Security is always a major concern in the field of communication. Advanced Encryption Standard (AES) and RivestShamir-Adleman (RSA) algorithms are the two popular encryption schemes that guarantee confidentiality and authenticity over an insecure communication channel. There has been trifling cryptanalytic progress against these two algorithms since their advent. This paper presents the fundamental mathematics behind the AES and RSA algorithm along with a brief description of some cryptographic primitives that are commonly used in the field of communication security. It also includes several computational issues as well as the analysis of AES and RSA security aspects against different kinds of attacks including the countermeasures against these attacks.
Many software reliability growth models (SRGMs) have been analy zed for measuring the growth of software reliability. Selection of optimal SRGMs for use in a particular case has been an area of interest for researchers in the field of software reliability. A ll existing methodologies use same weight for each comparison criterion. But in reality, it is the fact that all the parameters do not have the same prio rity in reliability measurement. Keep ing this point in mind, in this paper, a co mputational methodology based on weighted criteria is presented to the problem of performance analysis of various non-homogenous Poisson process (NHPP) models. It is relat ively simple and requires less calculation.A set of twelve comparison criteria has been formulated and each criterion has been assigned different weight to rank the software reliability growth models proposed during the past 30 years. Case study results show that the weighted criteria value method offers a very pro mising technique in software reliability growth models comparison. Index Terms-Srg ms, Soft ware Reliab ility, NHPP, Software Model Ranking Analysis and Ranking of Software Reliab ility Models Based on Weighted Criteria Value
The ChatGPT, a powerful conversational tool trained by OpenAI is considered to be a revolutionary model in the field of artificial intelligence and natural language processing. It has received a lot of attention because of its potential to automate a variety of tasks and possibly have an impact on sectors like translation, customer service, and content creation. It uses GPT-3 (Generative Pre-training Transformer 3) language model to process user queries. GPT-3 has been trained on a very large dataset, which includes a wide range of texts from the internet and other sources. This has given it a broad knowledge base and has allowed it to generate responses to a wide range of prompts that are coherent and human-like. GPT-3 is one of the largest and most powerful language models to date, and it has the ability to perform a wide range of natural language processing tasks. After its release, ChatGPT has become a trending tool for the public to experiment and explore what it is capable of. In this article, we want to clarify what ChatGPT is. How does it work? What makes it different from other chatbots or search engines like Google? What are the major challenges and future prospects for it?
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