I am in my final year as a PhD student at the Centre for Doctoral Training in Cyber Security, University of Oxford, under the supervision of Professsor Ivan Martinovic. Prior to starting my PhD, I received an MSc degree with distinction in Computer Science and Engineering with concentration on Network and Information Assurance from Santa Clara University, USA. My previous work experience includes lecturer at King Saud University, Cisco Systems and the Internet Services Operation Security team at Apple, Cupertino. My research involves classification and detection of malware using Machine Learning, improving the security monitoring in Security Operation Centres (SOCs), network security, and the detection of insider threats using Natural Language Processing. I am also investigating the application of Software Defined Networking (SDN) for the active monitoring and detection of malware. I received numerous awards such as the Google Anita Borg Scholarship in 2016, Klaus Brunnstein Award 2016, and Kellogg College Anne McLaren Award in 2017. I am passionate about volunteering, co-founding an initiative inspireHer with support from Google to encourage girls to code in an early age. I also organised workshops at the Annual Hay Festival in the United Kingdom to teach children to code using robotics.
I was recently invited to be part of a panel on Machine Learning, Big Data & Smart Analytics on Google Cloud as well as present a talk titled: Know Yourself, Know Your Enemy: Detecting Anomalous Behavior Using Machine Learning at Google Cloud Next UK 2019.
Using Internet Activity Profiling for Insider−Threat Detection
Bushra A. Alahmadi‚ Philip .A. Legg and Jason R. C. Nurse
In 17th International Conference on Enterprise Information Systems (ICEIS). Pages 709–720. 2015.
Sonification in Security Operations Centres: What do Security Practitioners Think?
Louise M. Axon‚ Bushra Alahmadi‚ Jason R. C. Nurse‚ Michael Goldsmith and Sadie Creese
In Workshop on Usable Security (USEC) at the Network and Distributed System Security (NDSS) Symposium. Internet Society. 2018.
MalClassifier: Malware Family Classification Using Network Flow Sequence Behaviour
Bushra A. AlAhmadi and Ivan Martinovic
In 2018 APWG Symposium on Electronic Crime Research (eCrime). Pages 1−13. May, 2018.