A method for detecting active radiofrequency, RF, wireless communication in a region, the method as being implemented in a system comprising a central server and a plurality of client systems, the method comprising processor implemented steps of: identifying one or more mobile bands present in the region, wherein each of the one or more mobile bands are present in a plurality of mobile signals coming out of a mobile tower in the region, wherein each of the one or more mobile bands has downlink frequencies; dividing the downlink frequencies of the one or more mobile bands among a plurality of frequency slots, wherein the plurality of frequency slots is at least one of a 2G signal, a 3G signal, a 4G signal, a 5G signal and further distributing the downlink frequencies among the plurality of client systems in time division domain, wherein the distribution is performed dynamically depending upon availability of the plurality of client systems by the central server; detecting active channels out of the one or more mobile bands based on a broadcast control channel information, BCCH, transmitted by the mobile tower in the region; sending the BCCH information of the detected active channels back to the central server; calculating respective uplink channel frequency corresponding to the detected active channel from the downlink frequencies; redistributing the detected active channels among the plurality of client systems dynamically in the time division domain; tuning a plurality of software defined radios, SDRs, associated with the plurality of client systems to the calculated uplink channel frequencies, wherein the plurality of client systems comprise a Launcher application, and the Launcher application is started before the start of an examination in the region; capturing a raw signal generated from the SDRs in the form of binary data; performing a cyclic-autocorrelation on the raw signal; filtering a cyclic-autocorrelated signal resulting from performing the cyclic-autocorrelation on the raw signal to remove a plurality of noises; enhancing and extracting a plurality of features from the filtered cyclic-autocorrelated signal, wherein the plurality of features includes peak position, standard deviation, slope calculation and ratio calculation and wherein the peak position is derived from the cyclic auto correlated signal and the standard deviation, the slope calculation and the ratio calculation are derived from normal distribution of the cyclic auto correlated signal, wherein the filtered cyclic-autocorrelated signal is normalized to extract the peak position; providing the extracted plurality of features to a support vector machine classifier to classify the presence of an active RF signal; extracting a target device signal information if the active RF signal is detected; and sending the target device signal information to the central server. identifying one or more mobile bands present in the region, wherein each of the one or more mobile bands are present in a plurality of mobile signals coming out of a mobile tower in the region, wherein each of the one or more mobile bands has downlink frequencies; dividing the downlink frequencies of the one or more mobile bands among a plurality of frequency slots, wherein the plurality of frequency slots is at least one of a 2G signal, a 3G signal, a 4G signal, a 5G signal and further distributing the downlink frequencies among the plurality of client systems in time division domain, wherein the distribution is performed dynamically depending upon availability of the plurality of client systems by the central server; detecting active channels out of the one or more mobile bands based on a broadcast control channel information, BCCH, transmitted by the mobile tower in the region; sending the BCCH information of the detected active channels back to the central server; calculating respective uplink channel frequency corresponding to the detected active channel from the downlink frequencies; redistributing the detected active channels among the plurality of client systems dynamically in the time division domain; tuning a plurality of software defined radios, SDRs, associated with the plurality of client systems to the calculated uplink channel frequencies, wherein the plurality of client systems comprise a Launcher application, and the Launcher application is started before the start of an examination in the region; capturing a raw signal generated from the SDRs in the form of binary data; performing a cyclic-autocorrelation on the raw signal; filtering a cyclic-autocorrelated signal resulting from performing the cyclic-autocorrelation on the raw signal to remove a plurality of noises; enhancing and extracting a plurality of features from the filtered cyclic-autocorrelated signal, wherein the plurality of features includes peak position, standard deviation, slope calculation and ratio calculation and wherein the peak position is derived from the cyclic auto correlated signal and the standard deviation, the slope calculation and the ratio calculation are derived from normal distribution of the cyclic auto correlated signal, wherein the filtered cyclic-autocorrelated signal is normalized to extract the peak position; providing the extracted plurality of features to a support vector machine classifier to classify the presence of an active RF signal; extracting a target device signal information if the active RF signal is detected; and sending the target device signal information to the central server.