Biblio

Filters: Author is Asghar, Hassan Jameel  [Clear All Filters]
2017-08-02
Asghar, Hassan Jameel, Melis, Luca, Soldani, Cyril, De Cristofaro, Emiliano, Kaafar, Mohamed Ali, Mathy, Laurent.  2016.  SplitBox: Toward Efficient Private Network Function Virtualization. Proceedings of the 2016 Workshop on Hot Topics in Middleboxes and Network Function Virtualization. :7–13.

This paper presents SplitBox, an efficient system for privacy-preserving processing of network functions that are outsourced as software processes to the cloud. Specifically, cloud providers processing the network functions do not learn the network policies instructing how the functions are to be processed. First, we propose an abstract model of a generic network function based on match-action pairs. We assume that this function is processed in a distributed manner by multiple honest-but-curious cloud service providers. Then, we introduce our SplitBox system for private network function virtualization and present a proof-of-concept implementation on FastClick, an extension of the Click modular router, using a firewall as a use case. Our experimental results achieve a throughput of over 2 Gbps with 1 kB-sized packets on average, traversing up to 60 firewall rules.

2017-09-19
Asghar, Hassan Jameel, Melis, Luca, Soldani, Cyril, De Cristofaro, Emiliano, Kaafar, Mohamed Ali, Mathy, Laurent.  2016.  SplitBox: Toward Efficient Private Network Function Virtualization. Proceedings of the 2016 Workshop on Hot Topics in Middleboxes and Network Function Virtualization. :7–13.

This paper presents SplitBox, an efficient system for privacy-preserving processing of network functions that are outsourced as software processes to the cloud. Specifically, cloud providers processing the network functions do not learn the network policies instructing how the functions are to be processed. First, we propose an abstract model of a generic network function based on match-action pairs. We assume that this function is processed in a distributed manner by multiple honest-but-curious cloud service providers. Then, we introduce our SplitBox system for private network function virtualization and present a proof-of-concept implementation on FastClick, an extension of the Click modular router, using a firewall as a use case. Our experimental results achieve a throughput of over 2 Gbps with 1 kB-sized packets on average, traversing up to 60 firewall rules.

2017-07-24
Melis, Luca, Asghar, Hassan Jameel, De Cristofaro, Emiliano, Kaafar, Mohamed Ali.  2016.  Private Processing of Outsourced Network Functions: Feasibility and Constructions. Proceedings of the 2016 ACM International Workshop on Security in Software Defined Networks & Network Function Virtualization. :39–44.

Aiming to reduce the cost and complexity of maintaining networking infrastructures, organizations are increasingly outsourcing their network functions (e.g., firewalls, traffic shapers and intrusion detection systems) to the cloud, and a number of industrial players have started to offer network function virtualization (NFV)-based solutions. Alas, outsourcing network functions in its current setting implies that sensitive network policies, such as firewall rules, are revealed to the cloud provider. In this paper, we investigate the use of cryptographic primitives for processing outsourced network functions, so that the provider does not learn any sensitive information. More specifically, we present a cryptographic treatment of privacy-preserving outsourcing of network functions, introducing security definitions as well as an abstract model of generic network functions, and then propose a few instantiations using partial homomorphic encryption and public-key encryption with keyword search. We include a proof-of-concept implementation of our constructions and show that network functions can be privately processed by an untrusted cloud provider in a few milliseconds.