Co_Hijacking Monitor: Collaborative Detecting and Locating Mechanism for HTTP Spectral Hijacking

Wang, Pan; Chen, Xue-Jiao

doi:10.1109/dasc-picom-datacom-cyberscitec.2017.218

Cited by 6 publications

(6 citation statements)

References 8 publications

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“…The IP spoofing attack occurs on the transport and network layer, where the attacker takes the IP address and delivers data to its autonomous station, where it can be altered [26], [29], [31], [32], [34], [35]. Table 10 shows the summary of MITM attacks on TCP/IP layers.…”

Section: B Affect On Tcp/ip Layersmentioning

confidence: 99%

“…References MITM [22], [25], [26], [27], [28], [29], [31], [32], [33], [34], [35], [37], [41], [42], [43], [44], [45] Session Hijacking [23], [24], [26], [30], [31], [34], [35], [36], [37], [38], [39], [40], [46], [47], [48], [49], [50], [51] hijacking occurs during the HTTP session when the user gets its ID, whereas in-network layer interception occurs during TCP and User Datagram Protocol (UDP) sessions [48]. Fig.…”

Section: Attack Domainmentioning

confidence: 99%

“…1) In TCP hijacking, the attacker formulates an environment where the communicating users cannot commu- SSL stripping Application [27], [42], [43] DNS Spoofing Application [37], [41] phishing attack Transport [26], [29], [31], [32], [34], [35] IP Spoofing Network [37], [45] TLS Network [28] BGP Network [22], [25], [33], [44] ARP poisoning Datalink nicate or share data. The attacker here duplicates the data coming from both ends and thus captures the whole network session [40].…”

Section: Attack Domainmentioning

confidence: 99%

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Unveiling Vulnerabilities of Web Attacks Considering Man in the Middle Attack and Session Hijacking

Muzammil,

Bilal,

Ajmal

et al. 2024

IEEE Access

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The current era extensively utilizes the Internet, which uses data. Due to the apparent openaccess Internet service, this data is highly vulnerable to attacks. Data privacy is affected by Web-based attacks. This Systematic Literature Review (SLR) focuses on two Web-based attacks: Man-In-The-Middle and session hijacking. It reviews about 30 studies from the years 2016-2023 that have been selected utilizing a proper study selection procedure. This SLR comprises three research questions. The first describes the overall trends in Man-In-The-Middle attacks and session hijacking studies. It shows that 7 articles were published in 2018, and the trend is decreasing to 4 articles by 2021. Moreover, 73% articles are published in conference venues, and India is the top contributor in this domain. Lastly, this question elaborated that IEEE is the top contributor as a publisher. The second addresses the sorts of attacks used by Man-In-The-Middle attacks and session hijacking on Transmission Control Protocol / Internet Protocol (TCP/IP). This demonstrates that Man-In-The-Middle attacks invade all layers and session hijacking attacks on only two, that is, the application and network layer. The third research question discusses the solutions provided by different studies to deal with Man-In-The-Middle attacks and session hijacking. In conclusion, this analysis highlights the need for stronger cybersecurity measures against Man-in-the-Middle and session hijacking assaults in the Internet era by revealing evolving trends, contributors, and solutions in data privacy. INDEX TERMS Privacy; Man-In-The-Middle attack; session hijacking; Hypertext Transfer Protocol (HTTP) hijacking

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Section: B Affect On Tcp/ip Layersmentioning

confidence: 99%

Section: Attack Domainmentioning

confidence: 99%

Section: Attack Domainmentioning

confidence: 99%

See 1 more Smart Citation

Unveiling Vulnerabilities of Web Attacks Considering Man in the Middle Attack and Session Hijacking

Muzammil,

Bilal,

Ajmal

et al. 2024

IEEE Access

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“…Web server is mainly responsible for receiving and sending HTTP messages [5]. After receiving the HTTP request sent by the client, the server will analyze the JSON data, get the result from the query database, encapsulate the result as JSON data, and return it to the client as the response of the HTTP message.…”

Section: Web Servermentioning

confidence: 99%

Cache Performance Optimization of QoC Framework

Laghari¹,

He²,

Laghari³

et al. 2018

ICST Transactions on Scalable Information Systems

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The main aim of this paper is based on the cache performance test of the QoC: quality of experience framework for cloud computing on the server. QoC framework is based on the server-side design and implementation of the use of hierarchical architecture. Reverse proxy technology is used to build a server cluster, which is composed of front-end access layer to achieve the server for load balancing, improve the performance of the system and the use of built-in distributed cache server. The cluster consists of the cache acceleration layer, which reduces the load of the backend database. The second database server cluster, which is constructed by the database master and slave synchronization technology, forms the data storage layer, which realizes the database read and writes separation and data redundancy. The server-side hierarchical architecture improves the performance and stability of the entire system, and has a high degree of scalability, laying a solid foundation for future expansion of system business logic and increases user volume. This paper presents new cache replacement algorithm for inconsistent video file size and then analyzes the specific needs for the multi-terminal type of QoC framework, and gives the client and server-side outline design; it describes the implementation details of the client and the server-side and finally the whole system of detailed functional and performance testing.

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“…In a traditional setting, a network service provider would deploy dedicated measurement agents, such as optical splitters, network test access points, etc., in the core network. Measurements would be taken passively to collect data [6]. However, the traditional setting has several drawbacks to be applied to smart homes.…”

Section: Introductionmentioning

confidence: 99%

A Smart Home Gateway Platform for Data Collection and Awareness

Wang

Chen³

2018

IEEE Commun. Mag.

Self Cite

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Smart homes have attracted much attention due to the expanding of Internet-of-Things (IoT) and smart devices. In this paper, we propose a smart gateway platform for data collection and awareness in smart home networks. A smart gateway will replace the traditional network gateway to connect the home network and the Internet. A smart home network supports different types of smart devices, such as in home IoT devices, smart phones, smart electric appliances, etc. A traditional network gateway is not capable of providing quality-of-service measurement, user behavioral analytics, or network optimization. Such tasks are traditionally performed with measurement agents such as optical splitters or network probes deployed in the core network. Our proposed platform is a lightweight plug-in for the smart gateway to accomplish data collection, awareness and reporting. While the smart gateway is able to adjust the control policy for data collection and awareness locally, a cloud-based controller is also included for more refined control policy updates. Furthermore, we propose a multi-dimensional awareness framework to achieve accurate data awareness at the smart gateway. The efficiency of data collection and accuracy of data awareness of the proposed platform is demonstrated based on the tests using actual data traffic from a large number of smart home users.

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Co_Hijacking Monitor: Collaborative Detecting and Locating Mechanism for HTTP Spectral Hijacking

Cited by 6 publications

References 8 publications

Unveiling Vulnerabilities of Web Attacks Considering Man in the Middle Attack and Session Hijacking

Unveiling Vulnerabilities of Web Attacks Considering Man in the Middle Attack and Session Hijacking

Cache Performance Optimization of QoC Framework

A Smart Home Gateway Platform for Data Collection and Awareness

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