The PPT presentation for the Spam Alert System developed by fresh spar technology for the government of india for the Kavach Hackthon that occured in Bangalore
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2. Design and develop a crowd-sourcing based solution that can analyse and verify the source
of any incoming call, SMS and Email based on the inputs from the end-users. The solution
should be able to classify, whether the source is genuine or spam. Also, the solution should be
able to generate a risk score for incoming calls, SMS and Emails, based on the crowd-sourced
input.
PROBLEM
STATEMENT
3. Call, SMS, and Email Spam: The prevalence of unsolicited and spam calls, SMS messages, and
emails is a major issue, causing inconvenience and potential risks for users.
Lack of Source Verification: Verifying the authenticity of incoming calls, SMS messages, and emails
poses a challenge, making it difficult to trust the sources and increasing the vulnerability to scams.
Time-consuming Analysis: Manual analysis and verification of each incoming communication
consume significant time and effort for users, impeding their productivity and efficiency.
Limited User Knowledge: Users often lack the necessary knowledge and resources to accurately
identify spam sources and stay updated on the evolving trends in spam attacks, leaving them
susceptible to potential threats.
Privacy and Data Security: Ensuring privacy and data security is a constant concern for users,
particularly in the face of persistent spam attacks and the limitations of current security software.
User Adoption and Engagement: Encouraging active participation from users in the crowd-sourcing
process can be a daunting task, requiring effective strategies to motivate and engage individuals in
contributing to the solution's success.
PROBLEMS
IDENTIFIED
4. • Developing an App-based solution to help consumers
spot spam in emails, product-related scams, and social
media.
• An app-based analysis for the easy and accurate
analysis of calls, messages, and notifications.
• By analyzing the spam messages and links our Machine
Learning Model will allot the risk scores and show the
predictions to the users.
• Spam Reports to keep users informed of the spam they
have been subjected to, we regularly offer spam
reports.
5. Check for Spam from Notification: Our solution introduces a novel feature that enables users to quickly check for spam
directly from their notifications. With a single tap, users can verify the authenticity of incoming calls, SMS messages,
and emails without navigating away from their current tasks, ensuring convenience and efficiency.
Gpay Scam, QR Scams: Our solution addresses the rising concern of GPay scams and QR code scams. By implementing
advanced fraud detection algorithms and real-time analysis, we protect users from falling victim to these fraudulent
schemes, safeguarding their financial information and personal data.
Product Scams: Our innovative solution includes a robust mechanism to combat product scams. Leveraging user-
generated reports and crowd-sourced data, we identify and alert users about counterfeit or deceptive products,
empowering them to make informed purchasing decisions and protect themselves from potential fraud.
6. Expert Sessions: Our platform offers exclusive expert sessions where users can gain insights from industry
professionals and cybersecurity experts. These interactive sessions provide valuable knowledge, tips, and best
practices to enhance users' awareness and empower them to stay safe from various online threats, including spam.
Notification-based Awareness: We revolutionize awareness campaigns by utilizing push notifications as an effective
tool for disseminating important information and educating users about the latest spam trends, potential risks, and
preventive measures. Our solution ensures that users stay informed and proactive in mitigating spam-related
challenges.
Chat Bot: Our intelligent chatbot serves as a reliable and efficient assistant for users. By utilizing natural language
processing and machine learning algorithms, the chatbot offers instant support, answers user queries, provides
guidance on identifying and dealing with spam, and offers personalized recommendations to enhance users' overall
security and spam management experience.
7. Reportin
g
• Easy and quick reports by opting predefined reasons provided as options.
• User Customization- Filtering sensitivity, Notification preferences, managing
Blocked and allowed contacts.
• Monitoring Social Media to identify specific keywords and gather reports.
Validation of crowd-sourced data:
• Reports are converted into embeddings, grouped, and stored in a vector database by Spam
Tracker.
• When user reports exceed a threshold, numbers are classified as spam and added to the
Blacklist Database.
• Employs Behavioral analysis, including call patterns and user reports to identify spam numbers.
• Users receive notifications upon receiving reports and have the option to provide details to
regain safe ore verified status.
• Continuous monitoring and feedback loops contribute to improving the accuracy of the system.
8. Mitigation:
• Blackmarks devices exceeding a report limit by employing Device Fingerprinting
Techniques.
• Runs Advanced Spam Detection Algorithms on incoming calls of keypad phones through
call forwarding feature to filter Spam calls.
• Maintains an up-to-date Reputation Database of Spam numbers, emails addresses and
Senders both online and locally on the device.
