Aminollah Khormali

发表

Understanding the Hidden Cost of Software Vulnerabilities: Measurements and Predictions

Aziz Mohaisen, Afsah Anwar, Aminollah Khormali, 2018, SecureComm.

Examining Adversarial Learning against Graph-based IoT Malware Detection Systems pdf

Aziz Mohaisen, Afsah Anwar, Aminollah Khormali, 2019, ArXiv.

Generating Adversarial Examples with an Optimized Quality pdf

David Mohaisen, Aminollah Khormali, DaeHun Nyang, 2020, ArXiv.

Where Are You Taking Me? Behavioral Analysis of Open DNS Resolvers

Aziz Mohaisen, Manar Mohaisen, Aminollah Khormali, 2019, 2019 49th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN).

Optimization of brushless direct current motor design using an intelligent technique.

Aminollah Khormali, Alireza Shabanian, Armin Amini Poustchi Tousiwas, 2015, ISA transactions.

Identification of an industrial gas turbine based on Rowen's model and using Multi-Objective Optimization method

Aminollah Khormali, Iman Yousefi, Hassan Yahyaei, 2015, 2015 3rd RSI International Conference on Robotics and Mechatronics (ICROM).

Breaking graph-based IoT malware detection systems using adversarial examples: poster

Aziz Mohaisen, Afsah Anwar, Aminollah Khormali, 2019, WiSec.

COPYCAT: Practical Adversarial Attacks on Visualization-Based Malware Detection pdf

Aziz Mohaisen, Songqing Chen, Aminollah Khormali, 2019, ArXiv.

POSTER: Understanding the Hidden Cost of Software Vulnerabilities: Measurements and Predictions

Aziz Mohaisen, Afsah Anwar, Aminollah Khormali, 2018, AsiaCCS.

A novel approach for recognition of control chart patterns: Type-2 fuzzy clustering optimized support vector machine.

Aminollah Khormali, Jalil Addeh, J. Addeh, 2016, ISA transactions.

Analyzing and Detecting Emerging Internet of Things Malware: A Graph-Based Approach

Aziz Mohaisen, Afsah Anwar, Amro Awad, 2019, IEEE Internet of Things Journal.

Analyzing, Comparing, and Detecting Emerging Malware: A Graph-based Approach pdf

Aziz Mohaisen, Afsah Anwar, Aminollah Khormali, 2019, ArXiv.

Developing a Robust Defensive System against Adversarial Examples Using Generative Adversarial Networks

Aminollah Khormali, Jiann-Shiun Yuan, Shayan Taheri, 2020, Big Data Cogn. Comput..

Adversarial Learning Attacks on Graph-based IoT Malware Detection Systems

Aziz Mohaisen, Afsah Anwar, Aminollah Khormali, 2019, 2019 IEEE 39th International Conference on Distributed Computing Systems (ICDCS).

On-line Full Probability Distribution Identification of ARX Model Parameters Based on Bayesian Approach

Hamid Khaloozadeh, Alireza Fatehi, Aminollah Khormali, 2016 .

Control chart pattern recognition using RBF neural network with new training algorithm and practical features.

Noorbakhsh Amiri Golilarz, Aminollah Khormali, Abdoljalil Addeh, 2018, ISA transactions.

Examining the Robustness of Learning-Based DDoS Detection in Software Defined Networks

Aziz Mohaisen, Murat Yuksel, Aminollah Khormali, 2019, 2019 IEEE Conference on Dependable and Secure Computing (DSC).

End-to-End Analysis of In-Browser Cryptojacking pdf

Aziz Mohaisen, Aminollah Khormali, Muhammad Saad, 2018, ArXiv.

TranScreen: Transfer Learning on Graph-Based Anti-Cancer Virtual Screening Model

Aminollah Khormali, Jiann-Shiun Yuan, Arash Keshavarzi Arshadi, 2020, Big Data Cogn. Comput..

DFD: Adversarial Learning-based Approach to Defend Against Website Fingerprinting

Aminollah Khormali, DaeHun Nyang, Rhongho Jang, 2020, IEEE INFOCOM 2020 - IEEE Conference on Computer Communications.

Corrigendum to "Domain name system security and privacy: A contemporary survey" Computer Networks Volume 185 (2020) 107699

Afsah Anwar, Aminollah Khormali, Muhammad Saad, 2021, Comput. Networks.

ADD: Attention-Based DeepFake Detection Approach

Aminollah Khormali, Jiann-Shiun Yuan, Jiann-Shiun Yuan, 2021, Big Data Cogn. Comput..