Advanced Program in Cybersecurity and Forensics ...

New Batch Starting Date

About Advanced Program in Cybersecurity and Forensics

Advanced Cybersecurity and Forensics Course equips you with essential skills to protect systems, networks, and programs from digital threats. Learn cutting-edge techniques for securing sensitive information, preventing data breaches, and ensuring business continuity. Key concepts include confidentiality, integrity, and availability. Core topics cover firewalls, antivirus software, encryption, multi-factor authentication (MFA), and security awareness training. Specialized areas include network security, information security, application security, operational security, and end-user education. This course prepares you for roles like cybersecurity analyst, ethical hacker, and digital forensics investigator, enhancing your job placement opportunities in the rapidly growing cybersecurity field

Program Objectives

The objective of this program is to acquaint participants with industry-specific problem-solving skills, focusing on various aspects of data analytics. These include proficiency in data analysis, reportThe objective of our Advanced Cybersecurity and Forensics Course is to train candidates with real-time, industry-specific hands-on experience. The program aims to equip participants with the skills and knowledge needed to excel in the cybersecurity field. By focusing on practical applications and current industry challenges, we prepare our candidates to become proficient cybersecurity specialists. Additionally, our course provides robust job placement support, helping participants secure positions in corporate environments as cybersecurity, visualization, programming, and advanced analytics techniques aimed at strategy formulation.

What you will learn in (APCF)?

Step-1 Cybersecurity – Bridge course

Topics Covered:

  • Operating system (Linux, Windows) basics
  • Various OS commands and tools for cybersecurity
  • Networking basics
  • Networking protocols
  • Creating and working with virtual machines (VMs)
  • Introduction to Python Programming

Topics Covered:

  • Introduction to Cybersecurity
    • What is Cybersecurity
    • Differences between Cyber Security and Information Security
    • Need for Cybersecurity
    • Common concepts in Cybersecurity
    • Physical and logical security
    • Defensive security vs offensive security
    • Malicious Actors and their goals
    • Cybersecurity Career Opportunities and Job Functions
    • Security layers and vulnerabilities
  • Types of Security
    • Logical security
    • Administrative security
    • Data security
    • Operation system security
    • Network security
    • Types of Security
    • Database security
    • Web security
    • Wireless security
    • Mobile Endpoint security
  • Reconnaissance
    • Passive Reconnaissance
    • Active Reconnaissance
  • Creating development environment for cybersecurity
  • Introduction to PowerShell Programming
  • Introduction to Forensic Analysis
  • Metadata extraction and parsing
  • Malware and Phishing Analysis
  • Working with wireless devices
  • Working with network utilities
  • Source code review and reverse engineering
  • System hardening, discovery, and implementation
  • Defensive security techniques
  • Offensive security techniques and Pen Testing

Topics Covered:

  • Introduction to Ethical hacking
  • Footprinting and Reconnaissance
  • Scanning Networks
  • Enumeration
  • Vulnerability Analysis
  • System Hacking
  • Malware Threats
  • Sniffing and packet analysis
  • Social engineering
  • DoS (Denial of Service) and DDoS (Distributed Denial of Service)
  • Session Hijacking
  • Evading IDS, Firewalls, and Honeypots
  • Hacking Web Servers
  • Hacking Web Applications
  • SQL Injections and Command Injections
  • Hacking Wireless Networks
  • Hacking Mobile Platforms
  • IoT Hacking
  • Cloud Computing and Cloud Security
  • Cryptography

Topics Covered:

Basic concepts
  • Definition of Cyber Forensics
  • Attack Vectors, Attack Surface, and Cyber Forensics
  • Main functions/phases of Cyber Forensics
  • Making your network ready for Cyber Forensics
  • Incident Detection
  • Incident Response (First Response)
  • Learnings from Incidents
  • Importance of Communication and Containment
  • Forensics Analysis
  • Why mobile devices provide a convenient attack vector to attackers
  • Mobile Security breach scenarios
  • Anatomy of an APK file
  • What is code obfuscation and how do malicious actors use it to hide malicious content in the file
  • NIST 800-61 – Computer Security Incident Handling Guide
  • Incident Handling Checklist
    • Detection and Analysis
    • Containment, Eradication and Recovery
    • Post-Incident Activity
  • ISO Standards – ISO 27000 Definitions
  • ISO Standards – ISO/IEC 27043, ISO/IEC 27037, ISO/IEC 27035
  • Evidence Acquisition
    • Network Acquisition
    • Remote Acquisition
    • Memory Acquisition
  • ISO Standards – ISO 27000 Definitions
  • ISO Standards – ISO/IEC 27043, ISO/IEC 27037, ISO/IEC 27035
  • Evidence Acquisition
    • Network Acquisition
    • Remote Acquisition
    • Memory Acquisition
  • Software based write blocking
  • Hardware write blocking
  • Linux
    • Understanding Linux file structure
    • Important logs in Linux
    • Enabling audit logs
    • Creating an audit trail of the system
    • Identifying deleted files
    • Recovering lost data
  • Windows
    • Understanding Windows file structure
    • Understanding the Windows Registry
    • Important logs in Windows
    • Understanding the Windows Event Viewer
    • Using PowerShell to read Windows Event logs and send to syslog
    • Identifying deleted files
    • Recovering lost data
  • Dumping and Dump Analysis
    • Capturing packets
    • Packet capture analysis
    • Dumping memory
    • Dumping processes
  • Importance of MACB (Modified, Accessed, Changed, Birth)
  • Timelining
    • Memory Analysis Timeline Creation
    • Filesystem Timeline Creation and Analysis
    • Windows Time Rules (File Copy versus File Move)
    • Filesystem Timeline Creation Using Sleuthkit and fls
    • Bodyfile Analysis and Filtering Using the mactime Tool
    • Super Timeline Creation and Analysis
  • Timeline Creation with log2timeline/Plaso
  • Filtering the Super Timeline Using psort
  • Super Timeline Analysis
  • Disk structures
  • File formats and extensions
  • File system metadata and file metadata
  • Windows Artifact Analysis
  • USB Connections
  • Shell Items (Shortcuts, File Opening/ Closing, Folder Access)
  • Prefetch and Recycle bin analysis
  • Web Browsers analysis
  • Cloud Storage File and Metadata Examinations
  • Reporting and Learnings


Cybersecurity is the practice of securing or protecting systems, networks, devices, applications, and sensitive data from cyberattacks from malicious actors. Such attacks are aimed to compromise the security and privacy by unauthorized access of sensitive information, by tampering with or destroying the system, or even by blocking access to the system and its contents. Cybersecurity mainly deals with digital data.

A few analogies we can think of about cybersecurity are:

  • Putting a lock on the main gate of your house while taking care of security inside your house in the forms of compartmentalization and layered security
  • Controlling who and what can enter your house, keeping out unwanted visitors
  • Keeping a guard on duty who assesses and stops threats before they can harm or damage your premises
  • Keeping your most confidential, sensitive, and important documents in fire-proof safe or in bank locker

Information Security (or InfoSec) is synonymous in most contexts. However, it focuses on protecting any type of data, not just digital data. Information Security also deals with compliance and policies to protect the data and not just the techniques.

Hence, cybersecurity can be thought of as a subset of Information Security. Information Security is the overarching area covering a wide array of security-related considerations, including Cybersecurity, Encryption, Disaster Recovery, and so on.

The attackers or malicious actors take advantage of the design flaws of the system or network, or else try to brute force their way into it. Such attacks aim to compromise security and privacy by unauthorized access to sensitive information, tampering with or destroying the system, or even blocking access to the system and its contents.

Cybersecurity deals with protecting digital data from such attackers. Cybersecurity professionals act like soldiers at our border trying to protect systems with critical, confidential and sensitive information.

Every organization today needs to protect themselves given the loss they can incur if they are attacked by such treat actors. This is where Cybersecurity professions provide the eyes, ear and nose for the 360-degree security.

  • Cybersecurity is needed every in-today’s world:
    Cybersecurity is used to protect critical, confidential and sensitive information and digital assets in area like Finance, Retail, Large Enterprises, Small and Medium Enterprises (SMEs), Smart Cities, Travel industry, and anything else we see around us
  • It is also used extensively behind the scenes to protect us from threat actors at the national level, thereby helping in national security
  • Defense forces use Cybersecurity to protect us from external attackers and protect their sensitive information of national interest

This course is for you, if you are:
  • A professional in another area who is exploring cybersecurity as a career option
  • A student who would like to get practical skill set in cybersecurity as part of your academics or as a career option
  • A fresh graduate who wants to get into the exciting field of Cybersecurity
  • A cybersecurity professional or researcher trying to enhance your knowledge
  • A faculty teaching cybersecurity or information security
  • Cybersecurity professionals possess an overall and complete view of things
  • They understand the deep working of the system and solution very well. They know OS internals, protocols, system architecture, the Internet, etc.
  • Senior cybersecurity professionals are domain experts and hence can advise on features and solutions even outside of their comfort zone
  • Cybersecurity professionals are very curious individuals who love solving complex problems and overcoming new challenges. They are also able to pick up new skills within days
  • The compensation for cybersecurity jobs is above average, and hence it results in a rewarding career

If you love system programming and OS internals, and have a very keen analytical ability, then Cybersecurity is the right choice for you

  • Our learning approach focuses on making the learners curious about the subject so that the learning is self-sustained. This is done by teaching all the concepts in a simple-to-understand way backed by hands-on assignments, quizzes, discussions, and real-world case studies.

    We also assess the competence of all the learners on a periodic basis and then work with them to ensure they are job ready.

    The learning approach focuses on getting mastery in important areas of Cybersecurity so that you can:

    • Know the threat actors
    • Know your digital assets
    • Protect your data
    • Prevent malware
    • Be compliant
  • If you want to become a lifelong learner, have a responsible position in reputed companies, become one of the most important gates for the safety and security of you product, and have a rewarding career, cybersecurity is for you. Please note, these points are related to each other and hence rather than achieving them one at a time, you work on all and level up in each of them as you practice.There is many jobs open in all the areas of Cybersecurity. Typically, a cybersecurity professional can work on one of areas when they are starting their career:


    • Penetration testing or Pen Testing, to bring out the weaknesses
    • Vulnerability and Threat Surface Assessment to find the attack surface
    • Security Posture Identification to understand the overall posture of the system
    • Passive Scanning and Reconnaissance to gather information
    • Compliance and Governance with international standards, e.g., GDPR, PCI-DSS, HIPPA
    • Intrusion Detection and Anomaly Detection by using Advanced Analytics and Machine Learning models
    • Digital Forensics for solving a cybercrime
    • System Hardening to make the system less vulnerable to attacks
    • SecOps or Security Operations to automate and standardize various operations
    • Security games to simulate offensive and defensive security – Blue Team, Red Team, Purple Team
    • Reverse Engineering to find insights which are visible by any other means
    • Working with SIEM (Security Information and Event Management) and APM (Application Performance Monitoring) for analysis at scale
    • Report, monitor and mitigate vulnerabilities using standard frameworks like SCAP (CVE, CVSS, etc.)
    • And many other things…

As part of this course, we will understand how Cybersecurity is used in the industry. Afterwards we will work on industry projects to provide you with the depth of knowledge and experience needed with work with such projects. You will need to use your knowledge of several areas of Cybersecurity to work on these projects.


  • Create your own Vulnerability Scanner
  • Create a tool for assessing Cyber Forensics readiness of a system
  • Identify Attack Surface of a system
  • Identify security misconfiguration in Windows and Linux systems
  • Collecting Cyber Forensic evidence as a First Responder in case of a security incident

    Talk to Expert

    "I hereby agree to the TnC & Privacy Policy of DV Data & Analytics." Privacy Policy and Terms & Conditions

    Unsure about how to begin?

    Allow our Learning Advisor to assist you.

    Training Supports & Benefits

    • Learn from the World’s Best Faculty & Industry Experts
    • Learn with fun Hands-on Exercises & Assignments
    • Participate in Hackathons & Group Activities
    • Dedicated Faculty
    • 9AM to 6 PM Support
    • Participate in Hackathons & Group Activities
    • Resume Building & Mock Interview Prep​aration.
    • We offer personalized access to our Learning Management System (LMS).
    • Moc Interview Practise + Real time Test

      Talk to Expert

      "I hereby agree to the TnC & Privacy Policy of DV Data & Analytics." Privacy Policy and Terms & Conditions

      Our Student Placed in...

      Best Training and Placement Institutes in Bangalore

      Students Reviews

      • Certainly! DV Analytics stands out as the best data science training institute with placement support. The comprehensive curriculum, expert trainers, and hands-on projects provide a robust learning experience. The institute's emphasis on real-world skills and industry connections ensures students are well-prepared for the job market. The dedicated support staff and effective placement assistance make it an ideal choice for aspiring data scientists. I am grateful for my experience there, and I am now confidently pursuing a career in data science, all thanks to DV Analytics.

        Sri Rangam Avatar Sri Rangam

        It's the Best institute with awesome and enthusiastic mentors.I was searching for the training institute for long time and got this. If you want to go for Data scientist/Data Analyst course must join DV.

        Priyanshi Avatar Priyanshi

        Best Institute to have a great training and learning experience of DATA SCIENCE. Thanks to all the support staffs and specially Dev Sir for grooming me to be in IT sector from a NON-IT background. Before joining DV I really have negative thoughts to join IT sector but now it seems to be easier for me due to the best guidance by Dev Sir.

        Tophanranjan Khuntia Avatar Tophanranjan Khuntia

        DV Analytics Training Institute boasts a friendly work culture that fosters collaboration. The training environment is conducive to effective learning, with supportive instructors and a management team that genuinely cares about your CAREER

        sahal roshan Avatar sahal roshan

        DV Analytics Training Institute boasts a friendly work culture that fosters collaboration. The training environment is conducive to effective learning, with supportive instructors and a management team that genuinely cares about your success. A fantastic place to grow your skills and build a solid foundation for a successful career.

        Prasantika Mohapatra Avatar Prasantika Mohapatra

        If someone wants to build his career in Data Science field than DV Analytics is the best place for this. Faculties are best in their respective subjects and specially Dev sir , he is teacher cum guide for us . 👍 Best place to learn.

        Rahul Ghorpade Avatar Rahul Ghorpade
      • Dv is the great place to learn Data Science. Dev Sir is very committed to every student's success. All classes are live, and all doubts are clarified. The live projects are the key point to achieve success. The class material and assignments is more than adequate for you to grasp all concepts. I would highly recommend for anyone interested in Data Science to join DV analytics

        Abhisek Debata Avatar Abhisek Debata

        One of the best and finest institute to learn Data Science . Mr.Dev sir teaches good subject with real time examples. They have amazing industry updated syllabus. They also provide internships with guarantee job assistance. I really recommend this institute to learn Data Science course.

        srinija 2000 Avatar srinija 2000

        It’s a great place to learn and make a carrier in data science. The atmosphere of this institute is very good I am glad that I took this all people those are looking to make a carrier in this field must join DV Analytics 👍🏻

        Payal Udhwani Avatar Payal Udhwani

        Dv analytics is a very good training institute with very good trainers and has helped my daughter secure a nice job in the corporate company.

        Sunitha Kumari B Avatar Sunitha Kumari B

        Highly recommended to all the people who believe sky is the limit and sees themselves succeeding as well as growing in life. On the basis of my personal experience, DV is one the best training institute. The way all the programs has been designed, be it mock interviews, classes or assignments, all these makes you ready for the competitive world out there. Also the faculty members are way too supportive and motives you at each and every step.

        kritika raina Avatar kritika raina

        Brings out the best in an employee. Provides multiple opportunities and avenues to excel. The management has been supportive of new ideas therein enabling a diverse learning curve. The overall culture of the organization is grounded and the fostering in a pleasant manner. The people in charge have set the standards high by practicing a hands on approach. Highly recommended for budding professionals to explore DV Analytics as a career option.

        Vivian Peter Avatar Vivian Peter
      • The great course structure. I am very much satisfied the way classes are delivered. Suggest to join others looking for Data Science courses.🙂

        Ashish Rauat Avatar Ashish Rauat

        Five stars for DV Analytics! The courses are well-structured, and the institute's commitment to empowering students in data science and AI is evident. Grateful for the knowledge and confidence gained here.

        Harsha Damaraju Avatar Harsha Damaraju

        D V Analytics is best training institute in India for learning DATA SCIENCE. Experienced Faculty (Dev Sir) and Helpful & communicative support staff is among the best team i have come through. I am from non-IT background, but still able to understand the content. Content is not only easy to understand, also is designed according to industry needs. Overall a Great Experience.

        Vibhash Pateria Avatar Vibhash Pateria

        DV Analytics is a best Data Science Institute. With a wide and extraordinary classes, they also helps us with business development strategies, projects across different industries.

        rajat chaudhary Avatar rajat chaudhary

        Great place to learn! Dev Sir is very committed to every student's success. They have started offering online classes since the pandemic began. All classes are live, and all doubts are clarified. The class material and assignments is more than adequate for you to grasp all concepts. I would highly recommend for anyone interested in Data Science.

        Shreejil PV Avatar Shreejil PV

        Dv analytics is an excellent training institute which has a very good job placement track record.

        Rᴇᴠᴀᴛʜʏ ᴘ s Avatar Rᴇᴠᴀᴛʜʏ ᴘ s
      • Best institute for Data Science. People from any educational background can join this institute in order to start career in data science or data analytics domain.Great place to learn! Dev Sir is very committed to every student's success

        Babu Hussain Avatar Babu Hussain

        DV is best choice if you are deciding to build Data Science as a professional career. The best thing about DV is the Mentor- Mentee Strategy adopted by them for hand holding of each student till they get Placement. Further, they conduct various Trainings/ Workshops by Industry Experts who helps students to understand the use of various Data Science Tools in real world.

        Duryadha Sethi Avatar Duryadha Sethi

        I am a DV Student and having a great experience of learning. I have built a good programming skill. Everything seemed impossible and I was not so confident about my programming skills before joining DV but now the things have changed....I am confident enough with my programming skills. A Special Thanks to Dev Sir our Teacher who worked so hard for each and every student to be successful

        Abdul Sahid Avatar Abdul Sahid

        I would like to thank DV Analytics support staff and faculties especially Dev sir. I joined DV recently and I was not confident because of my non IT background but after attending regular classes and doing assignments I feel very confident that I can be a data scientist. This is one of the best institute to learn data science for IT as well as non IT students.

        Soumyaranjan Sutar Avatar Soumyaranjan Sutar

        DV Analytics provided an excellent learning experience in Data Science facilitated by experienced and helpful tutors who made the whole learning journey enriching at every level.

        Satyajit Panda Avatar Satyajit Panda

        I am a student of DV Analytics. And I m not from IT background but because of the #faculties and #Dev sir I feel I can be a data scientist nd I will definitely achieve my goals. Thank you 😊 #DVAnalytics

        Supriya Mona Avatar Supriya Mona

      Advanced Program in Cybersecurity and Forensics

      100% Placement Assistance