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Nihar Mehta

Cybersecurity Professional · Security Analyst

Security analyst with expertise in threat detection, incident response and digital forensics, passionate about protecting digital assets and building robust cybersecurity solutions.

About

From alert to answer, fast.

Security analyst with a solid background in cybersecurity operations and network infrastructure. Skilled in automating threat detection, incident response and process improvements that strengthen security posture.

Experienced in analysing digital artifacts and monitoring network performance to identify vulnerabilities, and well prepared to move into threat intelligence, supporting proactive security measures and tailored intelligence outputs.

  • i

    Detect

    SIEM monitoring, network intrusion detection and machine-learning anomaly detection to spot threats early.

  • ii

    Respond

    SOAR playbooks and automated enrichment that turn alerts into containment in seconds, not hours.

  • iii

    Investigate

    Digital forensics and traffic analysis that explain what happened and how to stop it happening again.

Projects

Detection, response & defence

  • SecurityWeb Apps2026

    SafeLine WAF on a bare-metal hypervisor

    A web application firewall running as its own security VM on a KVM/QEMU hypervisor, inspecting every request before it reaches the web application.

    Personal project

    • KVM / QEMU
    • NGINX
    • ModSecurity v3
    • OWASP CRS
    • iptables
    • Ubuntu
    Read case study: SafeLine WAF on a bare-metal hypervisor

    Problem

    Web applications face SQL injection, XSS, command injection, path traversal and flood attacks, and need protection that sits in front of the app rather than inside it.

    Approach

    A dedicated WAF virtual machine on a Type-1 hypervisor with three protection layers: iptables and kernel hardening at the network layer, NGINX rate limiting at the application layer, and ModSecurity with the OWASP Core Rule Set inspecting payloads.

    Result

    Blocks SQL injection, XSS, remote code execution, local file inclusion, path traversal and DoS/DDoS traffic before it reaches the backend, with scripts for setup, testing and monitoring.

  • Security2026

    NetSentinel: IDS/IPS with machine learning

    A lightweight network intrusion detection and prevention system that combines signature rules with machine-learning anomaly detection.

    Personal project

    • Python
    • Scapy
    • scikit-learn
    • Isolation Forest
    • pandas
    • Matplotlib
    Read case study: NetSentinel: IDS/IPS with machine learning

    Problem

    Signature rules catch known attacks but miss new ones, while small teams still need real-time visibility into their network traffic.

    Approach

    Real-time packet capture with Scapy, a rule engine for port scans, SYN and ICMP floods, suspicious ports and DNS amplification, plus Isolation Forest anomaly detection that learns normal traffic. Runs in detection (IDS) or prevention (IPS) mode.

    Result

    Real-time alerts with severity levels and a dashboard showing alert timelines, traffic heatmaps and top attacker IPs.

  • SecuritySoftware2026

    Mini SOAR platform with n8n

    Automated threat detection and response: a security alert is enriched with threat intelligence, scored and, if dangerous, blocked automatically.

    Personal project

    • n8n
    • Docker
    • VirusTotal API
    • AbuseIPDB API
    • JavaScript
    • Webhooks
    Read case study: Mini SOAR platform with n8n

    Problem

    Investigating each security alert by hand takes 10–15 minutes, which does not scale when alerts arrive by the hundred.

    Approach

    An n8n workflow receives alerts by webhook, queries VirusTotal and AbuseIPDB in parallel, merges the results, calculates a risk score and routes high-risk IPs to the firewall for blocking while logging the rest.

    Result

    Alerts are triaged and high-risk IPs blocked automatically in about four seconds per alert, with every step logged.

  • SecuritySoftware2025

    SOAR playbooks with Shuffle

    Tailored incident-response playbooks that connect detection, threat intelligence and case management into one automated workflow.

    Freelance consulting work

    • Shuffle SOAR
    • Wazuh
    • MISP
    • TheHive
    Read case study: SOAR playbooks with Shuffle

    Problem

    Alerts from detection tools, threat intelligence and case management lived in separate tools, slowing down containment.

    Approach

    Designed SOAR playbooks in Shuffle that integrate Wazuh (detection), MISP (threat intelligence) and TheHive (case management).

    Result

    Faster, more consistent threat containment and remediation workflows.

  • Security2025

    Windows user & admin-group audit

    PowerShell tooling that snapshots local user accounts and privileged group membership and highlights every change.

    Personal project

    • PowerShell
    • Windows
    • JSON
    Read case study: Windows user & admin-group audit

    Problem

    Unexpected new accounts or additions to the Administrators group are a classic sign of compromise, but are easy to miss.

    Approach

    Scripts that save JSON snapshots of local users and groups, compare two snapshots, and a test harness that creates and removes a dummy admin user to prove detection works.

    Result

    A clear before/after report of added or removed users and Administrators-group changes.

  • Communication TechnologySecurity2025

    IoT traffic analysis: MQTT with Wireshark

    A case study capturing and analysing MQTT traffic between simulated IoT devices and a broker to expose unencrypted communication.

    Case study

    • Wireshark
    • MQTT
    • IoT
    • TLS
    Read case study: IoT traffic analysis: MQTT with Wireshark

    Problem

    Many IoT devices talk over unencrypted MQTT, exposing credentials and sensor data to interception, spoofing and replay attacks.

    Approach

    Set up an MQTT broker and simulated sensor, captured the publish/subscribe traffic in Wireshark and analysed payloads, headers and topics.

    Result

    Demonstrated plain-text message exposure and documented defences: MQTT over TLS, broker authentication, topic permission audits and traffic monitoring.

Experience

Experience & education

  1. Security Analyst Intern

    Jan 2025 – Jan 2026

    ZeronSec India Pvt. Ltd. · Vadodara, India

    • Monitored security alerts using SIEM tools and integrated Splunk to enhance threat detection.
  2. Freelance Cybersecurity Consultant

    Jan 2025 – May 2025

    Freelance · Gujarat, India

    • Designed tailored SOAR playbooks using Shuffle, integrating Wazuh, MISP and TheHive.
    • Enhanced threat containment and remediation workflows.
  3. Digital Forensics Intern

    Jun 2024 – Aug 2024

    IIMT · Uttar Pradesh, India

    • Analysed 50+ digital artifacts and improved forensic workflow efficiency by 15%.
  4. M.Sc. Cybersecurity & Forensics

    Sep 2023 – May 2025

    Parul University · Vadodara, India

  5. B.Sc. Computer Science

    Jul 2020 – Aug 2023

    University of Mumbai · Mumbai, India

Toolbox

What I work with

Cybersecurity

  • Network Protocols
  • Firewalls
  • Incident Response
  • Penetration Testing
  • SIEM / Splunk
  • Wazuh
  • MISP
  • TheHive
  • Digital Forensics
  • Wireshark

Cloud security

  • AWS Security
  • GCP Security
  • Azure Security
  • Kubernetes

Programming & automation

  • Python
  • SQL
  • HTML / CSS / JS
  • Bash
  • PowerShell
  • n8n
  • Shuffle SOAR

Certifications

  • EC-Council Certified Security AnalystEC-Council
  • Security Operation CenterIBM
  • Cybersecurity ArchitectureIBM
  • Ethical HackerCisco
  • Junior Cybersecurity AnalystCisco
  • CEH v13 (in progress)EC-Council