IoT Security Insights from GeekPwn2018: OBD‑2 Vulnerabilities and Attack Scenarios

The article reports on the GeekPwn2018 security competition in Shanghai, highlighting JD security teams' IoT research, explaining how OBD‑2 based car insurance devices can be hijacked, and stressing the urgent need for stronger IoT protection against physical‑layer attacks.

IoT securityJD SecurityOBD-2

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IoT Security Insights from GeekPwn2018: OBD‑2 Vulnerabilities and Attack Scenarios

JD Tech

Oct 11, 2018 · Information Security

Multi‑Architecture Fuzzing Technique Presented by JD Security Lab at BRUCON

JD Security researchers attended the BRUCON conference to unveil a new fuzz‑testing operation that extends AFL with custom instrumentation, enabling faster testing across multiple CPU architectures and overcoming the limitations of existing fuzzers for closed‑source and non‑x86 systems.

BRUCONJD SecurityMulti-Architecture

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Multi‑Architecture Fuzzing Technique Presented by JD Security Lab at BRUCON

JD Tech

Aug 20, 2018 · Artificial Intelligence

Understanding AI Black‑Box Risks and Security: From Adversarial Samples to JD's Explainable AI Solution

The article explains how the black‑box nature of deep learning creates security risks such as adversarial attacks, describes real‑world examples in autonomous driving and medical imaging, and showcases JD Security's explainable AI system that demystifies model decisions to improve AI safety and industry adoption.

AI securityDeep LearningJD Security

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Understanding AI Black‑Box Risks and Security: From Adversarial Samples to JD's Explainable AI Solution