Peer to peer (P2P) e-commerce applications exist at the edge of the Internet with vulnerabilities to passive and active attacks. These attacks have pushed away potential business firms and individuals whose aim is to get the best benefit in e-commerce with minimal losses. The attacks occur during interactions between the trading peers as a transaction takes place. In this paper, we propose how to address Sybil attack, which is a kind of active attack. The peers can have bogus and multiple identity to fake their own ones. Most existing work, which concentrates on social networks and trusted certification, has not been able to prevent Sybil attack peers from participating in transactions. Our work exploits the neighbor similarity trust relationship to address Sybil attack. In this approach, referred to as Sybil Trust, duplicated Sybil attack peers can be recognized as the neighbor peers become acquainted and hence more trusted to each other. Security and performance analysis shows Sybil attack can be minimized by our proposed neighbor similarity trust.
In dynamic peer to peer (P2P) e-commerce, it is an important and difficult problem to promote online businesses without sacrificing the desired trust to secure transactions. In this paper, we address malicious threats in order to guarantee secrecy and integrity of recommendations exchanged among peers in P2P e-commerce. In addition to trust, secret keys are required to be established between each peer and its neighbors. Further, we propose a key management approach gkeying to generate six types of keys. Our work mainly focuses on key generation for securing recommendations, and ensuring the integrity of recommendations. The proposed approach presented with a security and performance analysis, is more secure and more efficient in terms of communication cost, computation cost, storage cost, and feasibility.
The simplicity with which products and prices are compared in e-commerce brings an attractive option for many online merchants. The completion of online business transactions with the condition that one must provide personal information has always been an act that beckons hesitation. Most online traders are conscious of various threats and attacks such as credit card fraud, identity theft, spoofing, hacking, phishing, and other abuses, leading to low trust in transactions. P2P systems take place at the edge of the Internet. Peer communities are established dynamically with peers unknown to each other. In our proposed mechanism, peers form groups to ensure trust and security. Each group is established based on interest among peers. In this paper, we show how peers form groups, and select group leaders. A peer can belong to more than one up to n groups. The neighbor similarity behavior is shown by peers having common neighbors.
Although manufacturing firms support economic development, wealth creation and poverty alleviation, a dismal performance has been reported. In Kenya, the share of gross domestic product (GDP) from manufacturing sector has remained below 10 per cent while its growth rate remained at about 5 percent in the last 10 years. This has been attributed to low innovation and technology diffusion. This study examined the effects of IT capability on firm performance. The study was anchored on Resource Based View, and Dynamic Capability Theory. Positivism philosophical approach, descriptive and explanatory research design were adopted. Using stratified and random sampling techniques, a sample of 222 manufacturing firms from Nairobi City County, was obtained. A semi-structured questionnaire was prepared and used for data collection. To ascertain reliability, Cronbach’s alpha coefficient measure of 0.875 was obtained. Research experts confirmed validity of the study instrument. The data was analysed through descriptive statistics to condense the survey data. To test hypotheses, inferential statistics was used. The results showed a positive significant effect of IT infrastructure capability (B=0.247, p=0.005 < 0.05), IT personnel capability (B=0.226, p=0.044 < 0.05), IT management capability (B=0.187, p=0.018 < 0.05) and IT reconfiguration capability (B=0.291, p=0.001 < 0.05) on performance. The study findings also exhibited a 49.2 per cent explanatory power of IT capability on firm performance. Study findings provide a framework for improving firm performance. Subsequently, firm managers should create interventions on IT capability to enhance and sustain superior firm performance.
The research which addresses the diseases of the brain in the field of the vision by computer is one of the challenges in recent times in medicine, the engineers and researchers recently launched challenges to carry out innovations of technology pointed in imagery. This paper focuses on a new algorithm for brain segmentation of color images based on fuzzy classification to diagnose accurately the region of cancer and the area of epilepsy. In a first step it proceeds by a fine segmentation using the algorithm of fuzzy c- means (FCM). It then applies a test fusion of fuzzy classes. The result is a coarse segmentation, where each region is the union of elementary regions grown from FCM. The fuzzy C-Means (FCM) clustering is an iterative partitioning method thatproduces optimal c-partitions. The standard FCM algorithm takes a long time to partition a large data set. The proposed FCM program must read the entire data set into a memory for processing. Our results show that the system performance is robust to different types of images.
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