Downloads: 495
  • DOI: 10.5455/jjcit.71-1635517841
  • Cited by: 1
Abstract

INCREASING SECURITY IN MILITARY SELF- PROTECTED SOFTWARE

(Received: 4-May-2021, Revised: 2-Jul.-2021 , Accepted: 9-Jul.-2021)
Carlos Gonzalez
#User detection #Secure military software #Secure self-protected software #Covert actions #International law
  • Views: 2374
  • Downloads: 697
  • DOI: 10.5455/jjcit.71-1620148110
  • Cited by: 1
Abstract

HYBRID FEATURE SELECTION FRAMEWORK FOR SENTIMENT ANALYSIS ON LARGE CORPORA

(Received: 5-Jan.-2021, Revised: 22-Feb.-2021 , Accepted: 17-Mar.-2021)
*Kayode S. Adewole,Abdullateef O. Balogun,Muiz O. Raheem,Muhammed K. Jimoh,Rasheed G. Jimoh,Modinat A. Mabayoje,Fatima E. Usman-Hamza,Abimbola G. Akintola,Ayisat W. Asaju-Gbolagade
#Sentiment analysis #Opinion mining #Hybrid feature selection #Boruta #Recursive feature elimination
  • Views: 2960
  • Downloads: 727
  • DOI: 10.5455/jjcit.71-1609858713
  • Cited by: 3
Abstract

PHIBOOST- A NOVEL PHISHING DETECTION MODEL USING ADAPTIVE BOOSTING APPROACH

(Received: 14-Sep.-2020, Revised: 6-Nov.-2020 , Accepted: 15-Dec.-2020)
Ammar Odeh,Ismail Keshta,Eman Abdelfattah
#Adaptive boost #Feature selection #Correlation-based feature #Machine learning
  • Views: 3475
  • Downloads: 932
  • DOI: 10.5455/jjcit.71-1600061738
  • Cited by: 0
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