Abstract-Today's wireless networks are vulnerable in many ways including illegal use, unauthorized access, denial of service attacks, eavesdropping so called war chalking. These problems are one of the main issues for wider uses of wireless network. On wired network intruder can access by wire but in wireless it has possibilities to access the computer anywhere in neighborhood. However, securing MANETs is highly challenging issue due to their inherent characteristics. Intrusion detection is an important security mechanism, but little effort has been directed towards efficient and effective architectures for Intrusion Detection System in the context of MANETs. We investigate existing Intrusion Detection Architecture design Issues, challenges and proposed a novel architecture based on a conceptual model for an IDS agent that lead to a secure collaboration environment integrating mobile ad hoc network and the wired backbone. In wireless/mobile ad hoc network, the limited power, weak computation capabilities of mobile nodes, and restricted bandwidth of the open media impede the establishment of a secure collaborative environment.

Ad hoc networks are a new wireless networking paradigm for mobile hosts. Unlike traditional mobile wireless networks, ad hoc networks do not rely on any fixed infrastructure. Instead, hosts rely on each other to keep the network connected. The military tactical and other security-sensitive operations are still the main applications of ad hoc networks, although there is a trend to adopt ad hoc networks for commercial uses due to their unique properties. One main challenge in design of these networks is their vulnerability to security attacks. Here we study the threats an ad hoc network faces and the security goals to be achieved. We identify the new challenges and opportunities posed by this new networking environment and explore new approaches to secure its communication. In particular, we take advantage of the inherent redundancy in ad hoc networks -multiple routes between nodes -to defend routing against denial of service attacks. We use replication and new cryptographic schemes, such as HSHA Key cryptography, to build a highly secure and highly available key management service, which forms the core of our security framework. It helps the network to let the intruder cannot access the packet without the proper authentication. Unauthorized user cannot access the packet. There are various consequences of this algorithm.

The advancements in various technologies have changed the way various industries approach their work and also the way they took corrective steps for betterment in their routine work. The healthcare industry is also one of the adopters of innovative technologies. In recent times, artificial intelligence and its counterpart machine leaning becomes a vital part of healthcare industry which may handle new medical procedures and effective maintenance of patient data. Such advanced technology like machine leaning has a huge trend in the industry and is widely used in many applications. Pattern discovery from versatile medical data sources, prediction of diseases, drug reaction and applications, etc. are the major applications of machine learning in the healthcare domain. Such unprecedented opportunities in the healthcare domain are available because of the explosive growth of health-related data. The chapter will highlight the various applications and techniques of machine leaning in the field of healthcare. It will bridge the gap between available data and effective implementation.