Conference proceedings
Naylor, M., Moore, S., Mokhov, A., Thomas, D., Beaumont, J., Fleming, S., Markettos, AT., Bytheway, T. and Brown, A., 2020. Termination detection for fine-grained message-passing architectures 2020 IEEE 31st International Conference on Application-specific Systems, Architectures and Processors (ASAP),
Doi: 10.1109/ASAP49362.2020.00012
Balakrishnan, N., Carata, L., Bytheway, T., Sohan, R. and Hopper, A., 2017. Non-repudiable disk I/O in untrusted kernels Proceedings of the 8th Asia-Pacific Workshop on Systems, APSys 2017,
Doi: 10.1145/3124680.3124745
Jenkinson, GC., Carata, L., Balakrishnan, N., Bytheway, T., Sohan, R., Watson, RNM., Anderson, J., Kidney, B., Strnad, A., Thomas, A. and Neville-Neil, G., 2017. Applying Provenance in APT Monitoring and Analysis: Practical Challenges for Scalable, Efficient and Trustworthy Distributed Provenance 9th {USENIX} Workshop on the Theory and Practice of Provenance (TaPP 2017),
Balakrishnan, N., Bytheway, T., Sohan, R. and Hopper, A., 2014. Report from the CoalFace: Lessons learnt building a general-purpose always-on provenance system 6th Workshop on the Theory and Practice of Provenance, TaPP 2014,
Soman, J., Bytheway, T., Carata, L., Balakrishnan, N., Sohan, R. and Watson, R., Structural Analysis of Whole-System Provenance Graphs
Naylor, M., Moore, SW., Thomas, D., Beaumont, JR., Fleming, S., Vousden, M., Markettos, AT., Bytheway, T. and Brown, A., General hardware multicasting for fine-grained message-passing architectures 2021 29th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP),
Doi: 10.1109/PDP52278.2021.00028
Balakrishnan, A., Bytheway, T., Sohan, RS. and Hopper, A., OPUS: A Lightweight system for Observational Provenance in User Space
Journal articles
Carata, L., Akoush, S., Balakrishnan, N., Bytheway, T., Sohan, R., Selter, M. and Hopper, A., 2014. A primer on provenance Communications of the ACM, v. 57
Doi: 10.1145/2596628
Carata, L., Akoush, S., Balakrishnan, N., Bytheway, T., Sohan, R., Seltzer, M. and Hopper, A., 2014. Better understanding data requires tracking its history and context Queue, v. 12
Doi: 10.1145/2602649.2602651