75 research outputs found
Reliable and High-Performance Hardware Architectures for the Advanced Encryption Standard/Galois Counter Mode
The high level of security and the fast hardware and software implementations of the Advanced Encryption Standard (AES) have made it the first choice for many critical applications. Since its acceptance as the adopted symmetric-key algorithm, the AES has been utilized in various security-constrained applications, many of which are power and resource constrained and require reliable and efficient hardware implementations.
In this thesis, first, we investigate the AES algorithm from the concurrent fault detection point of view. We note that in addition to the efficiency requirements of the AES, it must be reliable against transient and permanent internal faults or malicious faults aiming at revealing the secret key. This reliability analysis and proposing efficient and effective fault detection schemes are essential because fault attacks have become a serious concern in cryptographic applications. Therefore, we propose, design, and implement various novel concurrent fault detection schemes for different AES hardware architectures. These include different structure-dependent and independent approaches for detecting single and multiple stuck-at faults using single and multi-bit signatures.
The recently standardized authentication mode of the AES, i.e., Galois/Counter Mode (GCM), is also considered in this thesis. We propose efficient architectures for the AES-GCM algorithm. In this regard, we investigate the AES algorithm and we propose low-complexity and low-power hardware implementations for it, emphasizing on its nonlinear transformation, i.e., SubByes (S-boxes). We present new formulations for this transformation and through exhaustive hardware implementations, we show that the proposed architectures outperform their counterparts in terms of efficiency. Moreover, we present parallel, high-performance new schemes for the hardware implementations of the GCM to improve its throughput and reduce its latency.
The performance of the proposed efficient architectures for the AES-GCM and their fault detection approaches are benchmarked using application-specific integrated circuit (ASIC) and field-programmable gate array (FPGA) hardware platforms. Our comparison results show that the proposed hardware architectures outperform their existing counterparts in terms of efficiency and fault detection capability
Integrating emerging cryptographic engineering research and security education
Unlike traditional embedded systems such as secure smart cards, emerging secure deeply embedded systems, e.g., implantable and wearable medical devices, have larger “attack surface”. A security breach in such systems which are embedded deeply in human bodies or objects would be life-threatening, for which adopting traditional solutions might not be practical due to tight constraints of these often-battery-powered systems. Unfortunately, although emerging cryptographic engineering research mechanisms have started solving this critical problem, university education (at both graduate and undergraduate level) lags comparably. One of the pivotal reasons for such a lag is the multi-disciplinary nature of the emerging security bottlenecks (mathematics, engineering, science, and medicine, to name a few). Based on the aforementioned motivation, in this paper, we present an effective research and education integration strategy to overcome this issue at Rochester Institute of Technology. Moreover, we present the results of more than one year implementation of the presented strategy at graduate level through “side-channel analysis attacks” case studies. The results of the presented work show the success of the presented methodology while pinpointing the challenges encountered compared to traditional embedded system security research/teaching integration
Multidisciplinary Approaches and Challenges in Integrating Emerging Medical Devices Security Research and Education
Traditional embedded systems such as secure smart cards and nano-sensor networks have been utilized in various usage models. Nevertheless, emerging secure deeply-embedded systems, e.g., implantable and wearable medical devices, have comparably larger “attack surface”. Specifically, with respect to medical devices, a security breach can be life-threatening (for which adopting traditional solutions might not be practical due to tight constraints of these often-battery-powered systems), and unlike traditional embedded systems, it is not only a matter of financial loss. Unfortunately, although emerging cryptographic engineering research mechanisms for such deeply-embedded systems have started solving this critical, vital problem, university education (at both graduate and undergraduate level) lags comparably. One of the pivotal reasons for such a lag is the multi-disciplinary nature of the emerging security bottlenecks. Based on the aforementioned motivation, in this work, at Rochester Institute of Technology, we present an effective research and education integration strategy to overcome this issue in one of the most critical deeply-embedded systems, i.e., medical devices. Moreover, we present the results of two years of implementation of the presented strategy at graduate-level through fault analysis attacks, a variant of side-channel attacks. We note that the authors also supervise an undergraduate student and the outcome of the presented work has been assessed for that student as well; however, the emphasis is on graduate-level integration. The results of the presented work show the success of the presented methodology while pinpointing the challenges encountered compared to traditional embedded system security research/teaching integration of medical devices security. We would like to emphasize that our integration approaches are general and scalable to other critical infrastructures as well
Education and Research Integration of Emerging Multidisciplinary Medical Devices Security
Traditional embedded systems such as secure smart cards and nano-sensor networks have been utilized in various usage models. Nevertheless, emerging secure deeply-embedded systems, e.g., implantable and wearable medical devices, have comparably larger “attack surface”. Specifically, with respect to medical devices, a security breach can be life-threatening (for which adopting traditional solutions might not be practical due to tight constraints of these often-battery-powered systems), and unlike traditional embedded systems, it is not only a matter of financial loss. Unfortunately, although emerging cryptographic engineering research mechanisms for such deeply-embedded systems have started solving this critical, vital problem, university education (at both graduate and undergraduate level) lags comparably. One of the pivotal reasons for such a lag is the multi-disciplinary nature of the emerging security bottlenecks. Based on the aforementioned motivation, in this work, at Rochester Institute of Technology, we present an effective research and education integration strategy to overcome this issue in one of the most critical deeply-embedded systems, i.e., medical devices. Moreover, we present the results of two years of implementation of the presented strategy at graduate-level through fault analysis attacks, a variant of side-channel attacks. We note that the authors also supervise an undergraduate student and the outcome of the presented work has been assessed for that student as well; however, the emphasis is on graduate-level integration. The results of the presented work show the success of the presented methodology while pinpointing the challenges encountered compared to traditional embedded system security research/teaching integration of medical devices security. We would like to emphasize that our integration approaches are general and scalable to other critical infrastructures as well
Efficient and Fast Hardware Architectures for SIKE Round 2 on FPGA
New primes were proposed for Supersingular Isogeny Key Encapsulation (SIKE) in NIST standardization process of Round 2 after further cryptanalysis research showed that the security levels of the initial primes chosen were over-estimated. In this paper, we develop a highly optimized Montgomery multiplication algorithm and architecture that further utilizes the special form of SIKE prime compared to previous implementations available in the literature. We then implement SIKE for all Round 2 NIST security levels (SIKEp434 for NIST security level 1, SIKEp503 for NIST security level 2, SIKEp610 for NIST security level 3, and SIKEp751 for NIST security level 5) on Xilinx Virtex 7 using the proposed multiplier. Our best implementation (NIST security level 1) runs 29\% faster and occupies 30\% less hardware resources in comparison to the leading counterpart available in the literature and implementations for other security levels achieved similar improvement
A Comprehensive Survey on the Implementations, Attacks, and Countermeasures of the Current NIST Lightweight Cryptography Standard
This survey is the first work on the current standard for lightweight
cryptography, standardized in 2023. Lightweight cryptography plays a vital role
in securing resource-constrained embedded systems such as deeply-embedded
systems (implantable and wearable medical devices, smart fabrics, smart homes,
and the like), radio frequency identification (RFID) tags, sensor networks, and
privacy-constrained usage models. National Institute of Standards and
Technology (NIST) initiated a standardization process for lightweight
cryptography and after a relatively-long multi-year effort, eventually, in Feb.
2023, the competition ended with ASCON as the winner. This lightweight
cryptographic standard will be used in deeply-embedded architectures to provide
security through confidentiality and integrity/authentication (the dual of the
legacy AES-GCM block cipher which is the NIST standard for symmetric key
cryptography). ASCON's lightweight design utilizes a 320-bit permutation which
is bit-sliced into five 64-bit register words, providing 128-bit level
security. This work summarizes the different implementations of ASCON on
field-programmable gate array (FPGA) and ASIC hardware platforms on the basis
of area, power, throughput, energy, and efficiency overheads. The presented
work also reviews various differential and side-channel analysis attacks (SCAs)
performed across variants of ASCON cipher suite in terms of algebraic,
cube/cube-like, forgery, fault injection, and power analysis attacks as well as
the countermeasures for these attacks. We also provide our insights and visions
throughout this survey to provide new future directions in different domains.
This survey is the first one in its kind and a step forward towards
scrutinizing the advantages and future directions of the NIST lightweight
cryptography standard introduced in 2023
Algorithmic Security is Insufficient: A Comprehensive Survey on Implementation Attacks Haunting Post-Quantum Security
This survey is on forward-looking, emerging security concerns in post-quantum
era, i.e., the implementation attacks for 2022 winners of NIST post-quantum
cryptography (PQC) competition and thus the visions, insights, and discussions
can be used as a step forward towards scrutinizing the new standards for
applications ranging from Metaverse, Web 3.0 to deeply-embedded systems. The
rapid advances in quantum computing have brought immense opportunities for
scientific discovery and technological progress; however, it poses a major risk
to today's security since advanced quantum computers are believed to break all
traditional public-key cryptographic algorithms. This has led to active
research on PQC algorithms that are believed to be secure against classical and
powerful quantum computers. However, algorithmic security is unfortunately
insufficient, and many cryptographic algorithms are vulnerable to side-channel
attacks (SCA), where an attacker passively or actively gets side-channel data
to compromise the security properties that are assumed to be safe
theoretically. In this survey, we explore such imminent threats and their
countermeasures with respect to PQC. We provide the respective, latest
advancements in PQC research, as well as assessments and providing visions on
the different types of SCAs
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