INTRODUCTION: In Body Area Network (BAN), sensors are implanted under the skins. Then the values of Patient Health Information is retrieved and these datas are send to the hospital server. According to the data which was received, doctor prescribe the medicine for the patients. Patient health information contains the details of Blood Pressure, Heart rate, Respiration rate. During the process of collecting the data, nodes may be hacked by the attacker in the network. Attack may be a Replay attack, Denial of Service attack, Sybil attack, collusion attack, collision attack, node capture attack, black hole attack, stolen verifier attack, impersonation attack, insider attack 1. Due to this reasons data may be lost. So it lead to the incorrect treatment to the patient from the doctor side. Wrong treatment affect the patient health, sometimes it lead to the death of the patient. Similarly, Due to the low energy, the node may be shutdown and the data may not send. So security, energy is the main issue in BAN. In our proposed system, Security issue is solved. Our proposed approach is used to send the data from the client side (Mobile Phone) (ie) Control Unit to the server (Server side) in a secure manner. In general, BAN is in three tier architecture: WBAN sensor, Personal Server, Medical Server2. WBAN Sensor tier consist of Wearable sensors which are capable to sense and communicate. Personal Server it interface the sensor nodes and mobile phone or zigbee. Medical Server includes the database in the hospital server. RELATED WORK: In paper 3 security is provided by four phases. In phase 1, system initialization is performed as distributing the shadow ID and emergency key values by the Key Generation Center (KGC). In phase 2, private key is generated based on the user attributes and it is used for the decryption process. Then session key is encrypted with the access tree structure. In phase 4, two phase commitment is established and it ensures the reliable and secure connection. MASK-BAN 4 is implemented in 4 phases. In the initial authenticated pairwise key generation phase, adaptive secret bit generation (ASBG) technique is used to generate the pairwise key. In the authenticated secret capacity broadcast phase, each node has the knowledge of all the channel capacity information and the details of the trusted neighbors. In deciding maximum Entropy phase, maximum size of the secret key is found and maximum entropy is also found. In key aggregation broadcast phase, Maximum path is found. The key values of that path is concatenated with the secret key. By using elliptic curve cryptography 5, an explicit mutual authentication between the nodes are established. It includes four phases. System initialization phase performs offline tasks and distributes the identities to the sensor and coordinator nodes. Authentication phase is based on the timestamp values. It is based on secrecy of the one-way hash function, the elliptic curve discrete logarithm problem (ECDLP), and the encryption algorithm. It resistance to the message replay attack, legal node masquerade attack, Sybil attack, fabrication attack and provide privacy. One Time Pad value (OTP) value 6 is used to provide security. It have been created by an adequate random number generator. One copy has to be stored on the base station and another copy has to be transferred to the node. It is able to recharge OTPs to a node, a secure channel has to be used. Encryption is done by XOR the value of OTP and the plaintext. Decryption is done by XOR the value of OTP and the cipher text. OTP used only once. But copies of the OTP are destroyed immediately after use. This results in a cipher text that has no relation with the plaintext when the key is unknown. Replace the memory card is the one way of exchanging the pad. OTP generated in a random manner so it provides more security. Privacy of the node is established 7 by using anonymous authentication protocol. It consist of three phases. In User Registration Phase, legal user should registered to the gateway. During this phase, the gateway directly access a sensor data. Remedy phase provides the remedy for DOS attack in WSN based anonymous authentication protocols. Shadow Id and Emergency key is used in this phase. Remedy request is send to the gateway. In Re-Loading Phase, the shadow identity and emergency key pairs are reloaded with the new pairs. ALARM-NET 8 system provides pervasive and adaptive healthcare for continuous monitoring using environmental and wearable sensors. ALARM-NET implements a WSN for smart healthcare by creating a medical history log, while preserving the patient’s privacy. Authorized care providers may monitor resident health and activity patterns, such as circadian rhythm changes, which may signify changes in healthcare needs. Sensor can sense even a little changes in the health values. SMART 9, it was developed to monitor physiological signals from patients in the waiting areas of emergency departments. There have been various cases in which the medical team has found that the patient’s health deteriorates rapidly while waiting in an emergency room. Since time is of an essence in this situation, patient’s lives cannot be risked because of the lack of attention provided in emergency rooms. To help in solving this problem, the SMART System can be used to collect data from various patients waiting in an Emergency room, and wirelessly send it to a central computer that collects and analyzes the data. Calculations are performed at the central server to issue an alert signal if the health of a particular patient deteriorates. This way, patients can receive treatment before the condition worsens. CareNet 10 developed an integrated wireless environment used for remote health care systems. It offers features such as: high reliability and performance, scalability, security and integration with web-based portal systems. High reliability is achieved using a 2-tier architecture. The portal allows caregivers to efficiently access the sensor network data through a unified medical record system.