Cryptanalysis with Ternary Difference: Applied to Block Cipher PRESENT. - Farzaneh Abazari; Babak Sadeghian (IACR Cryptol. ePrint Arch., 2011)

Optimal response to computer network threats. - Farzaneh Abazari; Afsaneh Madani; Hossein Gharaee (IST, 2016)

Effect of anti-malware software on infectious nodes in cloud environment. - Farzaneh Abazari; Morteza Analoui; Hassan Takabi (Comput. Secur., 2016)

Teaching software-defined network security through malicious tenant detection. - Farzaneh Abazari; Flavio Esposito; Hassan Takabi; Hamid Hosseinvand; Tommaso Pecorella (Internet Technol. Lett., 2019)

MOWS: Multi-objective workflow scheduling in cloud computing based on heuristic algorithm. - Farzaneh Abazari; Morteza Analoui; Hassan Takabi; Song Fu (Simul. Model. Pract. Theory, 2019)

Origin Attribution of RSA Public Keys. - Enrico Branca; Farzaneh Abazari; Ronald Rivera Carranza; Natalia Stakhanova (SecureComm (1), 2021)

Github Dataset for Authorship Attribution. - Farzaneh Abazari; Enrico Branca; Norah Ridley; Natalia Stakhanova; Mila Dalla Preda (IEEE DataPort, 2021)

AndroClonium: Bytecode-Level Code Clone Detection for Obfuscated Android Apps. - Ardalan Foroughipour; Natalia Stakhanova; Farzaneh Abazari; Bahman Sistany (SEC, 2022)

Language and Platform Independent Attribution of Heterogeneous Code. - Farzaneh Abazari; Enrico Branca; Evgeniya Novikova; Natalia Stakhanova (SecureComm, 2022)

QR-SACP: Quantitative Risk-Based Situational Awareness Calculation and Projection Through Threat Information Sharing. - Mahdieh Safarzadehvahed; Farzaneh Abazari; Fateme Shabani (ISPEC, 2023)

QR-SACP: Quantitative Risk-based Situational Awareness Calculation and Projection through Threat Information Sharing. - Mahdieh Safarzadehvahed; Farzaneh Abazari; Afsaneh Madani; Fatemeh Shabani (CoRR, 2023)

Dataset Characteristics for Reliable Code Authorship Attribution. - Farzaneh Abazari; Enrico Branca; Norah Ridley; Natalia Stakhanova; Mila Dalla Preda (IEEE Trans. Dependable Secur. Comput., 2023)

Automated offense Prioritization for SIEM using Probabilistic Machine Learning Models. - Md. Asif Khan; Akramul Azim; Farzaneh Abazari; Frank Eargle; Jeff Gardiner (Canadian AI, 2024)

SIEM+: Harnessing Machine Learning for Advanced Anomaly Detection in Cybersecurity Software. - Austin Page; Farzaneh Abazari; Frank Eargle; Akramul Azim; Jeff Gardiner (Canadian AI, 2024)