Reader (Associate Professor)
Lorenzo Cavallaro is a Reader (Associate Professor) of Information Security in the Information Security Group at Royal Holloway University of London. His research interests focus on systems security, and malware analysis and detection.
Lorenzo is Principal Investigator on the 4-year EPSRC-funded BACCHUS grant EP/L022710/1 "MobSec: Malware and Security in the Mobile Age" (Jun 2014--Jun 2018), Principal Investigator on the 3-year EPSRC-funded CEReS grant EP/K033344/1 "Mining the Network Behavior of Bots" (Jun 2013--May 2016), co-Investigator on the 3.5 years EPSRC- and GCHQ-grant EP/K006266/1 "Cyber Security Cartographies (CySeCa)" (Oct 2012--Mar 2016), Academic Partner of the EPSRC-funded "Network in Internet and Mobile Malicious Software (NIMBUS)" (Nov 2012--Oct 2015), Associate Member of the EU FP7 NoE SysSec and member of the SysSec RedBook (http://www.red-book.eu) Task Force, and Partner of the EU FP7 CSA CyberROAD aimed at the development of a cybercrime and cyber-terrorism research roadmap. He is author and co-author of several papers and has published in well-known venues and served as PC member and reviewer of various conferences and journals. He was Program co-Chair of WISTP 2013, and has delivered "Malicious Software and its Underground Economy: Two Sides to Every Story", a MOOC Coursera course (40,000+ enrolled students) in June 2013, with a second edition scheduled for April 28 2014.
Before joining the ISG, Lorenzo was a Post-Doc at VU Amsterdam working on systems dependability (Prof. A. S. Tanenbaum), malware analysis, and memory errors (Prof. H. J. Bos). He was also a Post-Doc at UC Santa Barbara (UCSB), working on botnet analysis and detection (Profs C. Kruegel and G. Vigna). At UCSB, Lorenzo co-authored the paper titled "Your Botnet is My Botnet: Analysis of a Botnet Takeover", which reports on the team efforts on taking over a real-world botnet (ACM CCS & UCSB CS Outstanding Publication Award). During his PhD, Lorenzo was a long-term visiting PhD scholar at Stony Brook University working on memory errors and taint analysis (Prof. R. Sekar).