Muhammad Ikram's personal homepage

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Muhammad Ikram [Khan]

Joint Postdoctoral Scholar at University of Michigan (USA) and Macquarie University (Australia)

Email: muhammad.ikram [at] mq.edu.au

[Google Scholar] [DBLP] [LinkedIn] [ORCID]

News:

>>> July 2019: Our paper received the Best Paper Award at ACM AsiaCCS 2019!

>>> July 2019: Our paper on longitudinal analysis of ads and tracking services accepted by LCN 2019.

>>> May 2019: Our paper on obfuscation resilient Android malware detection accepted by SeCrypt 2019.

>>> Apr 2019: AsiaCCS'2019 accepts our paper on analysis of 10 years of malicious activities in the Internet.

>>> Jan 2019: Our paper on Web chain of resource-depedencies accepted by WWW'2019.

>>> Nov 2018: Our paper on analysis of web tracking via DNS records accepted by Journal of Computer Communications.

>>> Oct 2018: Attended OTF Summit in Taiwan and presented server-side blocking project.

>>> Jul 2018: Start work on OTF-funded project to characterize discriminations of online services.

>>> Sep 2018: Paper accepted by IPCCC'18 on Web tracking cartography with DNS records.

>>> Apr 2018: Paper on Web data obfuscation presented in WWW'18.

Biography

I collaborate with Prof. Roya Ensafi at Censored Planet and Prof. Mohamed Ali (Dali) Kaafar at Optus Macquarie University Cyber Security Hub (OMUCH). Before joining Censored Planet and OMUCH, I completed my Ph.D. in Electrical Engineering at UNSW, under the supervision of Prof. Mohamed Ali (Dali) Kaafar. My current research interests are focused on data-driven analysis of privacy and security issues. I have been thinking and working to built techniques leveraging machine-learning algorithms to fight against security and privacy issues and fraud detection targeting online services.

Education

Recent Papers (Complete List on Google Scholar)

  1. ​Saad Sajid Hashmi, Muhammad Ikram, and Mohamed Ali Kaafar, A Longitudinal Analysis of Online Ad-Blocking Blacklists, in the 44th The 44th IEEE Conference on Local Computer Networks (LCN) 2019.

  2. Muhammad Ikram, Pierrick Beaume, and Mohamed Ali Kaafar, DaDiDroid: An Obfuscation Resilient Tool for Detecting Android Malware via Weighted Directed Call Graph Modelling, in the 16th International Conference on Security and Cryptography (SECRYPT) 2019.

  3. ​Benjamin Zi Hao Zhao, Muhammad Ikram, Hassan Asghar, Mohamed Ali Kaafar, Abdelberi Chaabane, and Kanchana Thilakarathna, A Decade of Mal-Activity Reporting: A Retrospective Analysis of Internet Malicious Activity Blacklists, in the 14th ACM Asia Computer Communication and Security (AsiaCCS) 2019 (Acceptance rate: 17%). [Analysis code and dataset, Slides] [Best Paper Award]

  4. Muhammad Ikram, Rahat Masood Masood, Gareth Tyson, Mohamed Ali Kaafar, Noha Loizon, and Roya Ensafi, The Chain of Implicit Trust: An Analysis of the Web Third-party Resources Loading, in The Web Conference, WWW 2019 (Acceptance rate: 20%). Media Coverage (complete list): [ InnvationAus, CSIRO-Blog, The Canberra Times, Phys.org, Technology Decisions]

  5. ​Jingxiu Su, Zhenyu Li, Stephane Grumbach, Muhammad Ikram, Kave Salamatian, Gaogang Xie, A Cartography of Web Tracking using DNS Records, in Journal of Computer Communications , 2019. [IF: 2.613]

  6. ​Jingxiu Su, Zhenyu Li, Stephane Grumbach, Muhammad Ikram, Kave Salamatian, and Gaogang Xie, Web Tracking Cartography with DNS Records, in the IEEE 37th International Performance Computing and Communications Conference (IPCCC), 2018.

  7. Rahat Masood, Dinusha Vatsalan, Muhammad Ikram and Mohamed Ali Kaafar, Incognito: A Method for Obfuscating Web Data, in World Wide Web (WWW), 2018.

  8. Muhammad Ikram, Lucky Onwuzurike, Shehroze Farooqi, Emiliano De Cristofaro, Arik Friedman, Guillaume Jourjon, Mohamed Ali Kaafar, Zubair Shafiq, Measuring, Characterizing, Detecting Facebook Like Farms, in ACM Transaction on Privacy and Security (TOPS), 2017.

  9. Muhammad Ikram and Mohamed Ali Kaafar, A First Look at Ad Blocking Apps, in IEEE Network Computing and Application (NCA), 2017. [slides]

  10. Muhammad Ikram, Hassan Jameel Asghar, Mohamed Ali Kaafar, Balachander Krishnamurthy, Anirban Mahanti, Towards Seamless Tracking-Free Web: Improved Detection of Trackers via One-class Learning, in Privacy Enhancing Technologies Symposium (PETS), 2017. [Slides][Watch]

  11. ​Shehroze Farooqi, Muhammad Ikram, Emiliano De Cristofaro, Arik Friedman, Guillaume Jourjon, Mohamed Ali Kaafar, Fareed Zafar, Zubair Shafiq, Characterizing Key Stakeholders in an Online Black-Hat Marketplace, in IEEE eCrime Research Summit, 2017.

  12. Muhammad Ikram, Narseo Vallina-Rodriguez, Suranga Seneviratne, Mohamed Ali Kaafar, Vern Paxson, An analysis of the Privacy and Security Risks of Android VPN Permission-enabled Apps, in ACM SIGCOMM Internet Measurement Conference (IMC), 2016. [Slides]. Media Coverage (complete list): EFF, ITWire, Slashdot, Security Week, ABC News, TheRegister, Technology Decisions, SHM, …

  13. Muhammad Ikram, Hassan Asghar, Mohamed Ali Kaafar, Anirban Mahanti, On the Intrusiveness of JavaScript on the Web, in Proceedings of the 2014 CoNEXT on Student Workshop, 2014.

Technical Reports

  1. Muhammad Ikram, Lucky Onwuzurike, Emiliano De Cristofaro, Arik Friedman, Guillaume Jourjon, Mohamed Ali Kaafar, M Zubair Shafiq, Combating Fraud in Online Social Networks: Characterizing and Detecting Facebook Like Farms, arXiv:1506.00506v3, 2016.

  2. Muhammad Ikram, Lucky Onwuzurike, Emiliano De Cristofaro, Arik Friedman, Guillaume Jourjon, Mohamed Ali Kaafar, M Zubair Shafiq, Spying on Spammers: Tracking Like Farm Accounts on Facebook, arXiv:1506.00506, 2015. [in media, The Register]

  3. Shehroze Farooqi, Muhammad Ikram, Gohar Irfan, Emiliano De Cristofaro, Arik Friedman, Guillaume Jourjon, Mohamed Ali Kaafar, M Zubair Shafiq, Fareed Zaffar, Characterizing Seller-Driven Black-Hat Marketplaces, arXiv:1505.01637, 2015.