Detecting word substitution in text
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The document describes a system for detecting word substitution in text to identify hidden meanings. It discusses the existing problem of suspicious emails not being detected. The proposed system uses algorithms like fuzzy string matching and cosine similarity to match words in emails to a database of suspicious words and detect if any words have been substituted. It was able to implement a system to block harmful emails but has limitations like only matching to words in the database and not considering context. Future work could make it more accurate by adding more words and features to the system.
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Detecting word substitution in text
- 1. Submitted by- Abhishek Bansal 9911103404(F5) Jaypee Institute of Information Technology, Noida
- 2. Introduction Current Open Problem Problem Statement Background Study Requirement Specification Algorithms Used Use Case Diagram Limitations Conclusion Future Work
- 3. Text substitution or textual obfuscation is the art of substituting one word in place of some another word. It helps in hiding the actual meaning of the text. Text substitution means replacing the words which attract attention like threat or danger by words which are normal and do not attract attention. Substitution replaces words that are, or may be, on the watch list by more innocuous words, making the message seem more “ordinary” and so likely to be not selected for further analysis.
- 4. In the existing system, the mails are sent to the authenticated users who are intended to be received. Some defects in existing system are- Suspicious mails cannot be detected. Offensive users cannot be identified.
- 5. To counter terrorism and to identify such acts and prevent them from happening I studied “Detecting word substitution in text” through which the actual hidden meaning of the message can be known.
- 6. List of all Sources Wikipedia IEEE Xplore Digital Library Acm digital library Springer Journals International Journal od Advanced Research in Computer Science and Software Engineering etc
- 7. Hardware requirements Processor : Pentium 2.4 GHz or above Memory : 256 MB RAM or above Cache Memory: 128 KB or above Hard Disk : 3 GB or above [at least 3mb of free space required] Software requirements Operating System : Windows 7 and above
- 8. Fuzzy String Matching Sentence Oddity Cosine Similarity
- 10. Data base of suspicious words needs to be updated regularly Words are matched only for the ones present in database. Words are not checked in what context they are written. A target word is selected in a sentence to check whether it has been substituted in text or not.
- 11. I was able to implement a system which blocks emails that contains words which are not safe and are harmful in nature by matching with the words already present in the database and detecting words which might have been replaced by some other words to make the sentence normal. This can be helpful in preventing activities which can affect the society in a bad way. By analyzing the emails which contain such words the information of the person can also be obtained and illegal acts can be prevented from happening.
- 12. This application is capable of producing the desired output. It currently uses words already selected for checking whether it has been substituted or not. And the current system could also be made more accurate by adding more words and updating the data base regularly. Also some other features like feature extraction can also be implemented which will further help to classify the emails. Using information science can further improve the accuracy of the results.
- 13. THANK YOU