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All Journal Indonesian Journal of Electrical Engineering and Computer Science
Warusia Yassin
Universiti Teknikal Malaysia Melaka

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New insider threat detection method based on recurrent neural networks Mohammed Nasser Al-mhiqani; Rabiah Ahmad; Zaheera Zainal Abidin; Warusia Yassin; Aslinda Hassan; Ameera Natasha Mohammad
Indonesian Journal of Electrical Engineering and Computer Science Vol 17, No 3: March 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v17.i3.pp1474-1479

Abstract

Insider threat is a significant challenge in cybersecurity. In comparison with outside attackers, inside attackers have more privileges and legitimate access to information and facilities that can cause considerable damage to an organization. Most organizations that implement traditional cybersecurity techniques, such as intrusion detection systems, fail to detect insider threats given the lack of extensive knowledge on insider behavior patterns. However, a sophisticated method is necessary for an in-depth understanding of insider activities that the insider performs in the organization. In this study, we propose a new conceptual method for insider threat detection on the basis of the behaviors of an insider. In addition, gated recurrent unit neural network will be explored further to enhance the insider threat detector. This method will identify the optimal behavioral pattern of insider actions.
Blackhole attacks in internet of things networks: a review Noor Hisham Kamis; Warusia Yassin; Mohd Faizal Abdollah; Siti Fatimah Abdul Razak; Sumendra Yogarayan
Indonesian Journal of Electrical Engineering and Computer Science Vol 30, No 2: May 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v30.i2.pp1080-1090

Abstract

The internet of things (IoT) is one of data revolution area and is the following extraordinary mechanical jump after the internet. In terms of IoT, it is expected that electronic gadgets that are used on a regular basis would be connected to the current of the internet. IPv6 over low-power wireless personal area networks (6LoWPAN) is a one of IPv6 header pressure technology, and accordingly, it is vulnerable to attack. The IoT is a combination of devices with restricted resource assets like memory, battery power, and computational capability. To solve this, RPL or routing protocol for low power Lossy network is deploy by utilizing a distance vector scheme. One of denial of service (Dos) attack to RPL network is blackhole attack in which the assailant endeavors to become a parent by drawing in a critical volume of traffic to it and drop all packets. In this paper, we discuss research on numerous attacks and current protection methods, focusing on the blackhole attack. There is also discussion of challenge, open research issues and future perspectives in RPL security. Furthermore, research on blackhole attacks and specific detection technique proposed in the literature is also been presented.
Co-Authors Ameera Natasha Mohammad Aslinda Hassan Mohammed Nasser Al-mhiqani Mohd Faizal Abdollah Noor Hisham Kamis Rabiah Ahmad Siti Fatimah Abdul Razak Sumendra Yogarayan Zaheera Zainal Abidin