Recent Trends in Programming languages
Volume 10, Issue 1 (2023)
Published
Table of contents
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Efficient Security Enhancement Analysis for Cross-site Scripting and Code Injection Attacks for Web Security
Abstract: SQL code injection and XSSs cross-site scripting are two new fields of computer security flaws introduced by web applications that have surpassed buffer overflows as the most common class of flaws in recent years in both new vulnerability reports and exploit reports. Both SQL injection and XSS are examples of a larger group of vulnerabilities that rely on input validation. Studying the cross-site scripting and SQL server injection vulnerabilities is …
Published in Recent Trends in Programming languages · Vol. 10, Issue 1, 2023 · pp. 1–6 Read article
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Transcoder: Translate C++ to Python
Abstract: In computer science, there are different programming languages but the logic to implement a particular code remains same in every language. Many people have code bases in outdated programming languages like COBOL and switching those bases to more modern ones like Java, C++, or Python requires a significant investment of time and resources. Transcoder can conserve a lot of resources in the situation. This is a pilot project that we …
Published in Recent Trends in Programming languages · Vol. 10, Issue 1, 2023 · pp. 13–18 Read article
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A Machine Learning Approach to Personalized Movie Recommendations Using Content-based Filtering, Web Scraping and NLP Based Sentiment Analysis
Abstract: This research work presents an improved approach for movie recommendation using content-based filtering and cosine similarity. The proposed system considers the movies' content information and genre during item similarity calculations to recommend a top 10 list of similar movies based on user preferences. Data for the movies, including title, genre, runtime, rating, and cast, is obtained from the TMDB website using an API key, while reviews are web-scraped from the …
Published in Recent Trends in Programming languages · Vol. 10, Issue 1, 2023 · pp. 19–29 Read article
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Adaptive Huffman Algorithm for Data Compression Using Text Clustering and Multiple Character Modification
Abstract: Adaptive Huffman algorithm is a popular data compression technique that creates a variable-length binary code for each symbol in a message. However, the original algorithm may not be efficient in compressing text data, particularly when dealing with long sequences of repeated characters. In this study, we propose a novel approach to enhance the compression ratio of the Adaptive Huffman algorithm by utilizing text clustering and multiple character modification. The proposed …
Published in Recent Trends in Programming languages · Vol. 10, Issue 1, 2023 · pp. 30–40 Read article
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A Study on the Intersection of Human and Artificial Intelligence through Augmented Analytics
Abstract: The amount of exertion put in analytics by humans is colossal. Analytics today predominantly consists of performing the same steps repeatedly manually. Augmenting practices leverage the idea of automating the steps which are repeatedly done by humans and coalesce it with decision making capabilities of mankind. This will furnish us with applications where machines will understand data and make automated business analytics with the help of machine learning and AI. …
Published in Recent Trends in Programming languages · Vol. 10, Issue 1, 2023 · pp. 7–12 Read article