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Research on authentication protocols based on privacy protection policies is the main method to ensure the integrity, reliability, and identity privacy of message transmission. In order to resist forgery attacks, tampering attacks, replay attacks, and privacy leak attacks, researchers have studied many authentication schemes in the IoV or in-vehicle network. However, due to the low computing power of the ECU, solving the problems of vehicle network information security is still a huge challenge. Therefore, it is urgent to study the resistance to the invasion of external malicious nodes.Ĭonsidering that the security of in-vehicle networks directly threatens the security of users' lives and property, the information security problems caused by external devices have to be solved. If we only protect the vehicle network, such as data encryption, ECU authentication, data access control, which seems to be unable to play a decisive role, illegal devices can still inject malicious data frames into the vehicle network. The remote attacks on vehicles usually come from external networks or devices. Although studied the security of in-vehicle networks to address these emerging issues, these in-vehicle security schemes focus on ensuring secure communication between ECUs with little consideration for the security issues introduced by external devices connected to the vehicle. The broadcast data frame does not cover the source address and destination address. 2) The information data of in-vehicle network are transmitted in the form of broadcast and plaintext, such as in the CAN bus. The above security issues are attributed to the lack of security protection mechanism in the traditional in-vehicle network : 1) External devices have unrestricted access to in-vehicle data via wireless, Bluetooth, cellular network or OBD. In 2019, Tencent Cohen Lab can remotely gain the root privileges of the "Autopilot Electronic Control Unit (ECU)" module and control the steering system of the vehicle. The following year, Tencent Keen Security Lab again found multiple high-risk vulnerabilities of security in Tesla's in-vehicle network.
#Photo stamp remover license key 2017 blackhat password
In 2016, Tencent Keen Security Lab remotely reset the Bluetooth connection password of the Xiaomi Millet Nine Balancing Vehicle to achieve illegal manipulation. In the same year, Charlie Miller and Chris Valasek demonstrated the process of remotely attacking the Jeep Cherokee on-board system, including manipulation of speed, direction, brakes, and wipers.
#Photo stamp remover license key 2017 blackhat cracked
In 2015, the 360 Crack team successfully cracked Build Your Dreams (BYD) and Tesla intelligent vehicles through remote and short-range attacks. In 2013, Toyota Prius cars were attacked by a hacker through the On-Board Diagnostic (OBD) interface and the braking systems were illegally manipulated, which caused traffic accidents.
However, the interconnection of networks between vehicles brings various information security, which makes the attack surface of the internal vehicle networks rise sharply, especially for remote attacks. The rise of IoV technology has not only changed the way people travel, but also made people's driving environment more and more comfortable. Regarding security and soundness, as long as private keys are not cracked, the scheme can resist guessing attacks, which is more secure than the existing scheme. Finally, regarding time overhead, under the same parameters, compared with the existing scheme, the scheme can complete the authentication within 6.1ms without having to go through multiple rounds of interaction, which reduces the additional authentication delay and enables all private keys to participate in one round of authentication, thereby eliminating the possibility that a private key may not be involved in the original protocol.
#Photo stamp remover license key 2017 blackhat software
Then, we carried out a theoretical analysis of the scheme’s security and evaluated it on the software and hardware platform.
#Photo stamp remover license key 2017 blackhat verification
We used the method of zero-one reversal and two-to-one verification to solve the problem that FFS cannot effectively resist guessing attacks. Based on the remote attack model for vulnerabilities of the in-vehicle CAN, we designed an efficient and safe identity authentication scheme based on Feige-Fiat-Shamir (FFS) zero-knowledge identification scheme with extremely high soundness. However, with the integration of external networks and the vehicle networks, the vulnerabilities of the Controller Area Network (CAN) are exposed, allowing attackers to remotely invade vehicle networks through external devices. The popularity of Internet of Vehicles (IoV) has made people's driving environment more comfortable and convenient.