  Mobile collaborative learning (MCL) is extensively recognized field all over
the world. It demonstrates the cerebral approach combining the several
technology to handle the problem of learning. MCL motivates the social and
educational activities for creating healthier environment. To advance and
promote the baseline of MCL, different frameworks have been introduced for MCL.
From other side, there is no highly acceptable security mechanism has been
implemented to protect MCL environment. This paper introduces the issue of
rogue DHCP server, which highly affects the performance of users who
communicate with each other through MCL. The rogue DHCP is unofficial server
that gives incorrect IP address to user in order to use the legal sources of
different servers by sniffing the traffic. The contribution focuses to maintain
the privacy of users and enhances the confidentiality. The paper introduces
multi-frame signature-cum anomaly-based intrusion detection systems (MSAIDS)
supported with innovative algorithms, modification in the existing rules of IDS
and use of mathematical model. The major objectives of research are to identify
the malicious attacks created by rogue DHCP server. This innovative mechanism
emphasizes the security for users in order to communicate freely. It also
protects network from illegitimate involvement of intruders. Finally, the paper
validates the mechanism using three types of simulations: testbed, discrete
simulation in C++ and ns2. On the basis of findings, the efficiency of proposed
mechanism has been compared with other well-known techniques.
