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Are you interested?

We are looking for highly motivated students in security and privacy research

If you are interested in our work, please send an email at stalukder@edinboro.edu.

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Are you interested?

We are looking for highly motivated students in security and privacy research

If you are interested in our work, please send an email at stalukder@edinboro.edu.

img

Are you interested?

We are looking for highly motivated students in security and privacy research

If you are interested in our work, please send an email at stalukder@edinboro.edu.

Social Networks

Detection and defenses against strangers, abusers, stalkers and spammers.

Distributed Systems

End-to-end data security in the networks and connected systems.

Mobile Applications

Defending mobile apps from malware, hacking, and data exploitation.

Faculty

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Dr. Sajedul Talukder

Assistant Professor

Director and Lead

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Dr. Dan Bennett

Associate Professor

Lead

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Amanda Porter

Instructor

Lead

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Jason Patalon

Instructor

Systems Specialist

Our Research at PENSLab

Our lab aims to improve security and privacy in online and geosocial networks. In recent years our main focus is on the automated abuse detection and defense system for online social networks like Facebook and developing spammer detection and training tools. We develop novel systems and machine learning methods that have practical applications in fraud and abuse detection in online and geosocial networks like Facebook, Twitter, Instagram, WeChat, etc. The overarching goal of our research is to design and develop machine learning-based automated defense techniques against fraud and abuse to ensure a secure and reliable online social networking experience.

We investigate different fundamental social networking security and privacy challenges. We particularly target Facebook that promotes friend relationships that can lead to numerous abuses ranging from collection and misuse of sensitive private data to cyberbullying and distribution of malware, fake news, and propaganda. Our research challenges the proposed academic work and existing implementations and introduces novel approaches to develop privacy-enhanced secure solutions.

Featured Projects

AbuSniff

AbuSniff: Detection and defenses against abusive Facebook friends

Designed and developed an automated abuse detection system for online social networks like Facebook by detecting whether the Facebook friend is a perceived stranger or abuser.

Demonstrated various security & privacy vulnerabilities that may originate from friend abuse in Facebook.

Performed analysis over crowdsourced user data and implemented AbuSniff, a social network assistant able to predict abusive Facebook friend using supervised learning and take personalized defensive action.

Evaluated the system by conducting user studies on real Facebook users from 25 countries and 6 continents.

(Android, Java, Python, R, Weka)

Read More
USenSewer

USenSewer: Ultrasonic Sensor and GSM-Arduino Based Sewage System

Designed a novel system to crack down on the stranger and abusive pending friends on Facebook.

Analyzed the pending friend acceptance behavior of a number of Facebook users spanning different demographics, gender, age and education groups.

Performed experiments and user studies to leverage new Facebook user interface in order to make adolescents aware of risky decisions and encourage safe choices.

Developed FLock, a tool to automatically identify stranger and abusive pending friend with a minimal access to the common history between the user and the pending friend.

(Android, Java, Python, R, Weka)

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Mobile IP

Attacks and Defenses in Mobile IP: Modeling with Stochastic Game Petri Net

Designed a novel system to crack down on the stranger and abusive pending friends on Facebook.

Analyzed the pending friend acceptance behavior of a number of Facebook users spanning different demographics, gender, age and education groups.

Performed experiments and user studies to leverage new Facebook user interface in order to make adolescents aware of risky decisions and encourage safe choices.

Developed FLock, a tool to automatically identify stranger and abusive pending friend with a minimal access to the common history between the user and the pending friend.

(Android, Java, Python, R, Weka)

Read More

1857

Founded

585

Acres

28

Countries

5000

Students

PENSLab Blog

Latest News

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CCSC Eastern Oct 23-24, 2020

ACM CCSC

Two of the Dr. Talukder's papers are accepted for presentation at the ACM CCSC Eastern Conference [Coronavirus Privacy Paper link] [Mobile App Security Paper link].

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Journal Papers Aug 20, 2020

ACM TSC, IJCIS, and IJNSA

Three of the Dr. Talukder's journal papers are accepted at the ACM TSC, Cryptography and Information Security, and Network Security and Its Applications [link].

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ICPC Regional Oct 26, 2019

Programming Contest

Dr. Bennett mentors and leads the EU programming contest team for the 2019 ICPC East Central NA Regional Contest. Here is the team's standing.

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CCSC Eastern Oct 25-26, 2019

Faculty Poster

Dr. Sajedul Talukder presents his faculty poster titled "AbuSniff: An Automated Social Network Abuse Detection System" at the CCSC Eastern Regional Conference [link].

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CCSC Eastern Oct 25-26, 2019

Nifty Idea

Amanda Porter presents her Nifty Idea at the CCSC Eastern Regional Conference about teaching strategy that instructors can incorporate into their courses [link].

I am lucky to have the opportunity to work with the cybersecurity team. I learned a lot and I will pass on this knowledge to others as well.

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Anthony Criscione

Former Student

Thank you from my heart for everything. I wasn't a great student, but I learned how to work hard to achieve something.

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Rebaca Michel

Former Student