Visible to the public Biblio

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2021-03-15
Bao, L., Wu, S., Yu, S., Huang, J..  2020.  Client-side Security Assessment and Security Protection Scheme for Smart TV Network. 2020 IEEE 6th International Conference on Computer and Communications (ICCC). :573—578.

TV networks are no longer just closed networks. They are increasingly carrying Internet services, integrating and interoperating with home IoT and the Internet. In addition, client devices are becoming intelligent. At the same time, they are facing more security risks. Security incidents such as attacks on TV systems are commonplace, and there are many incidents that cause negative effects. The security protection of TV networks mainly adopts security protection schemes similar to other networks, such as constructing a security perimeter; there are few security researches specifically carried out for client-side devices. This paper focuses on the mainstream architecture of the integration of HFC TV network and the Internet, and conducts a comprehensive security test and analysis for client-side devices including EOC cable bridge gateways and smart TV Set-Top-BoX. Results show that the TV network client devices have severe vulnerabilities such as command injection and system debugging interfaces. Attackers can obtain the system control of TV clients without authorization. In response to the results, we put forward systematic suggestions on the client security protection of smart TV networks in current days.

2018-05-09
Douros, V. G., Riihijärvi, J., Mähönen, P..  2017.  Network economics of SDN-based infrastructures: Can we unlock value through ICN multicast? 2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC). :1–5.

Software-defined networking (SDN) is enabling radically easier deployment of new routing infrastructures in enterprise and operator networks. However, it is not clear how to best exploit this flexibility, when also considering the migration costs. In this paper, we use tools from network economics to study a recent proposal of using information-centric networking (ICN) principles on an SDN infrastructure for improving the delivery of Internet Protocol (IP) services. The key value proposition of this IP-over-ICN approach is to use the native and lightweight multicast service delivery enabled by the ICN technology to reduce network load by removing redundant data. Our analysis shows that for services where IP multicast delivery is technically feasible, IP-over-ICN deployments are economically sensible if only few users will access the given service simultaneously. However, for services where native IP multicast is not a technically feasible option, such as for dynamically generated or personalized content, IP-over-ICN significantly outperforms IP.

2015-05-05
Quan Jia, Huangxin Wang, Fleck, D., Fei Li, Stavrou, A., Powell, W..  2014.  Catch Me If You Can: A Cloud-Enabled DDoS Defense. Dependable Systems and Networks (DSN), 2014 44th Annual IEEE/IFIP International Conference on. :264-275.

We introduce a cloud-enabled defense mechanism for Internet services against network and computational Distributed Denial-of-Service (DDoS) attacks. Our approach performs selective server replication and intelligent client re-assignment, turning victim servers into moving targets for attack isolation. We introduce a novel system architecture that leverages a "shuffling" mechanism to compute the optimal re-assignment strategy for clients on attacked servers, effectively separating benign clients from even sophisticated adversaries that persistently follow the moving targets. We introduce a family of algorithms to optimize the runtime client-to-server re-assignment plans and minimize the number of shuffles to achieve attack mitigation. The proposed shuffling-based moving target mechanism enables effective attack containment using fewer resources than attack dilution strategies using pure server expansion. Our simulations and proof-of-concept prototype using Amazon EC2 [1] demonstrate that we can successfully mitigate large-scale DDoS attacks in a small number of shuffles, each of which incurs a few seconds of user-perceived latency.