As governments in India plan more e-bikes on the roads to help combat traffic congestion, such as any Internet-connected device, hackers can cause a series of attacks in e-scooters, in which users But includes eavesdropping and even spoofing GPS systems to direct riders. Unexpected locations warn researchers, including some of Indian origin. Researchers at the University of Texas at San Antonio said vendors of microbeability vehicles may also face denial-of-service (DoS) attacks and data leaks.
“We have identified a variety of weak points or attack surfaces in existing ride-sharing, or microbeability, and ecosystems that range from potentially defending riders’ private data by malicious opponents to service providers and remotely Can cause economic losses. Controlling the behavior and operation of vehicles, “said Jadliwala.
The micromobility e-scooter analysis was done by Jadliwala with graduate students Nisha Vinayaga-Sureshkanth, Raveen Wijewickrama and post-doctoral fellow Anindya Maiti.
According to the MarketsMarkets research firm, the global e-bike market is projected to grow at a CAGR of 9.01 percent to reach $ 38.6 billion by 2025 from an estimated $ 21.1 billion in 2018.
The University’s computer science experts have published the first review of security and privacy risks by e-scooters and their associated software services and applications.
According to the review, to appear in the proceedings of the 2 ACM Workshop on Automotive and Aerial Vehicle Security (AutoSec 2020), hackers may cause a series of attacks.
Some e-scooter models communicate with the rider’s smartphone over a Bluetooth low energy channel.
With malicious intent anyone can speak eavesdropping on these wireless channels and listen to data exchanges between scooters and riders’ smartphone apps by easily and cheaply accessible hardware and software tools such as Ubertooth and WireShark.
Those who sign up to use e-scooters also offer a great deal of personal and sensitive data beyond just billing information.
According to the study, providers automatically collect other analytics, such as location and personal vehicle information.
This data can be pieced together to generate a personal profile that may include a rider’s preferred route, personal interest, and home and work location.
Jadliwala said, “Cities are facing explosive population growth. Microbiability promises to transport people in a more sustainable, fast and affordable fashion,” Jadliwala said.