ASDE-1 @ Publicis Sapient; Ex-R&D Intern @ Zebpay; Ex-ML Intern @ the University of Cyprus; CS @ SSNCE; AWSx1; GCPx1;

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Sriram M  • Peerlist

Malware threat detection is one of the most challenging tasks in the field of Information Security and the shortage of qualified personnel makes it even harder for people to keep their information secure. Moreover, malware design has evolved continuously, making it even more difficult for people to protect themselves from malware attacks. Thus, it is the need of the hour to improve the existing malware threat detection systems with modern deep learning algorithms. This paper focuses on bringing together a comprehensive study of various deep learning solutions for the detection of malware from its PE file (Portable Executable File) byte streams.

AI for Malware Threat Detection

A simple graph-based approach to solve BTC transaction flagging. Uses the properties of nodes and edges when BTC transactions are represented as a graph. Uses PCA and XGBoost Classifier. Hosted on Streamlit.

Bitcoin Transaction Flagger

Nowadays, many types of digital devices generate data in the form of text, image and video. Hence, it is essential to have a data archival system that maintains and accesses the data. In this context, Content Based Image Retrieval (CBIR) is the problem of searching for images in a large database of images. The CBIR involves feature extraction and identification of similar images. Existing works have utilized supervised deep neural networks to learn the features and used exhaustive searching technique to identify the similar images. However, since real datasets of images are unlabelled and large in size, the usage of supervised deep neural networks and exhaustive searching technique will be a time-consuming process. Thus, this paper proposes an Improved CBIR system that first utilizes an unsupervised deep learning approach to extract the features. Further, it utilizes Locality Sensitive Hashing (LSH) to reduce search space and K Nearest Neighbor (KNN) algorithm on the reduced search space to find the required number of similar images.

ICBIR

<ul><li>Tech Stack: React.js, Express.js, Node.js and <a target="_blank" rel="noopener noreferrer nofollow" class="text-green-text rich-link break-all link-break" href="http://Socket.io">Socket.io</a>.</li><li>Deployed a real-time anonymous chat application that aims to create quick privacy-centred chatrooms. This application uses <a target="_blank" rel="noopener noreferrer nofollow" class="text-green-text rich-link break-all link-break" href="http://Socket.io">Socket.io</a>, and WebRTC for real-time P2P communication and data encryption.</li></ul>

The Quick Chat App

This project aims to develop a community-based learning repository for learning complex technologies. Software development is a never-ending learning cycle, one of the biggest challenges that Software Engineers face is to constantly update themselves with cutting edge technologies and to best use practices and principles to develop thier products. Here we focus on:<ol><li>Over-engineering</li><li>Best practices</li></ol>This project could very well have been a subreddit, r/overengineeing sure has got a ring to it. Having said that we decided to be true to our principles, so we overengineered it. How does this platform work? check out <a target="_blank" rel="noopener noreferrer nofollow" class="text-green-text rich-link break-all link-break" href="https://the-overengineering-project.vercel.app/en/contribute">here</a>. Regardless, coming back to the principle of overengineering, we go by a simple rule MAXIMIZE build like there is no tomorrow!<ul><li>Use the most complicated tech stack to build a todo-app! (nothing against todo apps, we love you)</li><li>Use everything you can/ have to build something small.</li><li>The more complicated it is, the better it is.</li><li>Prioritize on the design principles and tools not the business use cases! We know you can handle that when times comes!</li></ul>

The Overengineering Project

⭕ Dumb It DownThis application interacts with the OpenAI API's implementation of the ChatGPT model.The incognito tab you need, but not the incognito tab you deserve. Use openAIs ChatGPT to make your life easier. Stuck with a difficult concept that's too smart for you, chatGPT3 servers are always busy? use D.I.D.<h3 class="rich-heading">Features</h3><ol><li>Prompts searched will remain ambigious</li><li>Fast answers</li><li>Love for Kevin Malone 🧁</li><li>(🔒 Pro Feature) Customize your answer to suite your needs</li><li>(🔒 Pro Feature) Browse between multiple responses</li><li>(⏰ Comin soon) API to access prompts</li></ol>