The effect of algorithm-agile encryption on ATM quality of service

Sholander, Peter E.; Tarman, Thomas D.; Pierson, Lyndon G.; Hutchinson, R.L.

doi:10.1109/glocom.1997.632591

Cited by 3 publications

(4 citation statements)

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“…As these differently delayed streams are queued and re-combined into a single cell stream, this may also introduce additional Cell Delay Variation among cells of the same virtual circuit that use the same encryption algorithm. Again, reference [17] addresses this topic in detail. That research indicates that, until the encryptors participate in the QoS negotiation, algorithm-agile encryptors may need to append output buffering to low latency algorithms.…”

Section: Quality Of Servicementioning

confidence: 99%

“…In this case, cells from the encryption modules are queued in a FIFO which is served by the SONET framer. Although this is simple to implement, it is shown in [17] that variation in encryption delays can induce jitter in the cell streams when using the FCFS queuing discipline. However, because artificial delays are not added to the encryptor, the mean cell encryption delay is minimized.…”

Section: First Come First Served (Fcfs) Queuingmentioning

confidence: 99%

“…The CDV is particularly important for voice and video traffic, while the CTD is important to data throughput. Section 3 discusses these QoS issues further, while reference [17] provides a full treatment.…”

Section: Algorithm-agile Encryptionmentioning

confidence: 99%

“…This is especially true for data communications, which is bursty in nature, and can cause significant problems for constant bit rate (CBR) traffic. Refer to [17] and [20] for an additional discussion of the implications of a priority servicing implementation.…”

Section: Priority Servicingmentioning

confidence: 99%

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Context-agile encryption for high speed communication networks

Pierson

Witzke

Bean

et al. 1999

SIGCOMM Comput. Commun. Rev.

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IntroductionDifferent applications have different security requirements for data privacy, data integrity, and authentication. Encryption is one technique that addresses these requirements. Encryption can protect proprietary information as it passes from one end of a complex computer network to the other, even through untrusted intermediate systems, such as on the Internet. Encryption technology has many other uses including encrypting disk files and producing digital signatures.These various applications often have different needs. For example, certain applications may be able to tolerate long times to encrypt/decrypt information, but may also need to protect that information for a long period of time. Other applications, dealing with data that is sensitive while useful, but quickly becomes stale, might benefit from short encryption/decryption times that may accompany a less cryptographically robust algorithm. Digital signature systems typically demand rapid generation or verification of signatures. Depending on how frequently a signature must be verified, the system may need to be optimized for rapid signature generation or rapid signature verification. Efficient high speed communication systems, being of a real-time nature, often require encryption systems that optimize throughput while minimizing network traffic delay. Additional requirements may include minimizing error magnification, deterring message playback attacks, interoperability between faster and slower encryptors/decryptors, and quick recovery from cryptographic synchronization loss. This paper discusses context-agile hardware for end-to-end encryption systems designed for use in high speed communications networks, such as those employing Asynchronous Transfer Mode (ATM) technology. Section 2 compares ATM switch designs with ATM encryptor designs and defines three types of agile encryption to meet the varying needs regarding keys, cryptographic robustness, algorithms, and other characteristics. The application area and advantages are outlined for each type of agility. Section 3 discusses implementation issues, such as high-speed context-switching and the potential effects on ATM Quality of Service (QoS). Section 4 briefly covers management

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Section: Quality Of Servicementioning

confidence: 99%

Section: First Come First Served (Fcfs) Queuingmentioning

confidence: 99%

Section: Algorithm-agile Encryptionmentioning

confidence: 99%

Section: Priority Servicingmentioning

confidence: 99%

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