Cloud Security Engineering: Theory, Practice and Future Research

Choo, Kim‐Kwang Raymond; Rana, Omer F.; Rajarajan, Muttukrishnan

doi:10.1109/tcc.2016.2582278

Cited by 16 publications

(14 citation statements)

References 27 publications

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“…The analysis might be improving the efficiency of the scheme as the squashing technique is time consuming. Kim-Kwang Raymond Choo et al [15] presented potential topics for future research work in cloud security engineering. They include advanced security features, cloud-based intrusion detection and prevention systems, distributed authentication and authentication, implementation of cryptographic and key management strategies in clouds (e.g.…”

Section: Related Workmentioning

confidence: 99%

Ensure Data Protection in Cloud Computing using ASCII Based Encryption Technique

Shivanna¹,

S²

2019

IJITEE

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Cloud computing is an engineering discipline which is concerned with all aspect of storing and sharing useful data. Today, millions of users are able to upload and download useful information on cloud environment from anywhere at any time. Recently, many security issues are encountered in real time applications with a great loss of data and information. Subsequently, many research works have been done to highjack the security issues of cloud computing. Still, all feasible solutions may not applicable at all time and some practical situations. In this paper, we designed and implemented an ASCII based encryption technique that securely uploads, sharing the data on cloud framework with a minimum computational overhead and entropy. The proposed technique will increase the throughput of the system and it can be deployed on a cloud environment for sharing and securing useful data information

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Section: Related Workmentioning

confidence: 99%

Ensure Data Protection in Cloud Computing using ASCII Based Encryption Technique

Shivanna¹,

S²

2019

IJITEE

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“…EIoT consists of different devices such as edge router (gateway node), various users and smart devices. Most of the time interested users can access real-time data possessed by the smart devices [3,[5][6][7][8]. For such kind of communication environment, edge computing provides additional benefits such as "enhanced security, decreased bandwidth and reduced latency".…”

Section: Introductionmentioning

confidence: 99%

Designing Efficient Sinkhole Attack Detection Mechanism in Edge-Based IoT Deployment

Pundir

Wazid

Singh

et al. 2020

Sensors

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The sinkhole attack in an edge-based Internet of Things (IoT) environment (EIoT) can devastate and ruin the whole functioning of the communication. The sinkhole attacker nodes ( S H A s) have some properties (for example, they first attract the other normal nodes for the shortest path to the destination and when normal nodes initiate the process of sending their packets through that path (i.e., via S H A ), the attacker nodes start disrupting the traffic flow of the network). In the presence of S H A s, the destination (for example, sink node i.e., gateway/base station) does not receive the required information or it may receive partial or modified information. This results in reduction of the network performance and degradation in efficiency and reliability of the communication. In the presence of such an attack, the throughput decreases, end-to-end delay increases and packet delivery ratio decreases. Moreover, it may harm other network performance parameters. Hence, it becomes extremely essential to provide an effective and competent scheme to mitigate this attack in EIoT. In this paper, an intrusion detection scheme to protect EIoT environment against sinkhole attack is proposed, which is named as SAD-EIoT. In SAD-EIoT, the resource rich edge nodes (edge servers) perform the detection of different types of sinkhole attacker nodes with the help of exchanging messages. The practical demonstration of SAD-EIoT is also provided using the well known NS2 simulator to compute the various performance parameters. Additionally, the security analysis of SAD-EIoT is conducted to prove its resiliency against various types of S H A s. SAD-EIoT achieves around 95.83 % detection rate and 1.03 % false positive rate, which are considerably better than other related existing schemes. Apart from those, SAD-EIoT is proficient with respect to computation and communication costs. Eventually, SAD-EIoT will be a suitable match for those applications which can be used in critical and sensitive operations (for example, surveillance, security and monitoring systems).

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“…In an edge‐based IoT environment, there are cloud servers, edge nodes (gateways), different types of users, and smart devices (ie, smart ac controller). In such an environment, the users are usually interested to access the “real‐time data possessed by the smart devices.” Edge‐based IoT environment offers various services including “data, storage, compute, and application services to the end‐users” as the cloud computing also performs these mentioned functions . In such an environment, edge node provides several benefits including “enhanced security, decreased bandwidth and reduced latency.” Therefore, it becomes a promising technology for numerous IoT services.…”

Section: Introductionmentioning

confidence: 99%

“…5,6 Edge-based IoT environment offers various services including "data, storage, compute, and application services to the end-users" as the cloud computing also performs these mentioned functions. 4,[6][7][8][9] In such an environment, edge node provides several benefits including "enhanced security, decreased bandwidth and reduced latency." Therefore, it becomes a promising technology for numerous IoT services.…”

Section: Introductionmentioning

confidence: 99%

RAD‐EI: A routing attack detection scheme for edge‐based Internet of Things environment

Wazid

Dsouza

Das

et al. 2019

Int J Communication

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Summary Internet of Things (IoT) offers various types of application services in different domains, such as “smart infrastructure, health‐care, critical infrastructure, and intelligent transportation system.” The name edge computing signifies a corner or edge in a network at which traffic enters or exits from the network. In edge computing, the data analysis task happens very close to the IoT smart sensors and devices. Edge computing can also speed up the analysis process, which allows decision makers to take action within a short duration of time. However, edge‐based IoT environment has several security and privacy issues similar to those for the cloud‐based IoT environment. Various types of attacks, such as “replay, man‐in‐the middle, impersonation, password guessing, routing attack, and other denial of service attacks” may be possible in edge‐based IoT environment. The routing attacker nodes have the capability to deviate and disrupt the normal flow of traffic. These malicious nodes do not send packets (messages) to the edge node and only send packets to its neighbor collaborator attacker nodes. Therefore, in the presence of such kind of routing attack, edge node does not get the information or sometimes it gets the partial information. This further affects the overall performance of communication of edge‐based IoT environment. In the presence of such an attack, the “throughput of the network” decreases, “end‐to‐end delay” increases, “packet delivery ratio” decreases, and other parameters also get affected. Consequently, it is important to provide solution for such kind of attack. In this paper, we design an intrusion detection scheme for the detection of routing attack in edge‐based IoT environment called as RAD‐EI. We simulate RAD‐EI using the widely used “NS2 simulator” to measure different network parameters. Furthermore, we provide the security analysis of RAD‐EI to prove its resilience against routing attacks. RAD‐EI accomplishes around 95.0% “detection rate” and 1.23% “false positive rate” that are notably better than other related existing schemes. In addition, RAD‐EI is efficient in terms of computation and communication costs. As a result, RAD‐EI is a good match for some critical and sensitive applications, such as smart security and surveillance system.

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Cloud Security Engineering: Theory, Practice and Future Research

Abstract: This is the accepted version of the paper.This version of the publication may differ from the final published version. Permanent repository link:

Cited by 16 publications

References 27 publications

Ensure Data Protection in Cloud Computing using ASCII Based Encryption Technique

Ensure Data Protection in Cloud Computing using ASCII Based Encryption Technique

Designing Efficient Sinkhole Attack Detection Mechanism in Edge-Based IoT Deployment

RAD‐EI: A routing attack detection scheme for edge‐based Internet of Things environment

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