Nex-G Innovations

Telecom Fraud Management Training & Certification

The objective of this 40-hour training program on telecom fraud management is to equip participants with the knowledge and skills to identify, prevent, detect, and respond to telecom fraud effectively.

The program covers the lifecycle of telecom fraud, including understanding fraud types, analyzing vulnerabilities, leveraging tools like Fraud Management Systems (FMS) and data analytics, and implementing prevention frameworks. Participants will gain hands-on experience in fraud detection, investigation, and response strategies, as well as insights into regulatory compliance, emerging fraud threats, and key performance metrics for effective management.

By the end of the training, attendees will be proficient in designing and executing comprehensive fraud management strategies tailored to the telecom domain.


Training Code: NES_SK_7339

Duration: 40 Hrs/ 4 Weeks / Customized

Mode: Corporate (Instructor Led - Online / Offline / Onsite), Individual (Instructor Led - Online / Offline)

+91-8826900551

Module 1 - Introduction to Telecom Fraud

  • What is Fraud?
  • What Is Telecommunications Fraud?
  • General overview of telecommunication fraud
  • Losses experienced by operators
  • Pressures to deal effectively with crime
  • The motivation behind crime
  • Analysis different types of telecom fraud
  • Telecom fraud detection and prevention
  • Telecom fraud Trends
  • Integration of fraud and Revenue Assurance
  • Telecommunications Fraud Solutions

Module 2 - Fraud Lifecycle and Risk Assessment

  • Stages of Telecom Fraud (Prevention, Detection, Investigation, Response)
  • Risk Identification and Assessment Techniques
  • Fraud Risk Indicators

Module 3 - The Evolution of Fraud

  • Traditional types of fraud
  • Common frauds
  • Operators risk exposure
  • Multiple new and immature services
  • Increased numbers of business transactions
  • Open, distributed networks
  • Entrance of new, non traditional’ players
  • Mergers and acquisitions
  • New methods of access
  • New billing systems and processes
  • Huge increase in amount of data generated by users
  • How do fraudsters benefit from fraud?
  • Using a service without paying.
  • Call Selling to others

Module 4 - Telecom Ecosystem and Fraud Vulnerabilities

  • Telecom Infrastructure and Key Vulnerabilities
  • Fraud Risks Across Services: Voice, SMS, Data, and Roaming
  • Practical Case Study: Anatomy of a Fraud Incident

Module 5 - Subscription Fraud

  • Why subscription fraud is the most prevalent type of telecoms fraud
  • How operators can recognize it
  • Techniques required to minimize the impact and loss
  • Vendor tools for eliminating subscription fraud

Module 6 - Internal Fraud

  • The scale and impact of internal fraud
  • Internal fraud motivation
  • Methods to highlight internal losses
  • Effective methods of mitigating risk
  • Conducting internal investigations

Module 7 - Partnership Fraud

  • Includes wholesale, partner and distributor fraud
  • How to effectively manage relationships with Operators
  • How to effectively manage relationships with Third party providers
  • How to effectively manage relationships with Commercial dealers
  • The threat of interconnect fraud

Module 8 - Fixed Network Fraud

  • The development of fixed networks
  • Common types of fraud affecting fixed line telcos
  • Subscription fraud
  • Physical attacks on the network
  • Premium rate fraud
  • PBX/DISA fraud
  • Threat of SS7/Diameter attacks
  • Threat to IP based services
  • Methods of mitigating the risk these practices present

Module 9 - Mobile Network Fraud

  • The security of mobile networks: 3G, 4G and 5G
  • SDN/NFV and IoT security and fraud
  • IMS/VoLTE attacks
  • Encryption methods employed by operators and handset/SIM card manufacturers
  • How network security needs to change with the move to 5G
  • Cloning, tumbling and other ways of compromising mobile networks and mobile devices
  • International Revenue Sharing Fraud (IRSF)
  • Interconnect Bypass Fraud
  • Traffic Pumping
  • The best ways to reduce the risk of mobile network fraud

Module 10 - Prepaid Fraud

  • How fraudsters take advantage of prepaid services
  • How operators can curtail these efforts
  • Regulating prepaid users
  • Developments from the vendor community
  • Risks associated with recharge methods

Module 11 - Roaming Fraud

  • The roaming market
  • The risks telcos are exposed to by roaming fraud
  • Typical methods used by criminals
  • Efforts of the GSM Association
  • New developments from the vendor community

Module 12 - Content and Value Added services Fraud

  • Content risks and liability
  • The culture of content theft
  • Managing the risk represented by players in the content value chain
  • Payment mechanisms
  • Watermarking, encryption and DRM
  • Maintaining revenue streams through secure delivery channels

Module 13 - Fraud Detection and Prevention

  • Overview of the fraud processes
  • All known fraud activities
  • Optimal use of internal systems and intelligence
  • External knowledge and experience

Module 14 - Data Mining and Machine Learning Applied to Fraud Detection and Prevention

  • Data Warehouse Data Modeling
  • Data mining techniques
  • Application of data mining to fraud
  • Application of CNN algorithms to 5G fraud

Module 15 - Data Analytics for Fraud Detection

  • Role of Big Data in Fraud Management
  • Using Call Detail Records (CDRs) for Pattern Recognition
  • Hands-On: Analyzing Fraud Patterns in CDR Data

Module 16 - Tools and Techniques

  • All known fraud activities
  • Optimal use of internal systems and intelligence
  • External knowledge and experience

Module 17 - Tools and Technologies for Fraud Detection

  • Overview of Fraud Management Systems (FMS)
  • Machine Learning in Fraud Detection
  • Demo: Using an FMS Tool for Real-Time Detection

Module 18 - Building a Fraud Prevention Framework

  • Key Components of a Prevention Framework
  • Policy Design for Fraud Mitigation
  • Importance of Customer Verification Processes (KYC)

Module 19 - Regulatory and Legal Aspects

  • Telecom Regulations Related to Fraud
  • Data Privacy and Compliance Requirements
  • Collaboration with Regulatory Bodies and Law Enforcement

Module 20 - Emerging Threats in Telecom Fraud

  • New Fraud Techniques (OTT Fraud, SIM Swap, VoIP Hacking)
  • Mitigating Fraud in Emerging Technologies (5G, IoT)

Module 21 - Case Study

  • 4G and 5G Fraud Detection Using Convolutional Neural Networks (CNN)
  • IPTV and OTT Fraud Detection

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