Sanjeev Gupta ¹, Mayank Dave ²

Affiliations
1 Doeacc Society, Autonomous body of Department of Technology, Kurukshetra, IN
2 Department of Computer Engg., National Institute of Technology, Kurukshetra, IN

Abstract

Crises management is a challenging problem for homeland security. The challenging aspect in crisis management is the early assessment of needs and damages. The existing approaches are quite unstructured in nature which results in poor resource management and hence inefficient. In this paper, the architecture for reliable and real time approach by using sensor clusters has been proposed for storage management. Instead of storing information in an individual cluster head as suggested in some approaches, storing of information of all clusters, inside the cell is recommended within the corresponding base station. It is assumed that the sensor nodes are aware of their locations in their deployment area, and they are time synchronized. For data dissemination and action in the wireless sensor network the usage of Action and Relay Stations (ARS) has been proposed. In the designed model sensor nodes are deployed prior to a crisis and the sensed information is stored. In case of emergency stored information is queried to get the report of humans trapped under rubble. It is also used to set the objectives and policies for emergency assistance.

Keywords

Crisis Management, Data Persistent, Decentralization, Reliability, Clustering, Base Station, Action And Relay Stations (ARS)

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Nitesh Bharot ¹, Priyanka Verma ², Veenadhari Suraparaju ¹, Sanjeev Gupta ³

Affiliations
1 Department of Computer Science and Engineering, Aisect University, Bhopal - 464993, Madhya Pradesh, IN
2 Department of Information Technology, ABV-IIITM, Gwalior - 474015, Madhya Pradesh, IN
3 Department of Electronics and Communication, Aisect University, Bhopal - 464993, Madhya Pradesh, IN

Abstract

Objectives: Cloud is becoming a very assertive computing platform now a days due to the availability of resources in a customized manner. But DDoS attack is a very dangerous as it directly affects the availability of resources. So the objective of the paper is to mitigate DDoS attack in cloud network using threshold based technique. Methods/Statistical Analysis: In the proposed solution a list of faulty IP addresses has been prepared based on their performance during the Turing test and named as black list. If the request is from black list than it is directly rejected else forwarded to next step. At the second stage check whether the number of resources available are greater than the request made and also the request for resources is less than the threshold value of resource m, than the resource are allocated to that request else request is rejected. Findings: Cloud resources can be defended from the DDoS attack by any of the three defense mechanisms, i.e. DDoS attack prevention, DDoS attack detection and DDoS attack mitigation and recovery. But it is found that Attack mitigation is the easiest way to defend against the DDos attack because of easily available resources. The paper presented a technique that will easily detect and mitigate the DDos attack and it is very easy to implement with minimum cost and overhead. Application/Improvements: The proposed work can be implemented in any cloud network to save it from wasting the resources for malicious requests. For further improvement client based protection can also be implemented such that the attacker will not be able to form its army for the purpose of DDoS attack.

Keywords

Attack Mitigation, Attack Detection, Cloud Computing, DDoS Attack.

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