Justin Furuness (University of Connecticut), Cameron Morris (University of Connecticut), Reynaldo Morillo (University of Connecticut), Arvind Kasiliya (University of Connecticut), Bing Wang (University of Connecticut), Amir Herzberg (University of Connecticut)

Before the adoption of Route Origin Validation (ROV), prefix and subprefix hijacks were the most effective and common attacks on BGP routing. Recent works show that ROV adoption is increasing rapidly; with sufficient ROV adoption, prefix and subprefix attacks become ineffective.
We study this changing landscape and in particular the Autonomous System Provider Authorization (ASPA) proposal,
which focuses on route leakage but also foils some other
attacks.

Using recent measurements of real-world ROV adoption, we evaluate its security impact. Our simulations show substantial impact: emph{already today}, prefix hijacks are less effective than forged-origin hijacks, and the effectiveness of subprefix hijacks is much reduced.
Therefore, we expect attackers to move to forged-origin hijacks and other emph{post-ROV attacks}; we present a new, powerful post-ROV attack, emph{spoofing}.

We present extensive evaluations of different post-ROV defenses and attacks. Our results show that ASPA significantly protects against post-ROV attacks, even in partial adoption. It dramatically improves upon the use of only ROV or of BGPsec, Path-End, OTC, and EdgeFilter. BGP-iSec has even better protection but requires public-key operations to export/import announcements. We also present ASPAwN, an extension that further improves ASPA's performance. Our results show that contrary to prior works [74], [95], ASPA is effective even when tier-1 ASes are not adopting, hence motivating ASPA adoption at edge and intermediate ASes.
On the other hand, we find that against
emph{accidental} route leaks, the simpler, standardized OTC mechanism is as effective as ASPA.

View More Papers

Repurposing Neural Networks for Efficient Cryptographic Computation

Xin Jin (The Ohio State University), Shiqing Ma (University of Massachusetts Amherst), Zhiqiang Lin (The Ohio State University)

Read More

RContainer: A Secure Container Architecture through Extending ARM CCA...

Qihang Zhou (Institute of Information Engineering, Chinese Academy of Sciences), Wenzhuo Cao (Institute of Information Engineering, Chinese Academy of Sciences; School of Cyberspace Security, University of Chinese Academy of Sciences), Xiaoqi Jia (Institute of Information Engineering, Chinese Academy of Sciences), Peng Liu (The Pennsylvania State University, USA), Shengzhi Zhang (Department of Computer Science, Metropolitan College,…

Read More

Non-intrusive and Unconstrained Keystroke Inference in VR Platforms via...

Tao Ni (City University of Hong Kong), Yuefeng Du (City University of Hong Kong), Qingchuan Zhao (City University of Hong Kong), Cong Wang (City University of Hong Kong)

Read More

Siniel: Distributed Privacy-Preserving zkSNARK

Yunbo Yang (The State Key Laboratory of Blockchain and Data Security, Zhejiang University), Yuejia Cheng (Shanghai DeCareer Consulting Co., Ltd), Kailun Wang (Beijing Jiaotong University), Xiaoguo Li (College of Computer Science, Chongqing University), Jianfei Sun (School of Computing and Information Systems, Singapore Management University), Jiachen Shen (Shanghai Key Laboratory of Trustworthy Computing, East China Normal…

Read More