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A deadlock is a system state in which every process in some group requests resources from other processes in the group, and then waits indefinitely for these requests to be satisfied. Deadlocks have a very adverse effect on the efficient working of operating system therefore they should be either prevented, avoided or if exist should be detected and resolved. Because distributed systems are more vulnerable to deadlocks, the problems of deadlock detection and resolution have long been considered important problems in such systems. This paper provides a comprehensive review of the some of the existing techniques for deadlock detection in distributed environment.

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Cloud computing is a specialised form of distributed computing that introduces utilization models for remotely provisioning scalable and measured resources. The driving motivation behind the cloud computing is to provide IT resources as a service that encapsulates other IT resources. Data service outsourcing is one of the service that is economically enabled by the cloud computing. But in order to protect data privacy sensitive data has to be encrypted before outsourcing to the commercial public cloud. Data encryption protects data security to some extent, but this may lead to a compromise on the part of efficiency of storage and retrieval on the server. This paper analyzes various searchable encryption schemes where data owner itself is responsible for his data security. These searchable encryption schemes allow retrieval of encrypted data over the cloud thereby making data retrieval fast and efficient. These schemes also guarantee high security and efficiency.

<p class="Abstract">In this tumultuous 21st century, we are surrounding by lots of applications such as social media websites all over the internet or this era can also define as digital era in which everything is accessible over the internet. There are billions of internet users all over the world and they share their information over the same and because of this lots of people intentionally trying to steal the confidential data of other people, so it is always advisable to share and store data in encrypted form. In this paper, we discuss different encryption and decryption algorithms and compare them with respect to time take by these algorithms for encrypting and decrypting different sizes of files.</p>

Abstract-Past few years the use of Internet and its applications has increased to a great extent. There is also an enormous growth in the establishment of computer networks by large, medium and small organizations, for data transfer and information exchange. Due to this huge growth, incidents of cyber-attacks and security breaches have also increased. Data on a network is transferred using protocols such as Hyper Text Transfer Protocol, which is very vulnerable. Many types of malicious contents are hidden in packets that are transferred over a network or system, which may can to get it slow, crash or buffer overflow etc. Thus it is very important to secure networks from such types of attacks. There are lots of mechanisms available but still they are not good enough because of dynamic environment. Such kind of attacks can be countered by applying appropriate policies on network edge devices like Adaptive Security Appliance, firewalls, web servers, router etc. Also the packets which are transferred between networks, they should deeply inspect for malicious or any insecure contents. In this paper firstly we would study Network security issues and available mechanism to counter them our focus would be on inspecting the HTTP packets deeply by applying policies on ASA. Finally we would use Graphical Network Simulator (GNS3) to test such a policy.

Wireless Sensor Networks are emerging technologies that are diverse on energy consumption from different aspects. In the task mode, energy consumption of sensor nodes is categorized in, data packet transmitting, data processing and idle mode. Fundamentally, higher power is required and utilized at the time of data transreceive as comparing to idle mode. However, power consumption of sensor in idle mode is necessarily important. To conserve energy, the network must provide quality of service sleep schedule, and use a mechanism to turn off the radio receiver periodically in coordinating method. Moreover, through dynamically round task management of sensors, significant energy saving can be achieved. Based on tasks and sleep schedules, nodes can form their clusters. It is necessary for real-time wireless applications to cogitate data transmit at the actual and response time based on the queries or tasks. This paper proposes Dynamic Immediate Data Report (DIDR) for real-time communication to schedule sleep mode of sensors in the network. Furthermore, to minimize the network energy consumption, Dynamic Schedule Data Report (DSDR) method is proposed. This method shows its efficiency by reducing the active time of nodes in the network. The performance analysis of the proposed works, illustrate effectively more energy efficiency as compared to existing methods.