Mitigation of Hardware Trojan Attacks on Networks-on-Chip

The Integrated Circuit (IC) design flow follows a global business model. A global business means that the processes in the IC design flow could be outsourced, and consequently security threats have been introduced. Security threats on hardware include side channel analysis, reverse engineering, information leakage, counterfeit chips, and hardware Trojans (HTs).This work mainly focuses on HT attacks, which execute a malicious operation on the system when a trigger condition is met. Networks-on-Chip (NoCs) are a popular communications infrastructure for many-core systems, which have proved to be a more scalable option over the traditional bus interface. However, the high scalability and modularity provided by NoCs have introduced new vulnerabilities in the design, leading to hardware Trojans capable of causing several Denial of Service (DoS) attacks on the network. A 4x4 Mesh-topology NoC with a more robust router microarchitecture is presented with several innovations relative to the baseline. A collaborative dynamic permutation and flow unit (flit) integrity check method is proposed to thwart an attacker from maliciously modifying the flit content in the routers of a NoC. Our method complements other HT detection approaches for the NoC network interfaces. Moreover, we exploit the Physical Unclonable Function (PUF) structure and the traffic routing history to generate a unique key vector for each router to select one of the multiple permutation configurations. Simulation and Field Programmable Gate Array (FPGA) results are compared between the proposed NoC microarchitecture and four other existing solutions found in literature, and it was shown that the proposed method outperforms all of the existing security methods

HARDWARE ATTACK DETECTION AND PREVENTION FOR CHIP SECURITY

Hardware security is a serious emerging concern in chip designs and applications. Due to the globalization of the semiconductor design and fabrication process, integrated circuits (ICs, a.k.a. chips) are becoming increasingly vulnerable to passive and active hardware attacks. Passive attacks on chips result in secret information leaking while active attacks cause IC malfunction and catastrophic system failures. This thesis focuses on detection and prevention methods against active attacks, in particular, hardware Trojan (HT). Existing HT detection methods have limited capability to detect small-scale HTs and are further challenged by the increased process variation. We propose to use differential Cascade Voltage Switch Logic (DCVSL) method to detect small HTs and achieve a success rate of 66% to 98%. This work also presents different fault tolerant methods to handle the active attacks on symmetric-key cipher SIMON, which is a recent lightweight cipher. Simulation results show that our Even Parity Code SIMON consumes less area and power than double modular redundancy SIMON and Reversed-SIMON, but yields a higher fault -detection-failure rate as the number of concurrent faults increases. In addition, the emerging technology, memristor, is explored to protect SIMON from passive attacks. Simulation results indicate that the memristor-based SIMON has a unique power characteristic that adds new challenges on secrete key extraction

SECURING FPGA SYSTEMS WITH MOVING TARGET DEFENSE MECHANISMS

Field Programmable Gate Arrays (FPGAs) enter a rapid growth era due to their attractive flexibility and CMOS-compatible fabrication process. However, the increasing popularity and usage of FPGAs bring in some security concerns, such as intellectual property privacy, malicious stealthy design modification, and leak of confidential information. To address the security threats on FPGA systems, majority of existing efforts focus on counteracting the reverse engineering attacks on the downloaded FPGA configuration file or the retrieval of authentication code or crypto key stored on the FPGA memory. In this thesis, we extensively investigate new potential attacks originated from the untrusted computer-aided design (CAD) suite for FPGAs. We further propose a series of countermeasures to thwart those attacks. For the scenario of using FPGAs to replace obsolete aging components in legacy systems, we propose a Runtime Pin Grounding (RPG) scheme to ground the unused pins and check the pin status at every clock cycle, and exploit the principle of moving target defense (MTD) to develop a hardware MTD (HMTD) method against hardware Trojan attacks. Our method reduces the hardware Trojan bypass rate by up to 61% over existing solutions at the cost of 0.1% more FPGA utilization. For general FPGA applications, we extend HMTD to a FPGA-oriented MTD (FOMTD) method, which aims for thwarting FPGA tools induced design tampering. Our FOMTD is composed of three defense lines on user constraints file, random design replica selection, and runtime submodule assembling. Theoretical analyses and FPGA emulation results show that proposed FOMTD is capable to tackle three levels’ attacks from malicious FPGA design software suite

A Riskless Prudent Data Transfer in Clouds

No Abstrac

Information Leakage Attacks and Countermeasures

The scientific community has been consistently working on the pervasive problem of information leakage, uncovering numerous attack vectors, and proposing various countermeasures. Despite these efforts, leakage incidents remain prevalent, as the complexity of systems and protocols increases, and sophisticated modeling methods become more accessible to adversaries. This work studies how information leakages manifest in and impact interconnected systems and their users. We first focus on online communications and investigate leakages in the Transport Layer Security protocol (TLS). Using modern machine learning models, we show that an eavesdropping adversary can efficiently exploit meta-information (e.g., packet size) not protected by the TLS’ encryption to launch fingerprinting attacks at an unprecedented scale even under non-optimal conditions. We then turn our attention to ultrasonic communications, and discuss their security shortcomings and how adversaries could exploit them to compromise anonymity network users (even though they aim to offer a greater level of privacy compared to TLS). Following up on these, we delve into physical layer leakages that concern a wide array of (networked) systems such as servers, embedded nodes, Tor relays, and hardware cryptocurrency wallets. We revisit location-based side-channel attacks and develop an exploitation neural network. Our model demonstrates the capabilities of a modern adversary but also presents an inexpensive tool to be used by auditors for detecting such leakages early on during the development cycle. Subsequently, we investigate techniques that further minimize the impact of leakages found in production components. Our proposed system design distributes both the custody of secrets and the cryptographic operation execution across several components, thus making the exploitation of leaks difficult

Design, Fabrication, and Run-time Strategies for Hardware-Assisted Security

Today, electronic computing devices are critically involved in our daily lives, basic infrastructure, and national defense systems. With the growing number of threats against them, hardware-based security features offer the best chance for building secure and trustworthy cyber systems. In this dissertation, we investigate ways of making hardware-based security into a reality with primary focus on two areas: Hardware Trojan Detection and Physically Unclonable Functions (PUFs). Hardware Trojans are malicious modifications made to original IC designs or layouts that can jeopardize the integrity of hardware and software platforms. Since most modern systems critically depend on ICs, detection of hardware Trojans has garnered significant interest in academia, industry, as well as governmental agencies. The majority of existing detection schemes focus on test-time because of the limited hardware resources available at run-time. In this dissertation, we explore innovative run-time solutions that utilize on-chip thermal sensor measurements and fundamental estimation/detection theory to expose changes in IC power/thermal profile caused by Trojan activation. The proposed solutions are low overhead and also generalizable to many other sensing modalities and problem instances. Simulation results using state-of-the-art tools on publicly available Trojan benchmarks verify that our approaches can detect Trojans quickly and with few false positives. Physically Unclonable Functions (PUFs) are circuits that rely on IC fabrication variations to generate unique signatures for various security applications such as IC authentication, anti-counterfeiting, cryptographic key generation, and tamper resistance. While the existence of variations has been well exploited in PUF design, knowledge of exactly how variations come into existence has largely been ignored. Yet, for several decades the Design-for-Manufacturability (DFM) community has actually investigated the fundamental sources of these variations. Furthermore, since manufacturing variations are often harmful to IC yield, the existing DFM tools have been geared towards suppressing them (counter-intuitive for PUFs). In this dissertation, we make several improvements over current state-of-the-art work in PUFs. First, our approaches exploit existing DFM models to improve PUFs at physical layout and mask generation levels. Second, our proposed algorithms reverse the role of standard DFM tools and extend them towards improving PUF quality without harming non-PUF portions of the IC. Finally, since our approaches occur after design and before fabrication, they are applicable to all types of PUFs and have little overhead in terms of area, power, etc. The innovative and unconventional techniques presented in this dissertation should act as important building blocks for future work in cyber security