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ORCIDMuhammad Lutfor Rahman
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- affiliation: California State University San Marcus, CA, USA
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2020 – today
- 2024
[c11]Daniel Timko
, Muhammad Lutfor Rahman:
Smishing Dataset I: Phishing SMS Dataset from Smishtank.com. CODASPY 2024: 289-294- [i7]Daniel Timko, Muhammad Lutfor Rahman:
Smishing Dataset I: Phishing SMS Dataset from Smishtank.com. CoRR abs/2402.18430 (2024) - 2023
- [c10]Torsha Mazumdar, Daniel Timko, Muhammad Lutfor Rahman:
Are Current CCPA Compliant Banners Conveying User's Desired Opt-Out Decisions? An Empirical Study of Cookie Consent Banners. CANS 2023: 186-207 - [c9]Md. Lutfor Rahman, Daniel Timko, Hamid Wali, Ajaya Neupane:
Users Really Do Respond To Smishing. CODASPY 2023: 49-60 - [c8]Amani Mohammed Alqarni, Daniel Timko, Muhammad Lutfor Rahman:
Saudi Arabian Perspective of Security, Privacy, and Attitude of Using Facial Recognition Technology. PST 2023: 1-12 - [c7]Daniel Timko, Muhammad Lutfor Rahman:
Commercial Anti-Smishing Tools and Their Comparative Effectiveness Against Modern Threats. WISEC 2023: 1-12 - [i6]Amani Mohammed Alqarni, Daniel Timko, Muhammad Lutfor Rahman:
Saudi Arabian Perspective of Security, Privacy, and Attitude of Using Facial Recognition Technology. CoRR abs/2307.07671 (2023) - [i5]Torsha Mazumdar, Daniel Timko, Muhammad Lutfor Rahman:
Are Current CCPA Compliant Banners Conveying User's Desired Opt-Out Decisions? An Empirical Study of Cookie Consent Banners. CoRR abs/2309.00776 (2023) - [i4]Daniel Timko, Muhammad Lutfor Rahman:
Commercial Anti-Smishing Tools and Their Comparative Effectiveness Against Modern Threats. CoRR abs/2309.07447 (2023) - [i3]Daniel Timko, Daniel Hernandez Castillo, Muhammad Lutfor Rahman:
More Than 50% Of The Time, Users Detect Real SMS as Fake: A Smishing Detection Study Of US Population. CoRR abs/2311.06911 (2023) - 2022
- [i2]Muhammad Lutfor Rahman, Daniel Timko, Hamid Wali, Ajaya Neupane:
Users really do respond to smishing. CoRR abs/2212.13312 (2022) - 2020
- [b1]Md. Lutfor Rahman:
Towards Improving Cybersecurity and Augmenting Human Training Performance Using Brain Imaging Techniques. University of California, Riverside, USA, 2020
2010 – 2019
- 2019
- [c6]Abdullah Al Munzir, Md. Lutfor Rahman, Sheikh Abujar, Ohidujjaman, Syed Akhter Hossain:
Text analysis for Bengali Text Summarization using Deep Learning. ICCCNT 2019: 1-6 - [i1]Wookhyun Han, Md. Lutfor Rahman, Yuxuan Chen, Chengyu Song, Byoungyoung Lee, Insik Shin:
SynFuzz: Efficient Concolic Execution via Branch Condition Synthesis. CoRR abs/1905.09532 (2019) - 2018
- [c5]Md. Lutfor Rahman, Ajaya Neupane, Chengyu Song:
IAC: On the Feasibility of Utilizing Neural Signals for Access Control. ACSAC 2018: 641-652 - [c4]Md. Lutfor Rahman, Sharmistha Bardhan, Ajaya Neupane, Evangelos E. Papalexakis, Chengyu Song:
Learning Tensor-Based Representations from Brain-Computer Interface Data for Cybersecurity. ECML/PKDD (3) 2018: 389-404 - 2017
- [c3]Ajaya Neupane, Md. Lutfor Rahman, Nitesh Saxena:
PEEP: Passively Eavesdropping Private Input via Brainwave Signals. Financial Cryptography 2017: 227-246 - 2015
- [c2]Ajaya Neupane, Md. Lutfor Rahman, Nitesh Saxena, Leanne M. Hirshfield:
A Multi-Modal Neuro-Physiological Study of Phishing Detection and Malware Warnings. CCS 2015: 479-491 - 2013
- [c1]Mainul Mizan, Md. Lutfor Rahman, Rasib Khan, Munirul M. Haque, Ragib Hasan:
Accountable proof of ownership for data using timing element in cloud services. HPCS 2013: 57-64
Coauthor Index
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last updated on 2024-10-07 21:20 CEST by the dblp team
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