Idea Details

Team and Contact Details

SNo Student Name School Degree Year Email
1Usama RasheedMCSUndergraduateThirdusamaazad13141@gmail.com
2Zarmeen AhmadMCSUndergraduateThirdzarmeen_96@hotmail.com
3Maria MarriumMCSUndergraduateThirdj.maria@outlook.com
4Muhammad UmerMCSUndergraduateThirdeftoffe@gmail.com
5Asraa AhmadNBSUndergraduateThirdasraa_attiq@hotmail.com

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

Idea Details

Idea Name: Crozono
Slogan: Secure the Unsecure
Startup Domain: Cyber Security Information Security
Abstract:
    A surveillance drone set up as a cyber security testing tool that can intrude into target's wireless network and send sensitive information to its Command and Control System.
What is the unmet need in society that your idea will fulfill ?
    Pakistan, despite having only 17.2% netizens, is the most infectious country in the world (Microsoft Intelligence Report, 2015). According to Edward Snowden, Pakistan is the second most spied over country by NSA as well. Hence, Pakistan needs to focus on cyber security.
Who needs it ? How many would benefit ?
   Any organization dependent on information infrastructure can carry out risk assessment of their network using our proposed solution. However, Armed forces and intelligence agencies are our core target.
How will the solution works
    Crozono is a portable drone running Kali Linux that will be able to intercept wireless networks and scan its vulnerabilities. It will be able to monitor traffic of the target network. This drone will be artificially intelligent to automatically crack and sniff wireless networks including WiFi and Bluetooth without human intervention.
Who are your competitors ? How is your solution different
    The main competitors are the foreign security agencies who are already using high power UAVs for cyber attacks like Skyjack. Crozono involves sniffing on both WIFI and Bluetooth medium and Vulnerability scanning through fully automated portable system based on Artificial Intelligence.
Status: Approved
Entry Date & Time: 2017-11-30 (2219)