Reliable Architecture-Oblivious Error Detection Schemes for Secure Cryptographic GCM Structures

Kermani, Mehran Mozaffari; Azarderakhsh, Reza

doi:10.1109/tr.2018.2882484

Cited by 24 publications

(9 citation statements)

References 17 publications

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“…Figure 13 has illustrated the processing performance of 4-parallel AES-GCM hardware accelerator, which is compared to the other similar security mechanisms as @100 MHz frequency. We note that the eight-parallel high-performance AES-GCM architecture proposed in Reference [ 33 ] has the highest efficiency in both encryption and decryption computations with the highest hardware complexity. Conversely, the single pipelined AES-GCM architecture takes the most time cycles to complete the computation on the authenticated encryption [ 34 ], even more than the competitive AES combined with the light-weight Hash (LHash) algorithm proposed in the Reference [ 35 ].…”

Section: Experiments and Resultsmentioning

confidence: 99%

High-Efficiency Parallel Cryptographic Accelerator for Real-Time Guaranteeing Dynamic Data Security in Embedded Systems

et al. 2021

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Dynamic data security in embedded systems is raising more and more concerns in numerous safety-critical applications. In particular, the data exchanges in embedded Systems-on-Chip (SoCs) using main memory are exposing many security vulnerabilities to external attacks, which will cause confidential information leakages and program execution failures for SoCs at key points. Therefore, this paper presents a security SoC architecture with integrating a four-parallel Advanced Encryption Standard-Galois/Counter Mode (AES-GCM) cryptographic accelerator for achieving high-efficiency data processing to guarantee data exchange security between the SoC and main memory against bus monitoring, off-line analysis, and data tampering attacks. The architecture design has been implemented and verified on a Xilinx Virtex-5 Field Programmable Gate Array (FPGA) platform. Based on evaluation of the cryptographic accelerator in terms of performance overhead, security capability, processing efficiency, and resource consumption, experimental results show that the parallel cryptographic accelerator does not incur significant performance overhead on providing confidentiality and integrity protections for exchanged data; its average performance overhead reduces to as low as 2.65% on typical 8-KB I/D-Caches, and its data processing efficiency is around 3 times that of the pipelined AES-GCM construction. The reinforced SoC under the data tampering attacks and benchmark tests confirms the effectiveness against external physical attacks and satisfies a good trade-off between high-efficiency and hardware overhead.

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Section: Experiments and Resultsmentioning

confidence: 99%

High-Efficiency Parallel Cryptographic Accelerator for Real-Time Guaranteeing Dynamic Data Security in Embedded Systems

et al. 2021

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“…Finally, in Kermani and Azarderakhsh ( 2018 ), reliable error detection schemes for secure Galois Countermeasures Mode (GCM) cryptographic structures without dependency on architecture. By providing robust error detection mechanisms, perimeter security, and communications integrity in critical areas are improved.…”

Section: Methodsmentioning

confidence: 99%

Authentication, access, and monitoring system for critical areas with the use of artificial intelligence integrated into perimeter security in a data center

Villegas-Ch,

García-Ortiz

2023

Front. Big Data

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Perimeter security in data centers helps protect systems and the data they store by preventing unauthorized access and protecting critical resources from potential threats. According to the report of the information security company SonicWall, in 2021, there was a 66% increase in the number of ransomware attacks. In addition, the message from the same company indicates that the total number of cyber threats detected in 2021 increased by 24% compared to 2019. Among these attacks, the infrastructure of data centers was compromised; for this reason, organizations include elements Physical such as security cameras, movement detection systems, authentication systems, etc., as an additional measure that contributes to perimeter security. This work proposes using artificial intelligence in the perimeter security of data centers. It allows the automation and optimization of security processes, which translates into greater efficiency and reliability in the operations that prevent intrusions through authentication, permit verification, and monitoring critical areas. It is crucial to ensure that AI-based perimeter security systems are designed to protect and respect user privacy. In addition, it is essential to regularly monitor the effectiveness and integrity of these systems to ensure that they function correctly and meet security standards.

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“…Broadcast routing is a straightforward method of flooding messages with other vehicles in groups. This procedure ensures that the message is delivered to all vehicles (Sarker et al, 2020;Kermani and Azarderakhsh, 2018). Flooding ensures packet delivery by ensuring that every node in the network receives the packet.…”

Section: B Broadcast-based Routingmentioning

confidence: 99%

Efficient Detection and Mitigation of Rushing Attacks in VANETs Using RAID: A Novel Intrusion Detection System

Kapu,

Karri

2023

Journal of Computer Science

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The vehicle manufacturing hub has evolved over the last decade with the emergence of self-driving vehicles and human-driven vehicles that use the concept of Artificial Intelligence (AI). Vehicular Ad Hoc Network (VANET) is a subset of Mobile Ad Hoc Network (MANET) that allows vehicles to communicate with one another and the Road Side Unit (RSU). VANET has been a game changer with features such as accident prevention, real-time traffic, route predictions, discovering an alternate route, alert notifications, safety, and security. VANET systems are distinguished by their ability to transmit critical safety information in real-time, even when the network's topology is constantly changing. With the lifesaving features of VANET comes a disadvantage that can risk the drivers' security and privacy through various attacks on the network. Intruders can steal data, drop data packets and modify, insert, or delete data when it is transmitted between vehicles. To address the mentioned data communication issues as well as various attacks in the VANET network, the authors propose an Intrusion Detection System (IDS) Rushing Attack Intrusion Detection (RAID), a novel framework that performs the detection of rushing attacks in vehicular networks. According to the performance analysis, the proposed framework RAID meets a wide range of security requirements while requiring less communication and storage. The study's findings were found to be more efficient.

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Reliable Architecture-Oblivious Error Detection Schemes for Secure Cryptographic GCM Structures

Cited by 24 publications

References 17 publications

High-Efficiency Parallel Cryptographic Accelerator for Real-Time Guaranteeing Dynamic Data Security in Embedded Systems

High-Efficiency Parallel Cryptographic Accelerator for Real-Time Guaranteeing Dynamic Data Security in Embedded Systems

Authentication, access, and monitoring system for critical areas with the use of artificial intelligence integrated into perimeter security in a data center

Efficient Detection and Mitigation of Rushing Attacks in VANETs Using RAID: A Novel Intrusion Detection System

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