Implementation of Secure Log Management Over Cloud

A Log records are very important information which is related to activities of systems, applications or networks and these log records having various fields and their syntax. Actually logs are automatically generated on activities that are done and doing by user on system, or on any Applications such as Google Chrome or in networks. These logs are costly and need to any organization for future references such as to identify or finding any problems, to record all events, to find performance, and to investigate malicious activities in systems or networks or in application. So, protection of logs from attackers is required. Hence organization should maintain integrity, confidentiality, and security of logs. The cost to maintain logs for organizations for longer period is very less. Hence, we developed secure log management over cloud to decrease cost as well as provide security of log from attackers. To achieve this, we have done this with the help of Blowfish algorithm to Encrypt log records then SHA-1 is used to provide confidentiality while transmitting and at end point security purpose we used Shamir’s Secret sharing algorithm. DOI: 10.17762/ijritcc2321-8169.150511

Tilannekuvan muodostaminen tietojärjestelmistä

As the complexity of networks increases, new tools need to be implemented in order to maintain control over the connected devices. The thesis presents a way to reach situation awareness in computer system in a cost-effective way without compromising flexibility and scalability. The definition in situation awareness in cyber security context includes i.e. that one needs to be aware of the current situation, how situations evolve and why and how the current situation is caused. In order to achieve situation awareness, two tools are presented: monitoring system and log analytics platform. Monitoring system is a proactive system which keeps track of status about all the devices and services conigured to be monitored. The status and received events are stored for later usage, and graphs are drawn based on values of different services and statuses. Log analytics platform is a reactive system which provides insight into structured and enriched log data. It can visualize the log data, analyze and alarm based on pre-defined rules and utilize machine learning for anomaly detection. These two systems are integrated together using alarming feature of the monitoring system, so that logs can be linked to the exact device in monitoring system, hence collecting the relevant data in one centralized view so that the incidents can be investigated further on log analytics platform. Together they provide deep insight into the computer system and enable situation awareness

Secure Data Sharing in Cloud Computing: A Comprehensive Review

Cloud Computing is an emerging technology, which relies on sharing computing resources. Sharing of data in the group is not secure as the cloud provider cannot be trusted. The fundamental difficulties in distributed computing of cloud suppliers is Data Security, Sharing, Resource scheduling and Energy consumption. Key-Aggregate cryptosystem used to secure private/public data in the cloud. This key is consistent size aggregate for adaptable decisions of ciphertext in cloud storage. Virtual Machines (VMs) provisioning is effectively empowered the cloud suppliers to effectively use their accessible resources and get higher benefits. The most effective method to share information resources among the individuals from the group in distributed storage is secure, flexible and efficient. Any data stored in different cloud data centers are corrupted, recovery using regenerative coding. Security is provided many techniques like Forward security, backward security, Key-Aggregate cryptosystem, Encryption and Re-encryption etc. The energy is reduced using Energy-Efficient Virtual Machines Scheduling in Multi-Tenant Data Centers

Secure data sharing in cloud computing: a comprehensive review

Cloud Computing is an emerging technology, which relies on sharing computing resources. Sharing of data in the group is not secure as the cloud provider cannot be trusted. The fundamental difficulties in distributed computing of cloud suppliers is Data Security, Sharing, Resource scheduling and Energy consumption. Key-Aggregate cryptosystem used to secure private/public data in the cloud. This key is consistent size aggregate for adaptable decisions of ciphertext in cloud storage. Virtual Machines (VMs) provisioning is effectively empowered the cloud suppliers to effectively use their accessible resources and get higher benefits. The most effective method to share information resources among the individuals from the group in distributed storage is secure, flexible and efficient. Any data stored in different cloud data centers are corrupted, recovery using regenerative coding. Security is provided many techniques like Forward security, backward security, Key-Aggregate cryptosystem, Encryption and Re-encryption etc. The energy is reduced using Energy-Efficient Virtual Machines Scheduling in Multi-Tenant Data Centers