Abstract
Ensuring the security of IoT devices and chips at runtime has become an urgent task as they have been widely used in human life. Embedded memories are vital components of SoC (System on Chip) in these devices. If they are attacked or incur faults at runtime, it will bring huge losses. In this paper, we propose a run-time detection architecture for memory security (RDAMS) to detect memory threats (fault and Hardware Trojans attack). The architecture consists of a Security Detection Core (SDC) that controls and enforces the detection procedure as a “security brain”, and a memory wrapper (MEM_wrapper) which interacts with memory to assist the detection. We also design a low latency response mechanism to solve the SoC performance degradation caused by run-time detection. A block-based multi-granularity detection approach is proposed to render the design flexible and reduce the cost in implementation using the FPGA’s dynamic partial reconfigurable (DPR) technology, which enables online detection mode reconfiguration according to the requirements. Experimental results show that RDAMS can correctly detect and identify 10 modeled memory faults and two types of Hardware Trojans (HTs) attacks without leading a great performance degradation to the system.
Highlights
The rapid development of IoT applications has led to the widespread use of IoT devices
Threats in the first round do not have security threats in the second round, according to the curity threats in the first round do not have security threats in the second round, according diagnosis process and detection range, we can determine that the hardware to the diagnosis process and detection range, we can determine that the hardware Trojan is HT1
The run-time detection architecture for memory security (RDAMS) can correctly detect and identify all the ten types of memory faults listed in Table 1 and two types of Hardware Trojans (HTs) triggered at runtime—HT1, HT2
Summary
The rapid development of IoT applications has led to the widespread use of IoT devices. As the important components of SoC, memories are more prone to fault than other circuit logic due to limitations in design structure, manufacturing technology and production time. They hold a large amount of user information and critical data, which increase the risk of them being targets for malicious attacks [3]. The security threats can be software-based attacks occurring at the application of IoT devices, but in recent years, increasing attention has been directed to the potential threat posed by hardware-based attacks [4,5,6]. Detecting security threats in memories has become an urgent task in hardware security
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
