Wireless networks are often vulnerable to all kind of security attacks due to its open structure. i.e. free to join and leave the network. Much of the attacks are formed as intentional interference, generally called as jamming, which can be used as a launchpad for mounting DoS attacks over Wireless Networks. Thus for, a typical jamming attacks were addressed using external threat model. However, an attaker can launch a low-effort jamming on the network medium if protocal specifications and network secrets are known. In such scenarios, the attacker targets mesages that has high importance using packet classification at physical layer in short period of time. We have used combination of cryptographic primitives with physical layer attributes to prevent packet classification and a SWARM intelligence algorithm to prevent selective jamming attacks over wireless networks. On the basis of channel information, the sender and receiver changes its channel to stay away from the jammer. © 2016, International Journal of Pharmacy and Technology. All rights reserved.