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Arash Habibi Lashkari
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2020 – today
- 2025
- [j26]MohammadMoein Shafi
, Arash Habibi Lashkari
NTLFlowLyzer: Towards generating an intrusion detection dataset and intruders behavior profiling through network and transport layers traffic analysis and pattern extraction. Comput. Secur. 148: 104160 (2025) - 2024
- [j25]MohammadMoein Shafi
Unveiling malicious DNS behavior profiling and generating benchmark dataset through application layer traffic analysis. Comput. Electr. Eng. 118: 109436 (2024) - [j24]Ehab Alkhateeb
A survey on run-time packers and mitigation techniques. Int. J. Inf. Sec. 23(2): 887-913 (2024) - [j23]Sepideh Niktabe
Detection, characterization, and profiling DoH Malicious traffic using statistical pattern recognition. Int. J. Inf. Sec. 23(2): 1293-1316 (2024) - [j22]Ehab Alkhateeb
Identifying Malware Packers through Multilayer Feature Engineering in Static Analysis. Inf. 15(2): 102 (2024) - [j21]Xie He, Arash Habibi Lashkari
Authorship Attribution Methods, Challenges, and Future Research Directions: A Comprehensive Survey. Inf. 15(3): 131 (2024) - [j20]MohammadMoein Shafi
Toward Generating a New Cloud-Based Distributed Denial of Service (DDoS) Dataset and Cloud Intrusion Traffic Characterization. Inf. 15(4): 195 (2024) - [j19]Sepideh Niktabe
Unveiling DoH tunnel: Toward generating a balanced DoH encrypted traffic dataset and profiling malicious behavior using inherently interpretable machine learning. Peer Peer Netw. Appl. 17(1): 507-531 (2024) - 2023
- [j18]Madumitha Venkatasubramanian
IoT Malware Analysis Using Federated Learning: A Comprehensive Survey. IEEE Access 11: 5004-5018 (2023) - [j17]Hesamodin Mohammadian
A gradient-based approach for adversarial attack on deep learning-based network intrusion detection systems. Appl. Soft Comput. 137: 110173 (2023) - [j16]Nasrin Badie, Ab Razak Che Hussin, Elaheh Yadegaridehkordi
A SEM-STELLA approach for predicting decision-makers' adoption of cloud computing data center. Educ. Inf. Technol. 28(7): 8219-8271 (2023) - [j15]Princy Victor, Arash Habibi Lashkari, Rongxing Lu, Tinshu Sasi, Pulei Xiong, Shahrear Iqbal:
IoT malware: An attribute-based taxonomy, detection mechanisms and challenges. Peer Peer Netw. Appl. 16(3): 1380-1431 (2023) - [c40]Maryam Issakhani, Mufeng Huang, Mohammad A. Tayebi, Arash Habibi Lashkari:
An Evolutionary Algorithm for Adversarial SQL Injection Attack Generation. ISI 2023: 1-6 - [c39]Kwasi Boakye-Boateng, Ali A. Ghorbani, Arash Habibi Lashkari:
Securing Substations with Trust, Risk Posture, and Multi-Agent Systems: A Comprehensive Approach. PST 2023: 1-12 - [c38]Hesamodin Mohammadian, Arash Habibi Lashkari, Ali A. Ghorbani:
Evaluating Label Flipping Attack in Deep Learning-Based NIDS. SECRYPT 2023: 597-603 - 2022
- [j14]Mohammed Aldarwbi
QKeyShield: A Practical Receiver-Device-Independent Entanglement-Swapping-Based Quantum Key Distribution. IEEE Access 10: 107685-107702 (2022) - [j13]Mohammed Aldarwbi
The sound of intrusion: A novel network intrusion detection system. Comput. Electr. Eng. 104(Part): 108455 (2022) - [j12]Hardhik Mohanty
Robust stacking ensemble model for darknet traffic classification under adversarial settings. Comput. Secur. 120: 102830 (2022) - [j11]Kwasi Boakye-Boateng
A Trust-Influenced Smart Grid: A Survey and a Proposal. J. Sens. Actuator Networks 11(3): 34 (2022) - [c37]Ashley Barkworth
Detecting IMAP Credential Stuffing Bots Using Behavioural Biometrics. ICCNS 2022: 7-15 - [c36]Abhishek Chopra
AuthAttLyzer: A Robust defensive distillation-based Authorship Attribution framework. ICCNS 2022: 43-50 - [c35]Madumitha Venkatasubramanian
Federated Learning Assisted IoT Malware Detection Using Static Analysis. ICCNS 2022: 191-198 - [c34]Tristan Carrier, Princy Victor
Detecting Obfuscated Malware using Memory Feature Engineering. ICISSP 2022: 177-188 - [c33]Hesamodin Mohammadian
Evaluating Deep Learning-based NIDS in Adversarial Settings. ICISSP 2022: 435-444 - [c32]Maryam Issakhani, Princy Victor
PDF Malware Detection based on Stacking Learning. ICISSP 2022: 562-570 - 2021
- [j10]Xichen Zhang
Classifying and clustering malicious advertisement uniform resource locators using deep learning. Comput. Intell. 37(1): 511-537 (2021) - [j9]Saeed Shafiee Hasanabadi, Arash Habibi Lashkari
A memory-based game-theoretic defensive approach for digital forensic investigators. Digit. Investig. 38: 301214 (2021) - [j8]Mohammed Aldarwbi
KeyShield: A Scalable and Quantum-Safe Key Management Scheme. IEEE Open J. Commun. Soc. 2: 87-101 (2021) - [c31]Samaneh Mahdavifar, Nasim Maleki, Arash Habibi Lashkari, Matt Broda, Amir H. Razavi:
Classifying Malicious Domains using DNS Traffic Analysis. DASC/PiCom/CBDCom/CyberSciTech 2021: 60-67 - [c30]Miraqa Safi, Barjinder Kaur, Sajjad Dadkhah
Behavioural Monitoring and Security Profiling in the Internet of Things (IoT). HPCC/DSS/SmartCity/DependSys 2021: 1203-1210 - [c29]Samaneh Mahdavifar, Amgad Hanafy Salem, Princy Victor
Lightweight Hybrid Detection of Data Exfiltration using DNS based on Machine Learning. ICCNS 2021: 80-86 - [c28]Kwasi Boakye-Boateng, Ali A. Ghorbani, Arash Habibi Lashkari:
RiskISM: A Risk Assessment Tool for Substations. iSCI 2021: 23-30 - [c27]Kwasi Boakye-Boateng, Ali A. Ghorbani, Arash Habibi Lashkari
A Novel Trust Model In Detecting Final-Phase Attacks in Substations. PST 2021: 1-11 - [c26]Farzaneh Shoeleh, Masoud Erfani, Saeed Shafiee Hasanabadi, Duc-Phong Le, Arash Habibi Lashkari
User Profiling on Universal Data Insights tool on IBM Cloud Pak for Security. PST 2021: 1-10 - [c25]Mohammad Mehdi Yadollahi, Arash Habibi Lashkari
Towards Query-efficient Black-box Adversarial Attack on Text Classification Models. PST 2021: 1-7 - 2020
- [j7]Saeed Shafiee Hasanabadi, Arash Habibi Lashkari
A game-theoretic defensive approach for forensic investigators against rootkits. Digit. Investig. 33: 200909 (2020) - [j6]Saeed Shafiee Hasanabadi, Arash Habibi Lashkari
A survey and research challenges of anti-forensics: Evaluation of game-theoretic models in simulation of forensic agents' behaviour. Digit. Investig. 35: 301024 (2020) - [c24]Gurdip Kaur, Arash Habibi Lashkari
Intrusion Traffic Detection and Characterization using Deep Image Learning. DASC/PiCom/CBDCom/CyberSciTech 2020: 55-62 - [c23]Mohammadreza MontazeriShatoori, Logan Davidson, Gurdip Kaur, Arash Habibi Lashkari
Detection of DoH Tunnels using Time-series Classification of Encrypted Traffic. DASC/PiCom/CBDCom/CyberSciTech 2020: 63-70 - [c22]Arash Habibi Lashkari
DIDarknet: A Contemporary Approach to Detect and Characterize the Darknet Traffic using Deep Image Learning. ICCNS 2020: 1-13 - [c21]Abir Rahali
DIDroid: Android Malware Classification and Characterization Using Deep Image Learning. ICCNS 2020: 70-82
2010 – 2019
- 2019
- [j5]Iman Sharafaldin, Arash Habibi Lashkari
An evaluation framework for network security visualizations. Comput. Secur. 84: 70-92 (2019) - [j4]Arash Habibi Lashkari
A Survey on User Profiling Model forAnomaly Detection in Cyberspace. J. Cyber Secur. Mobil. 8(1): 75-112 (2019) - [c20]Kwasi Boakye-Boateng
Securing GOOSE: The Return of One-Time Pads. ICCST 2019: 1-8 - [c19]Iman Sharafaldin, Arash Habibi Lashkari
Developing Realistic Distributed Denial of Service (DDoS) Attack Dataset and Taxonomy. ICCST 2019: 1-8 - [c18]Laya Taheri, Andi Fitriah Abdul Kadir
Extensible Android Malware Detection and Family Classification Using Network-Flows and API-Calls. ICCST 2019: 1-8 - 2018
- [c17]Saeed Shafiee Hasanabadi, Arash Habibi Lashkari
The Next Generation of Robust Linux Memory Acquisition Technique via Sequential Memory Dumps at Designated Time Intervals. ICCST 2018: 1-6 - [c16]Arash Habibi Lashkari
Toward Developing a Systematic Approach to Generate Benchmark Android Malware Datasets and Classification. ICCST 2018: 1-7 - [c15]Iman Sharafaldin, Arash Habibi Lashkari
Toward Generating a New Intrusion Detection Dataset and Intrusion Traffic Characterization. ICISSP 2018: 108-116 - [c14]Iman Sharafaldin, Arash Habibi Lashkari
A Detailed Analysis of the CICIDS2017 Data Set. ICISSP (Revised Selected Papers) 2018: 172-188 - 2017
- [j3]Rongxing Lu
A Lightweight Privacy-Preserving Data Aggregation Scheme for Fog Computing-Enhanced IoT. IEEE Access 5: 3302-3312 (2017) - [c13]Arash Habibi Lashkari
A Survey Leading to a New Evaluation Framework for Network-based Botnet Detection. ICCNS 2017: 59-66 - [c12]Arash Habibi Lashkari
CIC-AB: Online ad blocker for browsers. ICCST 2017: 1-7 - [c11]Iman Sharafaldin, Amirhossein Gharib, Arash Habibi Lashkari
BotViz: A memory forensic-based botnet detection and visualization approach. ICCST 2017: 1-8 - [c10]Arash Habibi Lashkari
Characterization of Tor Traffic using Time based Features. ICISSP 2017: 253-262 - [c9]Arash Habibi Lashkari
Towards a Network-Based Framework for Android Malware Detection and Characterization. PST 2017: 233-234 - [c8]Xichen Zhang, Arash Habibi Lashkari
A Lightweight Online Advertising Classification System using Lexical-based Features. SECRYPT 2017: 486-494 - 2016
- [j2]Mazdak Zamani
Innovations in Communications Security. J. Electr. Comput. Eng. 2016: 4743084:1 (2016) - [c7]Gerard Draper-Gil, Arash Habibi Lashkari
Characterization of Encrypted and VPN Traffic using Time-related Features. ICISSP 2016: 407-414 - [c6]Mohammad Saiful Islam Mamun, Mohammad Ahmad Rathore, Arash Habibi Lashkari
Detecting Malicious URLs Using Lexical Analysis. NSS 2016: 467-482 - 2015
- [j1]Nasrin Badie, Ab Razak Che Hussin
Cloud Computing Data Center Adoption Factors Validity By Fuzzy AHP. Int. J. Comput. Intell. Syst. 8(5): 854-873 (2015) - 2012
- [c5]Behrang Parhizkar, Waqas Khalid Obeidy, Shahan Ahmad Chowdhury
Android mobile augmented reality application based on different learning theories for primary school children. ICMCS 2012: 404-408 - 2011
- [c4]Arash Habibi Lashkari
A Secure Recognition Based Graphical Password by Watermarking. CIT 2011: 164-170 - [c3]Arash Habibi Lashkari
Security Evaluation for Graphical Password. DICTAP (1) 2011: 431-444 - [c2]Arash Habibi Lashkari
A Wide Survey on Botnet. DICTAP (1) 2011: 445-454 - [c1]Ahmed A. Sabeeh, Arash Habibi Lashkari:
Users' perceptions on mobile devices security awareness in Malaysia. ICITST 2011: 428-435 - [i3]Behrang Parhizkar, Ashraf Abbas M. Al-Modwahi, Arash Habibi Lashkari, Mohammad Mehdi Bartaripou, Hossein Reza Babae:
A Survey on Web-based AR Applications. CoRR abs/1111.2993 (2011) - 2010
- [i2]Arash Habibi Lashkari, Rosli Saleh, Samaneh Farmand, Omar Bin Zakaria:
A Wide range Survey on Recall Based Graphical User Authentications Algorithms Based on ISO and Attack Patterns. CoRR abs/1001.1962 (2010)
2000 – 2009
- 2009
- [i1]Arash Habibi Lashkari, Samaneh Farmand, Omar Bin Zakaria, Rosli Saleh:
Shoulder Surfing attack in graphical password authentication. CoRR abs/0912.0951 (2009)
Coauthor Index
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last updated on 2024-11-07 21:37 CET by the dblp team
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