Paper Details

Time-critical wireless applications in rising network systems, like healthcare and sensible grids, are drawingincreasing attention in each business and academe. The printed nature of wireless channels inescapably exposes suchapplications to electronic jamming attacks. However, existing strategies to characterize and notice electronic jammingattacks cannot be applied on to time-critical networks whose communication traffic model differs from standard models.In this paper we recommend a brand new category of anti-jamming issues wherever the kind of intelligence associatedwith an electronic jamming attack is unknown. Specifically, we tend to take into account a problem wherever the nodes ofa peer-to-peer network don't grasp whether or not the network is under fire by a random sender (which may well bethought of as a natural background noise), or associate degree intelligent one (i.e., the sender UN agency will adapt hisstrategy supported data gained throughout attacks). The goal of the nodes is to identify the kind of the attack supporteddata obtained from the attack in previous time slots, and thereby to cut back the potency of the electronic jammingattack. First we tend to model the matter as a theorem game for one slot attack, and reduce it to the answer of twinapplied math (LP) issues.

Anita Wakode, Mayuri Halnor, Rashmi Singh, Prof.Aditi Chaturvedi, “Detecting Jamming Using RTS CTS Strategy”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 3, Issue 12, pp. 444-446, December 2016.