Abstract
Online trading protocols enable participants to trade, barter, or sell goods and services over a private network or the global Net. Due to diversity of network and computational resources at their disposal, participants communicate and carry out their trading with different latencies. This scenario may give rise to latency attacks, where malicious parties (a.k.a. fast traders) exploit lower latency to attack trading protocols’ fairness and increase their income. With the advent of the cloud, the problem of identifying and preventing latency attacks is exacerbated by the fact that cloud providers and privileged users could collude to make latency attacks simpler and more effective. In this paper, we give an overview of network and storage latency attacks in multi-party trading protocols, focusing on cloud peculiarities and providing some empirical recommendations for protocol design.
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References
Akerson, D., Onufryk, P.: NVM Express: Optimizing for PCle SSD Performance. Storage Networking Industry Association (2013), (accessed in date September 2014)
Amazon: Amazon EC2 Service Level Agreement (June 2013), http://aws.amazon.com/ec2/sla/ , (accessed in date September 2014)
Anisetti, M., Ardagna, C.A., Damiani, E., Bonatti, P.A., Faella, M., Galdi, C., Sauro, L.: e-Auctions for multi-cloud service provisioning. In: Proc. of the 11th IEEE International Conference on Services Computing (SCC 2014), Anchorage, AL, USA (June–July 2014)
Arnuk, S., Saluzzi, J.: Latency Arbitrage: The Real Power Behind Predatory High Frequency Trading. Themis Trading LLC White Paper (2009), (accessed in date September 2014)
Casalicchio, E., Silvestri, L.: Mechanisms for SLA provisioning in cloud-based service providers. Computer Networks 57(3), 795–810 (2013)
Cheng, H.K., Li, Z., Naranjo, A.: Cloud Computing Spot Pricing Dynamics: Latency and Limits to Arbitrage (2012), (accessed in date September 2014)
Cheng, L., Wang, C.-L.: Network performance isolation for latency-sensitive cloud applications. Future Generation Computer Systems 29(4), 1073–1084 (2013)
Chua, K.C., Gurusamy, M., Liu, Y., Phung, M.H.: Relative QoS differentiation (chapter 3). In: Quality of Service in Optical Burst Switched Networks, pp. 73–90. Springer, US (2007)
Hasbrouck, J., Saar, G.: Low-latency trading. Journal of Financial Markets 16(4), 646–679 (2013)
Hewlett Packard (HP): Service Level Agreements for All Products, http://www.hpcloud.com/sla , (accessed in date September 2014)
Kim, H., Seshadri, S., Dickey, C.L., Chiu, L.: Phase change memory in enterprise storage systems: Silver bullet or snake oil? In: Proc. of the 1st Workshop on Interactions of NVM/FLASH with Operating Systems and Workloads (INFLOW 2013), Farmington, PA, USA (November 2013)
Lewis, M.: Flash Boys: A Wall Street Revolt. W. W. Norton & Company, New York (2014)
Lobo, N., Malik, V., Donnally, C., Jahne, S., Jhaveri, H.: Evaluating the Latency Impact of IPv6 on a High Frequency Trading System (2012), http://morse.colorado.edu/~tlen5710/12s/LatencyImpact.pdf , (accessed in date September 2014)
Phemius, K., Bouet, M.: Monitoring latency with openflow. In: Proc. of the 9th International Conference on Network and Service Management (CNSM 2013), Zürich, Switzerland (October 2013)
Sakr, S., Liu, A.: SLA-based and consumer-centric dynamic provisioning for cloud databases. In: Proc. of the 5th IEEE International Conference on Cloud Computing (CLOUD 2012), Honolulu, HI, Hawaii (June 2012)
Sernet, P.: Online commodities trading system with anonymous counter bid/offer function. Patent US US 09/731,542 (March 2002)
Shun, J., Blelloch, G.E., Fineman, J.T., Gibbons, P.B.: Reducing contention through priority updates. In: Proc. of the 18th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP 2013), Shenzhen, China (February 2013)
Tomanek, O., Kencl, L.: Claudit: Planetary-scale cloud latency auditing platform. In: Proc. of the 2nd IEEE International Conference on Cloud Networking (CloudNet 2013), San Francisco, CA, USA (November 2013)
Wah, E., Wellman, M.P.: Latency arbitrage, market fragmentation, and efficiency: A two-market model. In: Proc. of the 14th ACM Conference on Electronic Commerce (EC 2013), Philadelphia, PA, USA (June 2013)
Zhao, L., Ren, Y., Li, M., Sakurai, K.: Flexible service selection with user-specific qos support in service-oriented architecture. Journal of Network and Computer Applications 35(3), 962–973 (2012)
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Ardagna, C.A., Damiani, E. (2014). Network and Storage Latency Attacks to Online Trading Protocols in the Cloud. In: Meersman, R., et al. On the Move to Meaningful Internet Systems: OTM 2014 Workshops. OTM 2014. Lecture Notes in Computer Science, vol 8842. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45550-0_20
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DOI: https://doi.org/10.1007/978-3-662-45550-0_20
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