| Title | Energy-Efficient Black Hole Router Detection in Network-on-Chip |
| Publication Type | Conference Paper |
| Year of Publication | 2022 |
| Authors | Daoud, Luka, Rafla, Nader |
| Conference Name | 2022 IEEE 35th International System-on-Chip Conference (SOCC) |
| Keywords | BHR, black hole, Energy efficiency, Energy-Efficient, hardware trojan, HT, Integrated circuit interconnections, Multiprocessor interconnection, network-on-chip, NoC, outsourcing, Predictive Metrics, pubcrawl, Resiliency, Router Systems Security, Runtime, Throughput |
| Abstract | The Network-on-Chip (NoC) is the communication heart in Multiprocessors System-on-Chip (MPSoC). It offers an efficient and scalable interconnection platform, which makes it a focal point of potential security threats. Due to outsourcing design, the NoC can be infected with a malicious circuit, known as Hardware Trojan (HT), to leak sensitive information or degrade the system's performance and function. An HT can form a security threat by consciously dropping packets from the NoC, structuring a Black Hole Router (BHR) attack. This paper presents an end-to-end secure interconnection network against the BHR attack. The proposed scheme is energy-efficient to detect the BHR in runtime with 1% and 2% average throughput and energy consumption overheads, respectively. |
| DOI | 10.1109/SOCC56010.2022.9908078 |
| Citation Key | daoud_energy-efficient_2022 |
Energy-Efficient Black Hole Router Detection in Network-on-Chip