Idea - FICS

DataTrove

Team and Contact Details

Student Name School Degree Year Email
Naqash AshrafMCSUndergraduateFourth[email protected]
Manal Vazeela TalatMCSUndergraduateFourth[email protected]
Sameeta SherMCSUndergraduateFourth[email protected]
Maham HidayatMCSUndergraduateFourth[email protected]

Inter School Idea ? No
Do you need expertises from another area: No
If Yes please provide details of expertises you need:

Idea Details

Idea Name: DataTrove
Slogan: We don’t mind getting attacked
Supervisor Name: Waleed Bin Shahid
Supervisor Designation: Assistant Professor
Supervisor School: Military College of Signals
Supervisor Department: Department of Information Security
Contact number: 03333305533
Email ID: [email protected]
Abstract:
    DataTrove is a complete machine learning based security solution which protects against Scanning, DoS and web attacks in real-time by engaging the attacker using an efficient honeypot approach.
What is the unmet need in society that your idea will fulfill ?
    Security managers focus on thwarting network and web attacks by curbing all sorts of infiltration but little is generally done to engage the attacker for analyzing in detail the attack motives, tactics, motivation and expertise. DataTrove fills this gap by joining detection with deception.
Who needs it ? How many would benefit ?
   DataTrove benefits all individuals and organizations like corporate sector, big or small enterprises and sensitive organizations, who apart from thwarting attacks are also interested in their detailed analysis. It is also helpful to the research community for understanding latest attack techniques.
How will the solution works
    DataTrove
Who are your competitors ? How is your solution different
    Attack detection and Honeypot solutions by commercial vendors are expensive and untrustworthy for local consumers whereas many open-source solutions lack functionality. DataTrove will be cheaper, customizable, trustworthy, indigenous and would provide guaranteed protection against key attacks.
Status: new
Entry Date & Time: 2020-12-10 (0602)