Gaetano Coppoletta (University of Illinois Chicago), Rigel Gjomemo (Discovery Partners Institute, University of Illinois), Amanjot Kaur, Nima Valizadeh (Cardiff University), Venkat Venkatakrishnan (Discovery Partners Institute, University of Illinois), Omer Rana (Cardiff University)

In the last decade, electric vehicles (EVs) have moved from a niche of the transportation sector to its most innovative, dynamic, and growing sector. The associated EV charging infrastructure is closely following behind. One of the main components of such infrastructure is the Open Charge Point Protocol (OCPP), which defines the messages exchanged between charging stations and central management systems owned by charging companies. This paper presents OCPPStorm, a tool for testing the security of OCPP implementations. OCPPStorm is designed as a black box testing tool, in order to be able to deal with different implementations, independently of their deployment peculiarities, platforms, or languages used. In particular, OCPPStorm applies fuzzing techniques to the OCPP messages to identify errors in the message management and find vulnerabilities among those errors. It’s efficacy is demonstrated through extensive testing on two open-source OCPP systems, revealing its proficiency in uncovering critical security flaws, among which 5 confirmed CVEs and 7 under review. OCPPSTorm’s goal is to bolster the methodological approach to OCPP security testing, thereby reinforcing the reliability and safety of the EV charging ecosystem.

View More Papers

TALISMAN: Tamper Analysis for Reference Monitors

Frank Capobianco (The Pennsylvania State University), Quan Zhou (The Pennsylvania State University), Aditya Basu (The Pennsylvania State University), Trent Jaeger (The Pennsylvania State University, University of California, Riverside), Danfeng Zhang (The Pennsylvania State University, Duke University)

Read More

A Comparison of Three Approaches to Assist Users in...

Michael Clark (Brigham Young University), Scott Ruoti (The University of Tennessee), Michael Mendoza (Imperial College London), Kent Seamons (Brigham Young University)

Read More

NODLINK: An Online System for Fine-Grained APT Attack Detection...

Shaofei Li (Key Laboratory of High-Confidence Software Technologies (MOE), School of Computer Science, Peking University), Feng Dong (Huazhong University of Science and Technology), Xusheng Xiao (Arizona State University), Haoyu Wang (Huazhong University of Science and Technology), Fei Shao (Case Western Reserve University), Jiedong Chen (Sangfor Technologies Inc.), Yao Guo (Key Laboratory of High-Confidence Software Technologies…

Read More

WIP: An Adaptive High Frequency Removal Attack to Bypass...

Yuki Hayakawa (Keio University), Takami Sato (University of California, Irvine), Ryo Suzuki, Kazuma Ikeda, Ozora Sako, Rokuto Nagata (Keio University), Qi Alfred Chen (University of California, Irvine), Kentaro Yoshioka (Keio University)

Read More