An Introduction to MultiAgent Systems.

http://wpage.unina.it/valerio.persico/pubs/CloudIoT_FGCS.pdf

Integration of Cloud computing and Internet of Things

In this paper, we define and explore proofs of retrievability (PORs). A POR scheme enables an archive or back-up service (prover) to produce a concise proof that a user (verifier) can retrieve a target file F, that is, that the archive retains and reliably transmits file data sufficient for the user to recover F in its entirety.A POR may be viewed as a kind of cryptographic proof of knowledge (POK), but one specially designed to handle a large file (or bitstring) F. We explore POR protocols here in which the communication costs, number of memory accesses for the prover, and storage requirements of the user (verifier) are small parameters essentially independent of the length of F. In addition to proposing new, practical POR constructions, we explore implementation considerations and optimizations that bear on previously explored, related schemes.In a POR, unlike a POK, neither the prover nor the verifier need actually have knowledge of F. PORs give rise to a new and unusual security definition whose formulation is another contribution of our work.We view PORs as an important tool for semi-trusted online archives. Existing cryptographic techniques help users ensure the privacy and integrity of files they retrieve. It is also natural, however, for users to want to verify that archives do not delete or modify files prior to retrieval. The goal of a POR is to accomplish these checks without users having to download the files themselves. A POR can also provide quality-of-service guarantees, i.e., show that a file is retrievable within a certain time bound.

PORs: Proofs of Retrievability for Large Files

IoT security: Review, blockchain solutions, and open challenges

Review: Intrusion detection system: A comprehensive review

Mobile ad hoc networks are highly vulnerable to attacks due to infrastructure less environment. The features of MANETs are like open media, dynamic changes in topology, cooperative and collaborative algorithm and no centralized monitoring system. These features make the network more prone to malicious attack. The traditional way of protecting networks with firewalls and encryption software is no longer sufficient and effective for those features. In this paper, we present a new cluster based intrusion detection algorithm that takes care of black hole attacks in a MANET. This proposed algorithm is based on trustworthiness of the nodes in a network. The network is considered to be a layered structured. The nodes are member of a cluster. Each cluster has cluster head that takes care of all the members of its own cluster and communicates with cluster head at layer 2 whenever required. The cluster head at layer 2 communicate with all cluster head at layer 1. The selection of cluster head depends on three parameters battery power, mobility and trust value of a node in a cluster. Periodically the cluster head updation is done according to three parameters. We have implemented our algorithm using the NS simulator. The performance of the proposed Intrusion Detection System (IDS) has also been evaluated in the process. The performance graph shows marked improvement as far as packet dropping is concerned.

MCBHIDS: Modified layered cluster based algorithm for black hole IDS

The use of sensors to sense a multitude of events forms the basis of the all-pervasive computing concepts of today. The challenge lies in transferring the information sensed over the wireless links with limited bandwidth. The sensors are normally deployed close to each other and hence end up sensing the same event and sending the information. This gives rise to considerable redundancy and energy wastage of individual nodes. Clusterisation is the common technique for reducing the load of the nodes in order to increase the overall lifetime of the network. The selection of cluster head is very important in this regard. This paper uses a multitude of different parameters such as residual energy, distance from sink node, number of neighbour nodes etc., for selecting a cluster head. A multi-level energy-aware routing framework has been proposed here. The simulation result shows that the proposed algorithm increases network lifetime more than the other existing routing protocols.

Cluster-based energy-aware routing scheme CBEARS for wireless sensor network

Service oriented computing (SoC) changes the way of conducting business as these services are often available on a network. As traditional access control approach may not work in the changed environment, protecting business resource from misuse is a big challenge. Again, static allocation of access right to users will not be an efficient solution as SoC environment changes with time. This paper focuses on design of dynamic access control approach for business process. Here, we propose a context and trust aware workflow oriented access framework. Proposed approach focuses on inter-component relationship where phases are executed either in online or offline mode to avoid performance bottleneck. The concept of static binding in role based access model is extended to support dynamic access control by including context awareness and trust relationship between owner and user. Trust is either directly or indirectly dependent on service level agreement (SLA) compliance, quality of service, reputation and provenance (historical data). In this paper, the framework is designed by mapping proposed access model to workflow instances at run-time. It is validated by workflow net model, where workflow instance can be successfully executed without any interruption and can satisfy soundness property while incorporating proposed access control approach.

/pdf/context-and-trust-aware-workflow-oriented-access-framework-5gtcl7g1bi.pdf

Context and Trust Aware Workflow Oriented Access Framework

Congestion is a significant issue for event-based applications due to the continuous data collection and transmission by the sensors constituting the network. The congestion control technique monitors the process of adjusting the data and intends to manage the network traffic level to the threshold value. The information gathered from an intensive study is required to strengthen the knowledge base for devising a QoS based congestion evasion clustering framework of wireless sensor networks. In this scheme, the cluster heads are optimally determined and dispersed over the network. The data aggregation approach has been applied in a clustered network and set out a crucial paradigm for WSN routing. The proposal employs to mitigate congestion while messages are being forwarded via an alternate route to distribute the traffic and increase the throughput. This technique aims to balance the energy ingestion among the sensor nodes, reduce energy consumption, improve network lifetime, and achieve the quality of services. The result analysis revealed that the proposed scheme recommends 22.5% better throughput, 21% lesser end-to-end delay, 25.5% better delivery ratio, and efficiently relieves congestion while preserving the network's performance for attaining QoS in wireless sensor networks.

QoS based congestion evasion clustering framework of wireless sensor networks

This paper presents a scalable logical topology for multihop optical networks based on de-Bruijn graph, a regular non-scalable one with simple routing strategy. In addition to its scalability property, this new topology maintains the simplicity in routing as in the de-Bruijn graph while keeping its diameter same throughout the insertion of nodes as that in a de-Bruijn graph where the diameter is of logarithmic value of its number of nodes. Also, perturbation in the network is maintained at a very low level, while inserting a node in the network.

https://ieeexplore.ieee.org/iel5/7129/19210/00888785.pdf

Rituparna Chaki

Papers

MCBHIDS: Modified layered cluster based algorithm for black hole IDS

Cluster-based energy-aware routing scheme CBEARS for wireless sensor network

Context and Trust Aware Workflow Oriented Access Framework

QoS based congestion evasion clustering framework of wireless sensor networks

Design of a new scalable topology for multihop optical networks