Anti-Cryptosporidium Cp23 monoclonal antibody (CABT-BL8752)

Mouse Anti-Cryptosporidium Cp23 monoclonal antibody for ELISA, IP, WB


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Application Notes
ELISA: 2 ug/ml IP: 2 ug/mg WB: 0.5-0.05 ug/ml
*Suggested working dilutions are given as a guide only. It is recommended that the user titrates the product for use in their own experiment using appropriate negative and positive controls.


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We offer labeled antibodies using our catalogue antibody products and a broad range of intensely fluorescent dyes and labels including HRP, biotin, ALP, Alexa Fluor® dyes, DyLight® Fluor dyes, R-phycoerythrin (R-PE), at scales from less than 100 μg up to 1 g of IgG antibody. Learn More

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Low-Complexity Nonlinear Self-Inverse Permutation for Creating Physically Clone-Resistant Identities


Authors: Mulhem, Saleh; Mars, Ayoub; Adi, Wael

New large classes of permutations over Z2n based on T-Functions as Self-Inverting Permutation Functions (SIPFs) are presented. The presented classes exhibit negligible or low complexity when implemented in emerging FPGA technologies. The target use of such functions is in creating the so called Secret Unknown Ciphers (SUC) to serve as resilient Clone-Resistant structures in smart non-volatile Field Programmable Gate Arrays (FPGA) devices. SUCs concepts were proposed a decade ago as digital consistent alternatives to the conventional analog inconsistent Physical Unclonable Functions PUFs. The proposed permutation classes are designed and optimized particularly to use non-consumed Mathblock cores in programmable System-on-Chip (SoC) FPGA devices. Hardware and software complexities for realizing such structures are optimized and evaluated for a sample expected target FPGA technology. The attained security levels of the resulting SUCs are evaluated and shown to be scalable and usable even for post-quantum crypto systems.

Using cognitive dimensions to evaluate the usability of security APIs: An empirical investigation


Authors: Wijayarathna, Chamila; Arachchilage, Nalin Asanka Gamagedara

Context Usability issues of security Application Programming Interfaces (APIs) are a main factor for mistakes programmers make that could result in introducing security vulnerabilities into applications they develop. This has become a common problem as there is no methodology to evaluate the usability of security APIs. A usability evaluation methodology for security APIs would allow API developers to identify usability issues of security APIs and fix them. A Cognitive Dimensions Framework (CDF) based usability evaluation methodology has been proposed in previous research to empirically evaluate the usability of security APIs. Objective: In this research, we evaluated the proposed CDF based methodology through four security APIs (Google Authentication API, Bouncy Castle light weight Crypto API, Java Secure Socket Extension API, OWASP Enterprise Security API). Method: We conducted four experiments where in each experiment we recruited programmers and they completed a programming task using one of the four security APIs. Participants' feedback on each cognitive dimension of the particular API was collected using the cognitive dimensions questionnaire. Usability issues of each API was identified based on this feedback. Results: Results of the four experiments revealed that over 83% of the usability issues in a security API could be identified by this methodology with a considerably good validity and reliability. Conclusion: The proposed CDF based usability evaluation methodology provides a good platform to conduct usability evaluation for security APIs.

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