Gulshan Kumar’s Post

Excited to share my latest publication in the International Journal of Scientific Research in Engineering and Management (IJSREM)! 🎉 📄 Title: Phishing Website Detection Using Machine Learning In this study, we developed a method to detect phishing websites using machine learning. By analyzing URL features like length, special characters, subdomains, and keywords, we built a model that accurately identifies phishing URLs. This research highlights the methodology and the model's performance in real-world scenarios. Grateful for the support and guidance from my mentor, Ms. Gayathri N, and collaborators, Siva Sakthii U S and Janani Dhandayutham. 📖 Read the full paper here: https://lnkd.in/g-XMciH2 ISSN: 2582-3930 Impact Factor: 8.448 Volume 8 - Issue 07 July, 2024 #Research #Engineering #AI #MachineLearning #CyberSecurity #IJSREM #Publication #ScientificResearch

Excited to share my latest publication in the International Journal of Scientific Research in Engineering and Management (IJSREM)! 🎉 📄 Title: Phishing Website Detection Using Machine Learning In this study, we developed a method to detect phishing websites using machine learning. By analyzing URL features like length, special characters, subdomains, and keywords, we built a model that accurately identifies phishing URLs. This research highlights the methodology and the model's performance in real-world scenarios. Grateful for the support and guidance from my mentor, Ms. Gayathri N, and collaborators, Pradeepa Murugesan and Janani Dhandayutham. 📖 Read the full paper here: https://lnkd.in/g-XMciH2 ISSN: 2582-3930 Impact Factor: 8.448 Volume 8 - Issue 07 July, 2024 #Research #Engineering #AI #MachineLearning #CyberSecurity #IJSREM #Publication #ScientificResearch

🌟 Exciting Announcement! 🌟 I’m thrilled to share that our graduation project, "STEGO" 👁🖋, has officially launched! This achievement is the result of countless hours of dedication, research, and teamwork. We set out to create something impactful in the cybersecurity space, and our journey is just beginning. We're committed to continuous improvement and innovation. About STEGO: Our project combines AI and cybersecurity to achieve two main objectives: 1. Data Hiding and Encryption:    - We developed a feature that allows users to hide data within an image, enhancing security by encrypting the data with RSA and securing it with a user-generated password. This makes it nearly impossible for anyone to retrieve the hidden data without authorization. 2. Data Extraction:    - Users can securely extract hidden data from the stego image using the password they set. 3. AI Integration:    - We leveraged AI to enhance the extraction process, using a classifier to verify if an image contains hidden data.   - Additionally, our AI-powered classifier detects malicious executable files based on specific features. 4. Malware Detection:    - Our system identifies malicious files by calculating their hashes and comparing it against a database of known malicious hashes. We also integrated an API from VirusTotal as a secondary detection stage. 🥇 Proud Moment: Our project won first place in the Benha University Alliance for graduation projects in cybersecurity, receiving a 75k fund from the Academy of Scientific Research and Benha University. 🥇 Special Thanks: Our launch event was sponsored by Benha University and the Academy of Scientific Research. We were honored to have key industry leaders like e-finance, Security Meter, and National Telecommunication Institute (NTI) in attendance. 👇 Check out our project demo video and photos from the demo day! 🤍 #Cybersecurity #Encryption #Steganography #Malware #AI #Innovation #GraduationProject #University #TechForGood

Navigating the Role of Large Language Models in Cybersecurity: Insights from Carnegie Mellon University and OpenAI Carnegie Mellon University’s Software Engineering Institute (SEI) and OpenAI have jointly released a white paper shedding light on the potential role of large language models (LLMs) in cybersecurity. Read More: https://lnkd.in/d-yi-Ct4 #Cybersecurity #AI #LLMs #OpenAI #CarnegieMellon #DefenseStrategies #Technology #Innovation

We are happy to announce about the tool we developed as a team, on the Capstone Project at Israel Technion University's Cybersecurity Program. I am delighted to share the advancements in our capstone project, which focuses on developing a tool that combines machine learning and malware analysis. Our specific aim is to target Portable Executable (PE) files. Our journey began with an exploration of analysis and we are now making significant progress in dynamic analysis. What We Have Accomplished Far; We conducted Exploratory Data Analysis (EDA) to gain a deep understanding of the characteristics of our dataset. We implemented knowledge based feature extraction methods to optimize our dataset for improved performance. We evaluated machine learning models, such as Decision Trees, Random Forests and Artificial Neural Networks to determine their effectiveness in classifying malicious PEs. We initiated analysis focused on API sequences and file activities which has provided us with a detailed understanding of PE behaviors. Team Recognition; This journey would not have been possible, without the efforts of our team. I would like to give recognition to ELSHAD GULIYEV as a leading team member, and the expert on the Information Technologies which has experience more than 20 years and also one of the greatest mentor I have ever known- Elza Gurbanova for their contributions and insights that have propelled our project forward. Additionally I express gratitude to our instructor- James Hickie for his guidance and supervision. A Significant Milestone; This project is not an accomplishment.This is our second achievement, in creating cybersecurity tools that incorporate machine learning this semester. The success we've had can be attributed to the collaboration, dedication and expertise of our team. As we keep pushing boundaries and finding solutions in the field of cybersecurity, I appreciate the value of working together and integrating machine learning into this domain. Stay tuned for updates, on our projects progress! Here is the link for main piled code for Machine Learning on Malware Analysis: https://lnkd.in/e7xmMsHZ Majid Rahmanov #MachineLearning #Cybersecurity #IsraelTechnionUniversity #MalwareAnalysis #CapstoneProject #Teamwork #Innovation

Today's highlight is Shoshana Sugerman! If the RCC had a lead researcher position, it would definitely be Shoshana. She is always working on two or three different high-impact #research projects at the same time. Whether it's #quantum machine learning, exploring the ethics of Generative #AI on human-facing #cybersecurity tasks, and now evaluating compiler-based mitigation techniques, she is always excited to be contributing to the expansion of the state-of-the-art in cybersecurity knowledge. #security #cybersec #infosec #informationsecurity #generativeai #ml #machinelearning #RPI Rensselaer Polytechnic Institute Rensselaer Polytechnic Institute Information Technology & Web Science

Cignal is proud to be participating in the National Science Foundation (NSF) I-Corps program. As part of this exciting initiative, we are required to conduct brief, no-sales interviews with AI and cybersecurity professionals to better understand their workflows, needs, and challenges (scheduling at: https://lnkd.in/e-YSp6wy). These conversations help support a key NSF program, and your valuable feedback will play a critical role in shaping important AI and cybersecurity research. We would like to speak with AI and cybersecurity developers, engineers, researchers, product managers, students, and others who work in or manage teams in this space. If you or someone you know would be willing to help by participating in a 15-minute interview, please schedule a time directly with us at: https://lnkd.in/e-YSp6wy. Thank you! #AI #artificialintelligence #ML #machinelearning #cyber #cybersecurity #developer #research #NSFICorps #student #engineer #productmanager #innovation #technology

We are thrilled to announce that our latest study, "Federated Learning Under Attack: Exposing Vulnerabilities through Data Poisoning Attacks in Computer Networks," is now accessible on Arxiv [https://lnkd.in/eZ4DF2MW] and is currently undergoing submission to a journal for publication. A collaborative effort with Imran Haider, Dr. Rahim Taheri, and Prof. Mauro Conti. This study investigated the impact of #datapoisoning attacks, specifically label flipping (LF) and feature poisoning (FP), in the context of Federated Learning (FL) within #computernetworks. FL allows #decentralized devices to jointly train a shared model without sharing raw data. #Adversarial samples were generated using the #CIC and #UNSW datasets, and the model accuracy was evaluated. The results show that LF attacks are detectable, whereas FP attacks are challenging to detect, demonstrating the severity of FP attacks in compromising model integrity within the FL. [If you have expertise in artificial intelligence for security and programming, I am keen to embark on new research collaborations. Do not hesitate to contact me via email at e.nowroozi@rave.ac.uk if our research resonates with you.] #FederatedLearning #DataPoisoning #ComputerNetworks #ResearchPublication #Collaboration #ArtificialIntelligence #Security #DataSecurity #ModelIntegrity #FLAttacks #LabelFlipping #FeaturePoisoning #AcademicResearch #AIforSecurity #Cybersecurity #InfoSec #MachineLearning #SecurityTech #ThreatDetection #SecurityAlgorithms #SecurityAutomation #SecurityAnalytics #AIinCybersecurity #SecurityResearch #SecuritySolutions #CyberDefense #SecurityInnovation #DataProtection #DigitalSecurity #AIandSecurity #SecureAI #SecurityFrameworks Ravensbourne University London

"Excited to share that I've just wrapped up an insightful workshop on Cybersecurity and Artificial Intelligence in Computer Science Engineering! 🚀💻 Delving into cutting-edge topics, this workshop equipped me with valuable insights into safeguarding digital assets and leveraging AI for enhanced security measures. Grateful for the opportunity to learn and grow in this ever-evolving field! #Cybersecurity #AI #ComputerScience #Engineering #LearningAndGrowing"

Got a few minutes and you're bored? I recently took the IBM SkillsBuild Tech Type Quiz and discovered my tech type: Experimental Detective! 🕵️♂️ As an Experimental Detective, I thrive on asking "why" and digging deep to find answers when none seem apparent. Observation and logic are my greatest assets, and I embrace unconventional methods to uncover groundbreaking clues. This aligns perfectly with my passion for exploratory roles in software engineering, artificial intelligence, cybersecurity, and machine learning. Curious to find out your own tech type? Take the quiz and unlock your unique strengths: (https://lnkd.in/gn8Hrasp) #TechType #ExperimentalDetective #IBM #SkillsBuild #MachineLearning #CyberSecurity #ArtificialIntelligence #SoftwareEngineering IBM Your Big Year®