Abstract
Denial of Service (DoS) attacks are an increasing threat for Multiprocessor System-on-Chip (MPSoC) architectures. By exploiting the shared resources on the chip, an attacker is able to prevent completion or degrade the performance of a task. This is extremely dangerous for MPSoCs used in critical applications. The Network-on-Chip (NoC), as a central MPSoC infrastructure, is exposed to this attack. In order to maintain communication availability, NoCs should be enhanced with an effective and precise attack detection mechanism that allows the triggering of effective attack mitigation mechanisms. Previous research works demonstrate DoS attacks on NoCs and propose detection methods being implemented in NoC routers. These countermeasures typically led to a significantly increased router complexity and to a high degradation of the MPSoC’s performance. To this end, we present two contributions. First, we provide an analysis of information that helps to narrow down the location of the attacker in the MPSoC, achieving up to a 69% search space reduction for locating the attacker. Second, we propose a low cost mechanism for detecting the location and direction of the interference, by enhancing the communication packet structure and placing communication degradation monitors in the NoC routers. Our experiments show that our NoC router architecture detects single-source DoS attacks and determines, with high precision, the location and direction of the collision, while incurring a low area and power overhead.
Highlights
The extensive use of Internet-of-Things (IoT) will be the driver of the ongoing digitization in many application domains, as in smart living and working environments, smart cities, health care industry automation, automotive, and avionics
In order to evaluate the performance of the proposed Distributed Denial of Service (DoS) Detection systems presented in Section 6 (i.e., Collision Point Router Detection (CPRD) and Collision Point Direction Detection (CPDD)), they have been implemented on the RTL level and integrated to the Bonfire framework [19]
Traffic generators included in the Bonfire platform were leveraged for simulating normal traffic and DoS attacks on 4 × 4 mesh NoC-based Multiprocessor System-on-Chip (MPSoC) scenarios
Summary
The extensive use of Internet-of-Things (IoT) will be the driver of the ongoing digitization in many application domains, as in smart living and working environments, smart cities, health care industry automation, automotive, and avionics. IoT is a pervasive technology that increasingly captures the attention of researchers, industry, and governments. Computational tasks are mapped on a larger number of distributed IoT nodes, having increased connectivity through device-to-device communication. (i) Number of connected devices: it is estimated that by 2021, 28 billion devices will be part of IoT [1];. Complex and powerful Systems-on-Chips (SoCs), connected via wireless communication technologies as WLAN, WPAN, Bluetooth, or 5G networks, form the basis of the IoT. Multi-Processors System-on-Chips (MPSoCs) are considered as an increasingly important key enabler technology for the implementation of IoT nodes. They are composed of two main structural types of components:
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