With the advancement in automation, periodic testing of electronic circuits during their lifetime is becoming more and more important. For such a circuit, it is thus very much necessary to reduce the power requirement during the testing phase also. This paper presents a Genetic Algorithm based formulation to solve the problem of generating a test pattern set such that it has high fault coverage and low power consumption. Exhaustive experimentation done on ISCAS85 combinational benchmark suite has shown that the this tool results in upto 78% reduction in transition activity over the original test set generated by ATPGs like ATALANTA [1].

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Mobile ad hoc networks (MANET) are collections of self-organizing mobile nodes with dynamic topologies and have no fixed infrastructure. MANET do not have centralized administration, here nodes act as both host as well as router and communicate by forwarding packets for each other in multi hop way, because of the fundamental characteristics like, the open medium, dynamic network topology,lack of centralized monitoring and management these networks are particularly vulnerable to various types of attacks. One of the routing protocol being used for wireless network is Ad hoc on demand distance vector (AODV).Black hole is one of the attack that is launched on AODV. In this attack, the attacker claims the shortest route to the destination and hinders the communication by dropping all the packets. In this paper, a new solution against the Black Hole attack is proposed. This paper demonstrates a timer based detection approach for identifying black hole node. In network layer we proposed a Timer based method to overhear the next node action. The simulation results using EXata-Cyber shows that in a dynamic network most of the malicious nodes can be detected and that results in an improved packet delivery ratio.

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