Informatics Publishing Limited

Asia Begum ¹, Faheem Khan ¹, Parveen Mehboob ¹, Muhammad Shoaib ¹, Lala Rukh ¹

Affiliations
1 Gandhara University, Peshawar, PK

Abstract

Despite many works on collaborative networked organizations (CNOs), CSCW, groupware, workflow systems and social networks, computer support for virtual teams is still insufficient, especially support for agility, i.e. the capability of virtual team members to rapidly and cost efficiently adapt the way they interact to changes. In this paper, requirements for computer support for agile virtual teams are presented. Next, an extension of the concept of social protocol is proposed as a novel model supporting agile interactions within virtual teams. The extended concept of social protocol consists of an extended social network and a workflow model. In this paper modeling collaboration processes is presented in which mainly humans are involved. In this paper virtual team agility (VTA) are presented and successfully implemented and the concept of social protocol, combining social networks and workflow models, is proposed as a model. In this paper, the requirements of computer support for virtual team agility (VTA) are presented. Additionally, the concept of social protocol, combining social networks and workflow models, is proposed as a model supporting interactions within agile VT.

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Sohaib Ahmad ¹, Faheem Khan ¹, Mukhtar Ahmad ¹, Shazia Naeem ¹, M. N. Khalid ¹, Asia Begum ¹

Affiliations
1 Islamia College University, Peshawar, KPK, PK

Abstract

In general, Security techniques pursue two defense lines: one preventive and the second one is reactive6. The first one offers techniques to circumvent any type of Attack, as firewalls and cryptographic systems. The second consists in getting act on demand to lessen Intrusions, as Intrusion Detection systems. This paper observes Survivable approaches whose purpose is to facilitate network s to complete their functions properly and significantly even In the presence of Intrusions. preventive, reactive techniques and Tolerance defense lines. This paper established Survivability concepts and its association with preventive, reactive and Tolerance defense lines. Survivable MANETs will be capable to accomplish their purposes and aims by means of the cooperation between those three defense lines. Key Properties of Survivability as resistance, acknowledgment, recovery and adaptability were thorough, and Survivability needs for MANETs were examined. In conclusion, this function highlights that a completely Survivable MANET be supposed to be appropriate cooperatively the three defense lines as an alternative of only one or two lines separately.

Keywords

Survivability, Intrusion Tolerance, MANETs, Security.

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Mukhtar Ahmad ¹, Faheem Khan ¹, Sohaib Ahmad ¹, Shazia Naeem ¹, M. N. Khalid ¹, Shehzad Rizwan ¹

Affiliations
1 Islamia College University, Peshawar, KPK, PK

Abstract

In this paper, we are showing two Intrusion Detection Techniques for MANET as we know that Data accessibility in a MANETs is influenced by Mobility and Power constrain of the Servers and Clients, and the data in MANETSs be replicated. In this paper we exercise two methods for transferring of Communication among the Nodes. The first method is planned for finding of malevolent Nodes in a Neighborhood of Nodes in which each pair of Nodes in the Neighborhood are contained by the Radio range within Each other.. The next method is to planned for the exposure of malevolent Nodes in a Neighborhood of Nodes, where every pair of Nodes will not be in the Radio range of one another but a Node among them having all the other Nodes in its one count range or one-hop vicinity. In this paper we exercise Intrusion Detection System(IDS) for finding Malevolent Node and the two method known as Clique and Cluster as shown in[8]. To Summarize, it can be seen from ADCLI Algorithm indeed Detects the Malevolent Nodes effectively with a towering proportion of accurateness when at most k malevolent Nodes are present in a set of n (n^³ 4k + 1) Nodes, Even when there is a practical proportion of Packet collision (Message destruction). Moreover, standard false Detection is also minimum in such a situation. on the other hand for the situations where more than k malevolent Nodes are present, the result might be volatile. The proof of accuracy show that the Algorithm functions properly at all times for a consistent channel. In situation of the ADCLU Algorithm, Algorithm functions well Even in an unpredictable channel where the proportion of collision is around 5 %. The two methods known as Clique and Cluster as shown in [8].In these methods a Node call the Monitor Node commences the discovering procedure. Depend on the Communications, which is accepted through the Detection course of action, every Node decides the Nodes it believes to be malevolent and drive a Message to the Monitor Node. The Monitor Node ahead examining the Message to decide the malevolent Nodes among the Suspected Nodes. In this paper, we are showing two Intrusion Detection Techniques for MANET.The first method is planned for finding of malevolent Nodes in a Neighborhood of Nodes zzzzin which each pair of Nodes in the Neighborhood are contained by the Radio range within Each other. This kind of Nodes in the Neighborhood is called a Clique. The next method is to planned for the exposure of malevolent Nodes in a Neighborhood of Nodes, where every pair of Nodes will not be in the Radio range of one another but a Node among them having all the other Nodes in its one count range or one-hop vicinity. Such Neighborhood is alike to a Cluster as shown in 8. The above two methods exercise Communication transferring among the Nodes. A Node call the Monitor Node commences the discovering procedure. Depend on the Communications, which is accepted through the Detection course of action, every Node decides the Nodes it believes to be malevolent and drive a Message to the Monitor Node. The Monitor Node ahead examining the Message to decide the malevolent Nodes among the Suspected Nodes.

Keywords

MANET, Intrusion Detection System (IDS), Malevolent Node, Security, Wireless Network.

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