Publications by authors named "Amir Javed"

Rapid advancements in connected and autonomous vehicles (CAVs) are fueled by breakthroughs in machine learning, yet they encounter significant risks from adversarial attacks. This study explores the vulnerabilities of machine learning-based intrusion detection systems (IDSs) within in-vehicle networks (IVNs) to adversarial attacks, shifting focus from the common research on manipulating CAV perception models. Considering the relatively simple nature of IVN data, we assess the susceptibility of IVN-based IDSs to manipulation-a crucial examination, as adversarial attacks typically exploit complexity.

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With the rising number of people using social networks after the pandemic of COVID-19, cybercriminals took the advantage of (i) the increased base of possible victims and (ii) the use of a trending topic as the pandemic COVID-19 to lure victims and attract their attention and put malicious content to infect the most possible number of people. Twitter platform forces an auto-shortening to any included URL within a 140-character message called "tweet" and this makes it easier for the attackers to include malicious URLs within Tweets. Here comes the need to adopt new approaches to resolve the problem or at least identify it to better understand it to find a suitable solution.

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This paper tests disruption strategies in Twitter networks containing malicious URLs used in drive-by download attacks. Cybercriminals use popular events that attract a large number of Twitter users to infect and propagate malware by using trending hashtags and creating misleading tweets to lure users to malicious webpages. Due to Twitter's 280 character restriction and automatic shortening of URLs, it is particularly susceptible to the propagation of malware involved in drive-by download attacks.

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Blood pressure control in hypertensive patients with metabolic abnormalities is challenging because many antihypertensive drugs adversely affect metabolism. Nebivolol a 3rd generation vasodilatory β-blocker offer neutral or beneficial effects on insulin sensitivity and lipid metabolism. The purpose of this study was to evaluate the effect of nebivolol and atenolol on glycemic control and lipid profile in type 2 diabetes patients with concomitant hypertension.

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The aim of this study was to evaluate the efficacy of lymphoscintigraphy, gamma probe guided sentinel lymph node biopsy (GP-SLNB) in the management of breast cancer and study the follow-up results. Fifty two patients (mean age 47.28+/-9.

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Objective: To evaluate the efficacy and usefulness of (99m)Tc-sestamibi scintigraphy and gamma probe localization of parathyroid glands in patients with primary hyperparathyroidism and establish radio-guided minimally invasive parathyroidectomy at Hussain Makki Al Jumma Center for Specialized Surgery, Kuwait.

Subjects And Methods: Twelve patients with primary hyperparathyroidism (mean age: 48 +/- 14 years; median age: 46 years; age range: 29-68 years) were evaluated. The diagnosis of hyperparathyroidism was established by elevated serum calcium and parathyroid hormone levels.

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Objectives: The interpretation of mammogram in a postsurgical breast can be extremely complex and difficult because masses, calcifications, and architectural distortion can mimic cancer. Scintimammography has been proposed because it is not affected by these morphological changes and can potentially be used in patients after excision biopsy to assess any residual tumor, other foci of disease (multifocal disease).

Materials And Methods: The population comprised of 21 patients (mean age: 47.

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