4 research outputs found
Discovery of Malicious Attacks to Improve Mobile Collaborative Learning (MCL)
Mobile collaborative learning (MCL) is highly acknowledged and focusing
paradigm in eductional institutions and several organizations across the world.
It exhibits intellectual synergy of various combined minds to handle the
problem and stimulate the social activity of mutual understanding. To improve
and foster the baseline of MCL, several supporting architectures, frameworks
including number of the mobile applications have been introduced. Limited
research was reported that particularly focuses to enhance the security of
those pardigms and provide secure MCL to users. The paper handles the issue of
rogue DHCP server that affects and disrupts the network resources during the
MCL. The rogue DHCP is unauthorized server that releases the incorrect IP
address to users and sniffs the traffic illegally. The contribution specially
provides the privacy to users and enhances the security aspects of mobile
supported collaborative framework (MSCF). The paper introduces multi-frame
signature-cum anomaly-based intrusion detection systems (MSAIDS) supported with
novel algorithms through addition of new rules in IDS and mathematcal model.
The major target of contribution is to detect the malicious attacks and blocks
the illegal activities of rogue DHCP server. This innovative security mechanism
reinforces the confidence of users, protects network from illicit intervention
and restore the privacy of users. Finally, the paper validates the idea through
simulation and compares the findings with other existing techniques.Comment: 20 pages and 11 figures; International Journal of Computer Networks
and Communications (IJCNC) July 2012, Volume 4. Number