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Privacy and Security in Online Social Media Course on NPTEL NOC-CS07 Week 6.1 Ponnurangam Kumaraguru (“PK”) Associate Professor ACM Distinguished Speaker fb/ponnurangam.kumaraguru, @ponguru

Week 6.1: eCrime

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Page 1: Week 6.1: eCrime

Privacy and Security in Online Social Media

Course on NPTELNOC-CS07

Week 6.1

Ponnurangam Kumaraguru (“PK”)Associate Professor

ACM Distinguished Speakerfb/ponnurangam.kumaraguru, @ponguru

Page 2: Week 6.1: eCrime

Topics that we will cover

⚫Overview of OSM ⚫ Linux / Python / Twitter API / Mongo DB / MySQL

[Hands-on] ⚫ Trust & Credibility ⚫ Privacy ⚫ Policing ⚫ Social Network Analysis, NLTK [Hands-on] ⚫ e-crime⚫ Plotly / Highcharts / Geo-location analysis

[Hands-on] ⚫ Identity resolution ⚫What next – Deep learning, machine learning, NLP,

Image analysis 2

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Multiple Police Dept. on OSN

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Objective of Study

Whether OSN can support police to get actionable information about crime and

residents’ opinion about policing activities in urban cities of India.

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Understanding Needs

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Understanding Wants

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Research Questions

⚫RQ 1: Topical Characteristics- Nature of content and topics that characterize social

media discussion threads

⚫RQ 2: Engagement Characteristics- How do citizens and police engage in social media

discussion threads?

⚫RQ 3: Emotional Exchanges - Nature of emotions and affective expression that

manifest on social media

⚫RQ 4: Cognitive and Social Orientation-What are the linguistic attributes that characterize

cognitive and social response processes?

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Methodology

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85 Public and official Police Department

Average age 3 years (from 2010 – April 2015)

47,474 wall posts and 85,408 status updates

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Technological Implications

⚫Helping communities to make consensus based decisions regarding support and actions they seek from police

⚫Help gauge changing emotions and behaviour among citizens-Timely and early predictive analytical systems

⚫Sense and record the reactions of citizens and share these records with decision makers-Take timely measures and gain better insights

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Topics that we will cover

⚫Overview of OSM ⚫ Linux / Python / Twitter API / Mongo DB / MySQL

[Hands-on] ⚫ Trust & Credibility ⚫ Privacy ⚫ Policing ⚫ Social Network Analysis, NLTK [Hands-on] ⚫ e-crime⚫ Plotly / Highcharts / Geo-location analysis

[Hands-on] ⚫ Identity resolution ⚫What next – Deep learning, machine learning, NLP,

Image analysis 10

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Different crimes on OSM

⚫Phishing⚫Fake X ⚫Social reputation: Fake followers /

Crowdturfing⚫Clickbaiting ⚫Account compromise⚫Account impersonation ⚫Work form home scam⚫…

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⚫Act of tricking someone into handling over her login credentials in order to exploit personal information

Phishing

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Phishing

⚫Facebook Technical Support sent you a notification

⚫Facebook new login system

⚫…..

⚫Facebook credentials being important now!

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Fake customer service accounts

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Fake comments on popular posts

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Fake live streaming videos

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Fake online discounts

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Fake online surveys and contests

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Advertising / Marketing

Scam / Phishing

Foursquare Spam: Fake Tip

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Social reputation

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Social reputation manipulation

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Clickbaiting

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# hijacking

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# hijacking

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Compromised account

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Impersonation

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Work from home scam

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Thank [email protected]

precog.iiitd.edu.in fb/ponnurangam.kumaraguru