karangowda06 - MSc Digital Forensics & Information Security Stude

项目说明

👋 Hi, I'm Karan Gowda SY

🛡️ Security Analyst | 🔍 DFIR | 🔵 Blue Team | 📋 GRC-Aware
🎓 MSc Digital Forensics & Information Security (SGPA: 8.583)
📍 Bengaluru, Karnataka, India
📞 +91 9591611876
✉️

> ⚡ *I don’t chase alerts — I in them.*

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🚀 About Me

I’m an entry-le & Digital Forensics professional with hands-on experience in:

🔎 Security monitoring & alert triage
🖥️ Endpoint in (EDR)
📊 SIEM log correlation & analysis
💾 Disk & memory forensics
📑 NIST-aligned incident response
🛡️ Threat detection & assessment

💡 I focus on turning raw alerts into structured in and actionable insights.

🎯 Actively seeking: SOC Analyst | Blue Team | DFIR roles

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🏢 Experience

🛡️ Software De & Security Analyst Intern

Zefender Inno Pvt. Ltd. | Bengaluru
📅 Jan 2026 – Apr 2026

🚨 Security alert monitoring & in

🔍 Endpoint analysis using EDR telemetry

📝 Incident documentation & reporting

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🔐 Cybersecurity Intern

Infotact Solutions | Bengaluru
📅 Nov 2025 – Feb 2026

📊 SIEM monitoring (Splunk, Wazuh)

⚠️ Alert triage & log correlation

🌐 Firewall, IDS/IPS log analysis

📚 NIST-aligned IR documentation

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🧪 Forensic Science Intern

Kannur Police Station | Kerala
📅 May 2024 – Jun 2024

💽 Disk imaging & forensic acquisition

🔒 E preser & hashing

📜 Chain of custody documentation

📑 Forensic reporting

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🎓 Education

🎓 M.Sc. Digital Forensics & Information Security
Jain School of Sciences, Bengaluru
SGPA: 8.583 | 2024 – Present

🎓 B.Sc. Forensic Science
Jain School of Sciences, Bengaluru
CGPA: 7.265 | 2021 – 2024

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🛡️ SOC Skillset

📊 SIEM Monitoring (Splunk, QRadar, Sentinel, Wazuh)

🚨 Alert triage & false positi

🔎 Log correlation & event in

🖥️ Windows & Linux log analysis

🎯 IOC identification &

🛠️ EDR in (CrowdStrike, Defender)

📌 Incident classification & escalation

📝 Security documentation

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🔍 DFIR Capabilities

💾 Disk forensics (FTK, EnCase, Autopsy)

🧠 Memory forensics (, Redline)

📂 Windows event log & artifact analysis

🐧 Linux artifact & timeline in

🦠 Malware triage

🔐 E acquisition & hashing

📜 Chain of custody maintenance

🧩 Root cause analysis

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🧩 GRC & Compliance Awareness

📘 NIST Incident Response Lifecycle (SP 800-61)

📗 NIST 800-53 Controls

📙 ISO/IEC 27001

🏥 HIPAA

💳 PCI-DSS

🇮🇳 Digital Personal Data Protection Act

✔️ Audit-ready documentation
✔️ Risk & control awareness
✔️ Compliance-dri practices

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🛠️ Tools & Technologies

📊 SIEM & EDR

Splunk | Microsoft Sentinel | QRadar | Wazuh
CrowdStrike Falcon | Microsoft Defender | Sysmon | AlienVault

🔬 Digital Forensics

Autopsy | FTK | EnCase | | Redline
Sleuth Kit | Cellebrite | MOBILedit

🌐 Network & Security

Wireshark | Nessus | Nmap | Burp Suite | Metasploit

💻 Scripting

Python | Bash | PowerShell

🖥️ Platforms

Windows | Linux (Kali, Ubuntu, Arch) | macOS

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🧪 Projects

🔐 AES Encryption & Decryption Tool
Python-based secure file encryption utility

🧹 Metadata Eraser
Reduces data leakage by removing hidden metadata

🔎 USB Monitoring & Logging Tool
Tracks external device activity for endpoint security

⛓ Blockchain-Based E Integrity System (Ongoing)
Tamper-resistant forensic e preser

🖥️ SOC Home Lab
Wazuh + CrowdStrike simulated SOC en

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📜 Certifications

🏅 ISC2 – Certified in Cybersecurity
🏅 Cisco – Junior Cybersecurity Analyst Path
🏅 EC-Council – CHFI (Computer Hacking Forensic In)
🏅 Skill India – Security Analyst Certification
🏅 CRTOM – Red Team Leaders
🏅 De – Ad Cybersecurity Industry Professional
🏅 IBM – Cloud Computing
🏅 D-Wave – Quantum Computing

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🌍 Languages

English | Kannada | Hindi | Telugu | Tamil

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📫 Let’s Connect

💼 LinkedIn:

📂 GitHub:

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🔥 *Turning alerts into in. E into insight.*

项目信息

开发语言：未知

Star 数：1

技术要点

该项目属于防护思路方向的开源资源，代码结构清晰，适合安全研究人员学习参考。项目围绕MSc Digital Forensics & Information Security Student | Blue Team Focused on defensive security, incident response, SIEM analysis, and forensic investigation. Interested in understanding attacker behavior to improve detection and response. Labs, scripts, and security research live here.展开，提供了可运行的实现，对理解相关安全机制、工具原理与攻防技术具有较高的研究价值。

从技术实现角度看，此类项目的核心在于对底层原理的深入理解与工程化落地。开发者在研究过程中可以结合官方文档与社区讨论，梳理项目的初始化流程、核心模块职责与数据流转，逐步掌握其中的技术细节与设计思路。

使用与学习建议

1. 下载源码压缩包，解压到本地环境。

2. 根据项目类型准备对应的运行环境与依赖。

3. 按照 README 中的步骤完成配置与部署。

4. 在隔离的测试环境中运行验证，避免影响生产系统。

免责声明

本资源来源于开源社区，仅供安全研究、技术学习与合法授权范围内的攻防演练使用，请勿用于任何非法或侵害他人权益的用途。使用本项目产生的一切后果由使用者自行承担。