On Routing Protocols for High Performance

Bhangwar, Noor H.; Halepoto, Imtiaz Ali; Sadhayo, Intesab Hussain; Khokhar, Suhail; Laghari, Asif Ali

doi:10.24846/v26i4y201708

Cited by 13 publications

(7 citation statements)

References 8 publications

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“…The author aims to define a theoretic game approach of deception involving an attacker and a defender in the IoT context. Y. M. Pa Pa et al show that Telnet-based attacks targeting IoT devices have an exponential trend and propose a low interaction honeypot system that emulates multiple CPU architectures (ARM, MIPS, and PPC) mainly used by IoT devices [28,29]. J. Guarnizo et al depict a new IoT honeypot-based scalable architecture named SIPHON.…”

Section: Iot Honeypot Systemsmentioning

confidence: 99%

On the rewards of self-adaptive IoT honeypots

et al. 2019

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In an era of fully digitally interconnected people and machines, IoT devices become a real target for attackers. Recent incidents such as the well-known Mirai botnet, have shown that the risks incurred are huge and therefore a risk assessment is mandatory. In this paper we present a novel approach on collecting relevant data about IoT attacks. We detail a SSH/Telnet honeypot system that leverages reinforcement learning algorithms in order to interact with the attackers, and we present the results obtained in view of defining optimal reward functions to be used. One of the key issues regarding the performance of such algorithms is the direct dependence on the reward functions used. The main outcome of our study is a full implementation of an IoT honeypot system that leverages Apprenticeship Learning using Inverse Reinforcement Learning, in order to generate best suited reward functions.

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Section: Iot Honeypot Systemsmentioning

confidence: 99%

On the rewards of self-adaptive IoT honeypots

et al. 2019

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“…The topology of the network determines the size of this subset of nodes [17]. In OLSR, link state information is created and forwarded only by MPR nodes during the flooding process across the network [18]. In addition, OLSR uses two main types of control messages such as HELLO and Topology Control (TC) messages to find the route and maintain the network topology information.…”

Section: B Optimized Link State Routing Protocol (Olsr)mentioning

confidence: 99%

Investigating the Impact of Mobility Models on MANET Routing Protocols

Abdullah¹,

Özen²,

Bayramoglu³

2019

ijacsa

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A mobile ad hoc network (MANET) is a type of multi-hop network under different movement patterns without requiring any fixed infrastructure or centralized control. The mobile nodes in this network moves arbitrarily and topology changes frequently. In MANET routing, protocols play an important role to make reliable communication between nodes. There are several issues affecting the performance of MANET routing protocols. Mobility is one of the most significant factors that have an impact on the routing process. In this paper, FCM, SCM, RWM and HWM mobility models are designed to analyze the performance of AODV, OLSR and GRP protocols, with ten pause time values. These models are based on varying speeds and pause time of MANET participants. Different node parameters such as data drop rate, average end-to-end delay, media access delay, network load, retransmission attempts and throughput are used to make a performance comparison between mobility models. The simulation results showed that in most of the cases OLSR protocol provides better performance than other two routing protocols and it is more suitable for networks that require low delay and retransmission attempts, and high throughput.

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“…Scheduling of different data flows is based on a priority value, which is calculated by using the outstanding data of each flow. The researchers in [16] suggest that the design of a routing protocol is very important.…”

Section: Related Workmentioning

confidence: 99%

Effect of TCP Buffer Size on the Internet Applications

Halepoto¹,

Phulpoto²,

Manzoor³

et al. 2018

ijacsa

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The development of applications, such as online video streaming, collaborative writing, VoIP, text and video messengers is increasing. The number of such TCP-based applications is increasing due to the increasing availability of the Internet. The TCP protocol, works at the 4th layer of the Internet model and provides many services such as congestion control, reliable communication, error detection and correction. Many new protocols have been proposed such as stream control transmission protocol (SCTP) with more features compared to the TCP. However, due to the wide deployment, TCP is still the most widely used. TCP creates the segments and transmit to the receiver. In order to prevent the errors TCP saves the segments into the sender buffer. Similarly, the data is also saved at the receiver buffer before its transmission to the application layer. The selection of TCP sender and receiver buffer may be varied. It is very important because many applications work on the smartphones that are equipped with a small amount of memory. In many applications such as online video streaming, some errors are possible and it is not necessary to retransmit the data. In such case, a small buffer is useful. However, on text transmission the complete reassembly of message is required by the TCP before transmission to the application layer. In such case, the large buffer size is useful that also minimizes the buffer blocking problem of TCP. This paper provides a detailed study on the impact of TCP buffer size on smart-phone applications. A simple scenario is proposed in NS2 simulator for the experimentation.

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On Routing Protocols for High Performance

Cited by 13 publications

References 8 publications

On the rewards of self-adaptive IoT honeypots

On the rewards of self-adaptive IoT honeypots

Investigating the Impact of Mobility Models on MANET Routing Protocols

Effect of TCP Buffer Size on the Internet Applications

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