Smart Portal To Protect Child Online

1. Smart Portal To Protect Child Online Who is Most at Risk to Online Predators Online Victimisation Techniques By Khalid Al-Mutawah Kalmutawah@uob.edu.bh University of Bahrain

2. Outline • Social Networks • Bahrain Review for Internet Safety • What is required • Smart approach • Discussion • Questions University of Bahrain

3. Social Networks • Web-based media to socialize (e.g. making friends, groups of interests, share experience, find someone to talk with) • It is a media where you can make followers • A place where you share your personal life with others • Build your profile online • E.g. Facebook, Twitter, Myspace, Friendster, Google +, …etc. University of Bahrain

4. What is wrong then? • Are the other side telling the truth? • Is there any law to protect your personal profile or information from misuse ? • Is it safe for you children? • Is there any organization to report suspicious behavior or abuse • Have we educate our children, or even ourselves of the impacts of social networks? University of Bahrain

5. Bahrain Review of Internet Safety • What do we know? • The usage of Internet is growing exponentially • Young people are eager to participate on social network • Children spend long time on Facebook without parental supervision • What do we need to know? • What are children doing on Facebook? • Are they safe? • Whom they are meeting and to what extent? • Is there a way to protect them? University of Bahrain

6. Bahrain Review of Internet Safety • What have we found? • There is no great understanding of what is personal information on social network • Many children set their profile to be accessible to public on social network • Many share personal information including photos with strangers • Many responded positively to the abuse acts on social networks, yet most of them do not share these unpleasant experiences University of Bahrain

7. Bahrain Review of Internet Safety • What have we learn? • Training and consultation are required • Specific legislation to protect children online • Engagement of schools, parents, NGOs, community groups on e-safety programme. • Tools and techniques to help prevent, protect, and assist children while surfing the internet University of Bahrain

8. What is required? • Assist families to protect their children online • With less intervention to child privacy • And more accuracy • Always (24/7) anywhere anytime • Develop a smart tool for social network that alerts parents of any grooming, bullying or suspicious behavior online University of Bahrain

9. Smart Approach University of Bahrain

10. Smart Approach • Data mining (knowledge discovery from data) • Extraction of interesting (non-trivial, implicit, previously unknown and potentially useful) patterns or knowledge from huge amount of data University of Bahrain

11. Smart Approach • Market analysis and management • Target marketing, customer relationship management (CRM), market basket analysis, market segmentation • Risk analysis and management • Forecasting, customer retention, quality control, competitive analysis • Fraud detection and detection of unusual patterns (outliers) • Text mining (news group, email, documents) and Web mining • DNA and bio-data analysis University of Bahrain

12. Interpretation/ Evaluation Data Mining Preprocessing Patterns Selection Preprocessed Data Data Target Data Smart Approach Knowledge adapted from: U. Fayyad, et al. (1995), “From Knowledge Discovery to Data Mining: An Overview,” Advances in Knowledge Discovery and Data Mining, U. Fayyad et al. (Eds.), AAAI/MIT Press University of Bahrain

13. Smart Approach Figure Clustering framework for Social Network University of Bahrain

14. Smart Approach: Network Spider • Network spider download the relevant pages from the social network website of predators. • After a member page is fetched, URLs are extracted and stored into a queue. However, only follow links that are of interest, e.g., links to a group’s members, other social networks, comment links, and so on. University of Bahrain

15. Smart Approach: Extractor • information Extractor component obtains data from user profiles, linkages, commenting, or subscription. • It then performs Patternmatching. For example, rule-based algorithms that rely on handcrafted rules can be used to extract useful information such as named entities. University of Bahrain

16. Smart: Community Analysis • Community analysis is to identify common patterns within members in a Social network to form community of interests. • In Community analysis a subset of nodes is considered a community if nodes have stronger or denser links with nodes within the community than with nodes outside of the community. University of Bahrain

17. Smart Approach: Visualization • The extracted network and analysis results can be visualized using various types of network layout methods. • Multidimensional scaling (MDS) is the most commonly used method for social network visualization. University of Bahrain

18. Discussion • Obtained results can help you identify predators’ behavior and characteristics • These characteristics then can be integrated into a web portal that installed at your Childs' computer • And set to alert you whenever a similar behavior is emerged • We are welcome any collaboration to this research University of Bahrain

19. Questions University of Bahrain