Drive Now, Text Later: Nonintrusive Texting while Driving Detection using Smartphones

The system proposes a security system, named the Internal Intrusion Detection and Protection System (IIDPS for short) at system call level, which creates personal profiles for users to keep track of their usage habits as the forensic features. The IIDPS uses a local computational grid to detect malicious behaviors in a real-time manner the proposed work is regarded with Digital forensics technique and intrusion detection mechanism. The number of hacking incidents are increasing day by day as new technology rolls out. The system designed Intrusion Detection System (IDS) that implements predefined algorithms for identifying the attacks over a network. Therefore, in this project, a security system, named the Internal Intrusion Detection and Protection System (IIDPS), is proposed to detect insider attacks at SC level by using data mining and forensic techniques. The system can identify users forensic features by analyzing the corresponding SCs to enhance the accuracy of attack detection, and able to port the IIDPS to a parallel system further shorten its detection response time.