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PhD in Lightweight Misbehavior Detection in Cyber Security
PhD in Intrusion Detection Using Machine Learning
May 27, 2021PhD in Lightweight Authentication based Cyber System
May 27, 2021
PhD in Lightweight Misbehavior Attack Detection Management of WSN Cyber Security System
Wireless sensor networks are easily affecting network in which destructing nodes will create fake identity to gain high benefits through byzantine method.it is much helpful for increase safety for the road users. This benefits a lightweight solution for trust evaluation, privacy evaluation and security.it is effectively detect misbehavior of an IOT devices in various systems. The machine learning anomaly detection method based matrices are been followed. through Lightweight misbehavior attack detection management of wsn cyber security system.
RESEARCH APPROACH:
The cryptographic concept is implemented for this proposal where the protocol are widely based on permit anonymously from the FAs to verify every valid permits so that it cannot violate the privacy of EV. It happens before every single permissions or in charging request. In pseudonym collection protocol that the EVs sends the tokens and receive the pseudonym likewise it is only once usable tokens .by this form of promising privacy policy the security system detects the various types of new attacks. And finally analyze the performance and security attack using the framework. Based on Lightweight misbehavior attack detection management of wsn cyber security system
LATEST ISSUES:
- The Revocable anonymity framework is not applicable in vehicle to grid (V2G) communication due to lack of an intermediary which verify EV’s identity.
- Benevolent node will sometimes behave badly temporarily due to network congestion and software failure.
- The Sybil attack is one of the crucial problem needed to rectify for the security of WSN.
- The token collection in pseudonym will took longest time due to operation digital signatures.
PROPOSED SOLUTION:
- A Trust evaluation based security will be proposed as countermeasure against Sybil attack to provide proper security decisions on data protection and secure routing.
- The smart grid will helps to resolve overcharging by employing proper scheduling and coordination of the charging service in advance manner.
- By the usage of state-machine-based monitoring MedIoT is still more effective than SVM and KNN and which greatly improves runtime detection accuracy.
- Malicious nodes changes its identity time to timing in order to get undetected from other resources. based on Lightweight misbehavior attack detection management of wsn cyber security system
FUTURE PROPOSAL:
- In this proposal they are following the revocable anonymous authentication framework for authentication.
- In future there is a need to fix the issue based on computationally expensive to be used for communication between EVs and charging station.
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