• International Journal of Computer Science & Network Security
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• 제22권7호
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• pp.229-239
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• 2022

Today's Internet of Things (IoT) has had a dramatic increase in the use of various daily aspects. As a consequence, many homes adopt IoT technology to move towards the smart home. So, the home can be called smart when it has a range of smart devices that are united into one network, such as cameras, sensors, etc. While IoT smart home devices bring numerous benefits to human life, there are many security concerns associated with these devices. These security concerns, such as user privacy, can result in an insecure application. In this research, we focused on analyzing the vulnerabilities of IoT smart home cameras. This will be done by designing a new model that follows the STRIDE approach to identify these threats in order to afford an efficient and secure IoT device. Then, apply a number of test cases on a smart home camera in order to verify the usage of the proposed model. Lastly, we present a scheme for mitigation techniques to prevent any vulnerabilities that might occur in IoT devices.

• International Journal of Computer Science & Network Security
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• 제22권3호
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• pp.285-291
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• 2022

WSN is the major component for information transfer in IoT environments. Source Location Privacy (SLP) has attracted attention in WSN environments. Effective SLP can avoid adversaries to backtrack and capture source nodes. This work presents a Two-Level Randomized Sector-based Routing (TLRSR) model to ensure SLP in wireless environments. Sector creation is the initial process, where the nodes in the network are grouped into defined sectors. The first level routing process identifies sector-based route to the destination node, which is performed by Ant Colony Optimization (ACO). The second level performs route extraction, which identifies the actual nodes for transmission. The route extraction is randomized and is performed using Simulated Annealing. This process is distributed between the nodes, hence ensures even charge depletion across the network. Randomized node selection process ensures SLP and also avoids depletion of certain specific nodes, resulting in increased network lifetime. Experiments and comparisons indicate faster route detection and optimal paths by the TLRSR model.

• International Journal of Computer Science & Network Security
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• 제24권6호
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• pp.41-48
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• 2024

Existing PoS (Point of Sale) based payment frameworks are vulnerable as the Payment Application's integrity in the smart phone and PoS are compromised, vulnerable to reverse engineering attacks. In addition to these existing PoS (Point of Sale) based payment frameworks do not perform point-to-point encryption and do not ensure communication security. We propose a Smart and Secure PoS (SSPoS) Framework which overcomes these attacks. Our proposed SSPoS framework ensures point-to-point encryption (P2PE), Application hardening and Application wrapping. SSPoS framework overcomes repackaging attacks. SSPoS framework has very less communication and computation cost. SSPoS framework also addresses Heartbleed vulnerability. SSPoS protocol is successfully verified using Burrows-Abadi-Needham (BAN) logic, so it ensures all the security properties. SSPoS is threat modeled and implemented successfully.

• International Journal of Computer Science & Network Security
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• 제21권12호
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• pp.123-130
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• 2021

Cybersecurity has been vital for decades and will remain vital with upcoming ages with new technological developments. Every new day brings advancement in technology, which leads to new horizons, and at the same time, it brings new security challenges. Numerous researchers around the globe are continuously striving hard to provide better solutions for the daily basis of new arising security issues. However, the challenges are always there. These challenges become new norms during the current Covid pandemic, where most industries, small industrial enterprises, education, finance, public sectors, etc. were under several attacks and threats globally. The hacker has more opportunities during the pandemic period by shifting most of the operations live. This research enlightened the several cybersecurity attacks and threats during this pandemic time globally. It provided the best possible recommendations to avoid them using the cyber awareness and with appropriately linked training. This research can provide a guideline to the above stated sector by identifying the related attacks.

• International Journal of Computer Science & Network Security
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• 제22권10호
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• pp.282-290
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• 2022

A huge budget is spent on technological solutions to protect Information Systems from cyberattacks by organizations. However, it is not enough to invest alone in technology-based protection and to keep humans out of the cyber loop. Humans are considered the weakest link in cybersecurity chain and most of the time unaware that their actions and behaviors have consequences in cyber space. Therefore, humans' aspects cannot be neglected in cyber security field. In this work we carry out a systematic literature review to identify human factors in cybersecurity. A total of 27 papers were selected to be included in the review, which focuses on the human factors in cyber security. The results show that in total of 14 identified human factors, risk perception, lack of awareness, IT skills and gender are considered critical for organization as for as cyber security is concern. Our results presented a further step in understanding human factors that may cause issues for organizations in cyber space and focusing on the need of a customized and inclusive training and awareness programs.

• International Journal of Computer Science & Network Security
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• 제24권8호
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• pp.169-173
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• 2024

Nowadays high security is an important issue for most of the secure places and recent advances increase the needs of high-security systems. Therefore, needs to high security for controlling and permitting the allowable people to enter the high secure places, increases and extends the use of conventional recognition methods. Therefore, a novel identification method using retinal images is proposed in this paper. For this purpose, new mathematical functions are applied on corners and bifurcations. To evaluate the proposed method we use 40 retinal images from the DRIVE database, 20 normal retinal image from STARE database and 140 normal retinal images from local collected database and the accuracy rate is 99.34 percent.

• International Journal of Computer Science & Network Security
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• 제24권2호
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• pp.67-78
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• 2024

Software-Defined Networking (SDN) is a new emerging networking paradigm that has adopted a logically centralized architecture to increase overall network performance agility and programmability. Combining network virtualization with SDN will guarantees for combined advantages of improved flexibility and network performance. Combining SDN with hypervisors divides the network physical resources into several logical transparent and isolated virtual SDN network (vSDN), where each has its virtual controller. However, SDN hypervisors bring several advantages as well as several challenges to its network operators as for the virtual appliances, their efficient placement, assurance of network performance is mandatory, and their dynamic instantiation with their migration. In this article, we provide a brief and concise review of network virtualization along with its implementation in the SDN network. SDN hypervisors types are discussed, and taxonomy is provided to demonstrate the importance of hypervisors in SDN. A comparison of SDN hypervisors is performed to elaborate on the vital hypervisor software along with their features, and different challenges are discussed faced by the SDN network. A framework is proposed to add combined functionalities of hypervisors to create a more effective and efficient virtual system. The purpose of the framework is to increase network performance through proper configuration of resources, software, control plane isolation functions with defined rules and policies.

• International Journal of Computer Science & Network Security
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• 제21권1호
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• pp.174-183
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• 2021

The advent of social media has revolutionized the speed of communication between millions of people around the world in various cultures and disciplines. Social media is the best platform for exchanging opinions and ideas, interacting with other users of similar interests and sharing different types of media and files. With the phenomenal increase in the use of social media platforms, the need to pay attention to protection and security from attacks and misuse has also increased. The present study conducts a comprehensive survey of the latest and most important research studies published from 2018-20 on security and privacy on social media and types of threats and attacks that affect the users. We have also reviewed the recent challenges that affect security features in social media. Furthermore, this research pursuit also presents effective and feasible solutions that address these threats and attacks and cites recommendations to increase security and privacy for the users of social media.

• International Journal of Computer Science & Network Security
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• 제22권1호
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• pp.248-254
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• 2022

The main purpose of the study is to analyze the main aspects of personnel security in the context of the public administration system. Today the civil service is the central link in increasing the efficiency of the public administration system. One of the most important directions of reforming the civil service is strengthening personnel security, since the level of formation and implementation of managerial decisions depends on the staff of professional employees with the necessary qualities, competencies and competencies. As a result, the main aspects of personnel security in the context of public administration were analyzed.

• International Journal of Computer Science & Network Security
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• 제24권8호
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• pp.174-178
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• 2024

IoT is collection of different "things" which are associated with open web. As all the things are connected to the Internet, it offers convenience to end users for accessing the resources from "Any Where, Any Time" throughout the globe. At the same time, open nature of IoT provides a fertile ground to an intruder for launching different security related threats. If we can no apply proper security safeguards to the IoT System, then it will be not useful to society. Authentication, Encryption, Trust Management and Secure Routing are different domains to offer security in IoT system. Among them, Authentication is very much important security service as it validates device identity before granting access to system services/ resources. Existing IoT Authentication algorithms are fail to verify device identity in unambiguous way. They are vulnerable to different security threats such as Key Stolen threat, MITM threat and Location Spoofing threat. So, it is a demand of time to design an efficient and secure Multi-factor IoT algorithm which can offer better security and validate device identity in unambiguous way.